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HEREARS-L1: Learning
Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci
10:30 ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION
Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Pennsylvania State University, USA
10:50 ARS-L1.2—A HIERARCHICAL STRUCTURED DISCRIMINATIVE DICTIONARY LEARNING FOR CLASSIFICATION
Jaesik Yoon, Jinho Choi, Chang Yoo, Korea Advanced Institute of Science and Technology, Korea
11:10 ARS-L1.3—DICTIONARY-BASED MULTIPLE INSTANCE LEARNING
Ashish Shrivastava, University of Maryland, College Park, USA; Jaishanker Pillai, Google, USA; Vishal Patel, Rama Chellappa, University of Maryland, College Park, USA
11:30 ARS-L1.4—LEARNING VISUAL CATEGORIES THROUGH A SPARSE REPRESENTATION CLASSIFIER BASED CROSS-CATEGORY KNOWLEDGE TRANSFER
Ying Lu, Liming Chen, Alexandre Saidi, Ecole Centrale de Lyon, France; Zhaoxiang Zhang, Yunhong Wang, Beihang University, P.R. China
11:50 ARS-L1.5—SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL LEARNING
Thibaut Durand, Sorbonne Universités, France; David Picard, University of Cergy-Pontoise, France; Nicolas Thome, Matthieu Cord, Sorbonne Universités, France
12:10 ARS-L1.6—A FAST LEARNING ALGORITHM FOR MULTI-LAYER EXTREME LEARNING MACHINE
Jiexiong Tang, Chenwei Deng, Beijing Institute of Technology, P.R. China; Guang-Bin Huang, Junhui Hou, Nanyang Technological University, Singapore
CIP-L1: Computational Photography
Tuesday 10:30–12:30; Oral Session; Room: Ampere 5+6
10:30 CIP-L1.1—A COMPUTATIONAL PHOTOGRAPHY SHOOTOUT: WAVEFRONT CODING VS. LATTICE FOCAL IMAGING
David Stoker, Jan van der Laan, Eric Lavelle, Christopher Sakai, Jonathan Wedd, SRI International, USA
10:50 CIP-L1.2—COST-AWARE DEPTH MAP ESTIMATION FOR LYTRO CAMERA
Min-Jung Kim, Tae-Hyun Oh, In So Kweon, Korea Advanced Institute of Science and Technology, Korea
11:10 CIP-L1.3—RECONSTRUCTING SCENE DEPTH AND APPEARANCE BEHIND FOREGROUND OCCLUSION USING CAMERA ARRAY
Zhaolin Xiao, Qing Wang, Lipeng Si, Guoqing Zhou, Northwestern Polytechnical University, P.R. China
11:30 CIP-L1.4—COMPUTATIONAL 3D AND REFLECTIVITY IMAGING WITH HIGH PHOTON EFFICIENCY
Dongeek Shin, Ahmed Kirmani, Massachusetts Institute of Technology, USA; Vivek Goyal, Boston University, USA; Jeffrey H. Shapiro, Massachusetts Institute of Technology, USA
11:50 CIP-L1.5—PLENOPTIC SYSTEM IDENTIFICATION USING RANDOM CALIBRATION PATTERNS
Jae Park, Schlumberger, USA; Ivana Toši?, Kathrin Berkner, Ricoh Innovations, Corp., USA
12:10 CIP-L1.6—ILLUMINATION AND DEVICE INVARIANT IMAGE STITCHING
Hasan Sheikh Faridul, Jurgen Stauder, Technicolor R&D, France; Alain Trémeau, University Jean Monnet, France
ELI-L1: Multiview and 3D Coding
Tuesday 10:30–12:30; Oral Session; Room: Dickens 3+4
10:30 ELI-L1.1—UNIFIED WEDGELET GENERATION FOR DEPTH CODING IN 3D-HEVC
Xin Zhao, Li Zhang, Ying Chen, Qualcomm, USA
10:50 ELI-L1.2—MRF-BASED PLANAR CO-SEGMENTATION FOR DEPTH COMPRESSION
Burak Özkalayci, Aydin Alatan, Middle East Technical University, Turkey
11:10 ELI-L1.3—LUMINANCE CODING IN GRAPH-BASED REPRESENTATION OF MULTIVIEW IMAGES
Thomas Maugey, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Yung-Hsuan Chao, Akshay Gadde, Antonio Ortega, University of Southern California, USA; Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne, Switzerland
11:30 ELI-L1.4—FULL PARALLAX SUPER MULTI-VIEW VIDEO CODING
Antoine Dricot, Orange Labs & Télécom ParisTech, France; Joel Jung, Orange Labs, France; Marco Cagnazzo, Béatrice Pesquet, Frederic Dufaux, Télécom ParisTech, France
11:50 ELI-L1.5—RATE CONTROL TECHNIQUE BASED ON 3D QUALITY OPTIMIZATION FOR 3D VIDEO ENCODING
Wen-Nung Lie, National Chung Cheng University, Taiwan; Yu-Peng Liao, National Chung Cheng UNiversity, Taiwan
12:10 ELI-L1.6—GENERAL RATE-ALLOCATION IN FREE-VIEWPOINT TELEVISION
Camilo Dorea, Ricardo de Queiroz, University of Brasil, Brazil
TEC-L1: Medical-Image Segmentation
Tuesday 10:30–12:30; Oral Session; Room: Ampere 1+3
10:30 TEC-L1.1—ROBUST SHAPE-CONSTRAINED ACTIVE CONTOUR FOR WHOLE HEART SEGMENTATION IN 3-D CT IMAGES FOR RADIOTHERAPY PLANNING
Xuan Zhao, Yao Wang, NYU Polytechnic School of Engineering, USA; Gabor Jozsef, New York University School of Medicine, USA
10:50 TEC-L1.2—SIMULTANEOUS BIAS CORRECTION AND IMAGE SEGMENTATION VIA $L_0$ REGULARIZED MUMFORD-SHAH MODEL
Yuping Duan, Institute for Infocomm Research, Singapore; Huibin Chang, Tianjin Normal University, P.R. China; Weimin Huang, Jiayin Zhou, Institute for Infocomm Research, Singapore
11:10 TEC-L1.3—4DGVF SEGMENTATION OF VECTOR-VALUED IMAGES
Vincent Jaouen, Paulo Gonzalez, Sylvie Chalon, Denis Guilloteau, Université de Tours, France; Irene Buvat, Universidad Católica del Maule, Chile; Clovis Tauber, Université de Tours, France
11:30 TEC-L1.4—CROSS MODALITY LABEL FUSION IN MULTI-ATLAS SEGMENTATION
Keyvan Kasiri, Paul Fieguth, David Clausi, University of Waterloo, Canada
11:50 TEC-L1.5—IDENTIFYING REGIONS OF INTEREST FOR DISCRIMINATING ALZHEIMER’S DISEASE FROM MILD COGNITIVE IMPAIRMENT
Helena Aidos, João Duarte, Ana Fred, Instituto de Telecomunicações, Instituto Superior Técnico, Portugal
12:10 TEC-L1.6—AUTOMATIC DENDRITIC SPINE DETECTION USING MULTISCALE DOT ENHANCEMENT FILTERS AND SIFT FEATURES
Lavdie Rada, Ertunc Erdil, Sabanc? University, Turkey; A. Ozgur Argunsah, Champalimaud Centre for the Unknown, Portugal; Devrim Unay, Bahcesehir University, Turkey; Müjdat Çetin, Sabanc? University, Turkey
SS14: Synthetic-Aperture-Radar Imaging
Tuesday 10:30–12:30; Oral Session; Room: Dickens 1+2
10:30 SS14.1—CLASS EVOLUTION DATA ANALYTICS FROM SAR IMAGE TIME SERIES USING INFORMATION THEORY MEASURES
Carmen Patrascu, Daniela Faur, Anca Popescu, University Politehnica of Bucharest, Romania; Mihai Datcu, German Aerospace Center, Germany
10:50 SS14.2—MODELING THE DISTRIBUTION OF PATCHES WITH SHIFT-INVARIANCE: APPLICATION TO SAR IMAGE RESTORATION
Sonia Tabti, Télécom ParisTech, France; Charles-Alban Deledalle, Université de Bordeaux, France; Loic Denis, Laboratoire Hubert Curien, France; Florence Tupin, Télécom ParisTech, France
11:10 SS14.3—ROBUST JOINT DOWN- AND CROSS-RANGE SPARSE RECOVERY OF RAW ULTRA-WIDEBAND SAR DATA
Sonia Joy, Johns Hopkins University, USA; Lam Nguyen, Army Research Laboratory, USA; Trac Tran, Johns Hopkins University, USA
11:30 SS14.4—FRACTAL DIMENSION IMAGES FROM SAR IMAGES
Daniele Riccio, Gerardo Di Martino, Antonio Iodice, Giuseppe Ruello, Università di Napoli Federico II, Italy; Ivana Zinno, IREA, CNR, Italy
11:50 SS14.5—ESTIMATING BEDROCK AND SURFACE LAYER BOUNDARIES AND CONFIDENCE INTERVALS IN ICE SHEET RADAR IMAGERY USING MCMC
Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey Fox, Indiana University, USA
12:10 SS14.6—RADIO-FREQUENCY INTERFERENCE SEPARATION AND SUPPRESSION FROM ULTRA-WIDEBAND RADAR DATA VIA LOW-RANK MODELING
Lam Nguyen, Army Research Laboratory, USA; Minh Dao, Trac Tran, Johns Hopkins University, USA
SS16: 3D Multimedia Experience Over the Future Internet
Tuesday 10:30–12:30; Oral Session; Room: Ampere 7+8
Session Chairs: Safak Dogan, University of Surrey; Ahmet Kondoz, Loughborough University
10:30 SS16.1—3D VIDEO STREAMING TRANSMISSION OVER OFDMA-BASED SYSTEMS
Valdemar Monteiro, Kazi Huq, Shahid Mumtaz, Instituto de Telecomunicações, Portugal; Hugo Marques, University of Aveiro, Portugal; Christos Thomos, University of Patras, Greece; Tasos Dagiuklas, Hellenic Open University & University of Patras, Greece; Jonathan Rodriguez, Instituto de Telecomunicações, Portugal
10:50 SS16.2—QOE MODEL OF SCALABLE MDC STEREOSCOPIC VIDEO OVER IP NETWORKS
Charalambos Mysirlidis, Ilias Politis, Tasos Dagiuklas, Hellenic Open University & University of Patras, Greece
11:10 SS16.3—DEPTH-ASSISTED STEREO VIDEO ENHANCEMENT USING GRAPH-BASED APPROACHES
Dong Tian, Hassan Mansour, Anthony Vetro, Mitsubishi Electric Research Laboratories, USA; Yongzhe Wang, Antonio Ortega, University of Southern California, USA
11:30 SS16.4—AN APPROACH TO IMMERSIVE AUDIO RENDERING WITH WAVE FIELD SYNTHESIS FOR 3D MULTIMEDIA CONTENT
Hyun Lim, Chungeun Kim, Erhan Ekmekcioglu, Safak Dogan, Andrew Hill, University of Surrey, United Kingdom; Ahmet Kondoz, Loughborough University, United Kingdom; Xiyu Shi, University of Surrey, United Kingdom
11:50 SS16.5—TOWARDS A FREE VIEWPOINT AND A 3D INTENSITY ADJUSTMENT ON MULTI-VIEW DISPLAY
Didier Doyen, Sylvain Thiébaud, Technicolor, France
12:10 SS16.6—ANALYSIS AND OPTIMIZATION OF PIXEL
USAGE OF LIGHT-FIELD CONVERSION FROM MULTI-CAMERA SETUPS TO 3D
LIGHT-FIELD DISPLAYS
Peter Tamas Kovacs, Kristof Lackner, Attila Barsi, Vamsi Kiran Adhikarla, Holografika, Hungary; Robert Bregovic, Atanas Gotchev, Tampere University of Technology, Finland
ARS-P1: Motion Estimation
Tuesday 10:30–12:30; Poster Session; Poster Area A
ARS-P1.1—CARDIAC MOTION ANALYSIS USING WAVELET PROJECTIONS FROM TAGGED MR SEQUENCES
Younes Farouj, Liang Wang, Patrick Clarysse, University of Lyon, France; Laurent Navarro, ENSM-SE, France; Marianne Clausel, University Joseph Fourier, France; Philippe Delachartre, University of Lyon, France
ARS-P1.2—HYBRID VISUAL AND INERTIAL RANSAC FOR REAL-TIME MOTION ESTIMATION
Manu Alibay, MINES ParisTech & STMicroelectronics, France; Stephane Auberger, STMicroelectronics, France; Bogdan Stanciulescu, Philippe Fuchs, MINES ParisTech, France
ARS-P1.3—PRESERVING ACCURATE MOTION CONTOURS WITH RELIABLE PARAMETER SELECTION
Javier Sánchez, Agustín Salgado, Nelson Monzón, University of Las Palmas de Gran Canaria, Spain
ARS-P1.4—BLOCK MOTION MATCHING ON DIRECTIONAL SUBBANDS WITH INTERBAND SUPPRESSION
Rui Xu, David Taubman, Aous Naman, University of New South Wales, Australia
ARS-P1.5—AGGREGATED MAPPING OF DRIVER ATTENTION FROM MATCHED OPTICAL FLOW
Roland Perko, Michael Schwarz, Lucas Paletta, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria
ARS-P1.6—REAL-TIME MOTION ESTIMATION BASED ON EVENT-BASED VISION SENSOR
Jun Haeng Lee, Kyoobin Lee, Hyunsurk Ryu, Paul-K Park, Chang-Woo Shin, Jooyeon Woo, Junseok Kim, Samsung, Korea
ARS-P1.7—MODELLING THE OPTICAL-FLOW WITH PROJECTIVE-TRANSFORM APPROXIMATION FOR LARGE CAMERA MOVEMENTS
François Le Coat, Université Paris-Sud, France; Edwige Pissaloux, UPMC-Paris 6 University, France
ARS-P1.8—RECOVERY OF MOTION PATTERNS AND DOMINANT PATHS IN VIDEOS OF CROWDED SCENES
Antoine Basset, Inria, France; Patrick Bouthemy, Charles Kervrann, INRIA, France
ARS-P1.9—3-D MOTION ESTIMATION FOR VISUAL SALIENCY MODELING
Pengfei Wan, Hong Kong University of Science and Technology, Hong Kong; Yunlong Feng, The Graduate University Of Advanced Studies, Japan; Gene Cheung, National Institute of Informatics, Japan; Ivan Bajic, Simon Fraser University, Canada; Oscar Au, Hong Kong University of Science and Technology, Hong Kong
ARS-P1.10—A PARTICLE FILTERING APPROACH TO SALIENT VIDEO OBJECT LOCALIZATION
Charles Gray, Stuart James, John Collomosse, University of Surrey, United Kingdom; Paul Asente, Adobe Research, USA
ARS-P2: Face Detection and Recognition
Tuesday 10:30–12:30; Poster Session; Poster Area B
ARS-P2.1—NOVEL PRESENTATION ATTACK DETECTION ALGORITHM FOR FACE RECOGNITION SYSTEM: APPLICATION TO 3D FACE MASK ATTACK
R Raghavendra, Christoph Busch, Gjøvik University College, Norway
ARS-P2.2—DLBP: A NOVEL DESCRIPTOR FOR DEPTH IMAGE BASED FACE RECOGNITION
Amel Aissaoui, Jean Martinet, University of Lille, France; Chabane Djeraba, University of Sciences and Technologies of Lille, France
ARS-P2.3—COUPLED DICTIONARIES FOR THERMAL TO VISIBLE FACE RECOGNITION
Christopher Reale, University of Maryland & US Army Research Laboratory, USA; Nasser Nasrabadi, US Army Research Laboratory, USA; Rama Chellappa, University of Maryland, College Park, USA
ARS-P2.4—PATCH BASED LOCAL PHASE QUANTIZATION OF MONOGENIC COMPONENTS FOR FACE RECOGNITION
Tuan Nguyen, Alice Caplier, Grenoble Institute of Technology, France
ARS-P2.5—PERSON-SPECIFIC DOMAIN ADAPTATION WITH APPLICATIONS TO HETEROGENEOUS FACE RECOGNITION
Yao-Hung Tsai, Hung-Ming Hsu, National Taiwan University, Taiwan; Cheng-An Hou, Yu-Chiang Wang, Academia Sinica, Taiwan
ARS-P2.6—AN IMPROVED RETINAL MODELING FOR ILLUMINATION FACE RECOGNITION
Yong Cheng, Southeast University, P.R. China; Liangbao Jiao, Nanjing Institute of Technology, P.R. China; Zuoyong Li, Minjiang University, P.R. China; Xuehong Cao, Nanjing University of Posts & Telecommunications, P.R. China
ARS-P2.7—LOCAL VECTOR PATTERN IN HIGH-ORDER DERIVATIVE SPACE FOR FACE RECOGNITION
Tsung-Yung Hung, Kuo-Chin Fan, National Central University, Taiwan
ARS-P2.8—TRANSFORM-INVARIANT DICTIONARY LEARNING FOR FACE RECOGNITION
Shu Zhang, Man Zhang, Ran He, Zhenan Sun, Chinese Academy of Sciences, P.R. China
ARS-P2.9—MAKEUP-INSENSITIVE FACE RECOGNITION BY FACIAL DEPTH RECONSTRUCTION AND GABOR FILTER BANK FROM WOMEN’S REAL-WORLD IMAGES
Ali Moeini, Amirkabir University of Technology, Iran; Hossein Moeini, Semnan University, Iran; Karim Faez, Amirkabir University of Technology, Iran
ARS-P2.10—ROBUST BLURRED FACE RECOGNITION USING
SAMPLE-WISE KERNEL ESTIMATION AND RANDOM COMPRESSED MULTI-SCALE LOCAL
BINARY PATTERN HISTOGRAMS
Guangling Sun, Zhi Liu, Shanghai University, P.R. China
ARS-P2.11—DEPTH-BASED FACE RECOGNITION USING LOCAL QUANTIZED PATTERNS ADAPTED FOR RANGE DATA
Tomás Mantecón, Carlos del-Blanco, Fernando Jaureguizar, Narciso García, Universidad Politécnica de Madrid, Spain
ARS-P2.12—LIKELIHOOD-ENHANCED BAYESIAN CONSTRAINED LOCAL MODELS
Pedro Martins, Rui Caseiro, João Henriques, Jorge Batista, University of Coimbra, Portugal
ARS-P2.13—ON USING HOUGH FORESTS FOR ROBUST FACE DETECTION
M. Hassaballah, South Valley University & Faculty of Science, Egypt; Mourad Ahmed, South Valley University, Egypt
ARS-P2.14—ENHANCED OMNIDIRECTIONAL IMAGE UNWRAPPING FOR FACE DETECTION
Yohan Dupuis, CEREMA, France; Arturo Mendoza Quispe, Pontificia Univ. Catolica del Peru, Peru; Pascal Vasseur, Université de Rouen, France; Benjamin Castañeda, Pontificia Univ. Catolica del Peru, Peru; Nicolas Ragot, Ecole Supérieure d’Ingenieurs en Genie Electrique, France
ARS-P2.15—HOG ACTIVE APPEARANCE MODELS
Epameinondas Antonakos, Joan Alabort-i-Medina, Georgios Tzimiropoulos, Stefanos Zafeiriou, Imperial College London, United Kingdom
ARS-P2.16—VIDEO FACE NAMING USING GLOBAL SEQUENCE ALIGNMENT
Zhiqiang Tang, Yifan Zhang, Shuang Qiu, Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, P.R. China
ARS-P2.17—FACE IDENTIFICATION FROM OVERLAID TEXTS USING LOCAL FACE RECURRENT PATTERNS AND CRF MODELS
Gay Paul, Université du Maine, Switzerland; Elie Khoury, IDIAP, Switzerland; Sylvain Meignier, Université du Maine, France; Jean-Marc Odobez, IDIAP, Switzerland; Paul Deleglise, Université du Maine, France
ARS-P2.18—CLEANING UP AFTER A FACE TRACKER: FALSE POSITIVE REMOVAL
Makarand Tapaswi, Karlsruhe Institute of Technology, Germany; Cemal Çörez, Istanbul Technical University, Turkey; Martin Bäuml, Hazim Ekenel, Rainer Stiefelhagen, Karlsruhe Institute of Technology, Germany
ARS-P2.19—FRACTIONAL EIGENFACES
Tiago de Carvalho, Maria Sibaldo, Ing Ren Tsang, George Cavalcanti, Universidade Federal Rural de Pernambuco, Brazil; Ing Jyh Tsang, Alcatel-Lucent, Belgium; Jan Sijbers, University of Antwerp, Belgium
ARS-P2.20—DIRICHLET-TREE DISTRIBUTION ENHANCED RANDOM FORESTS FOR FACIAL FEATURE DETECTION
Yuanyuan Liu, Central China Normal University & Huazhong University of Science and Technology Wenhua College, P.R. China; Jingying Chen, Chunjie Shan, Central China Normal University, P.R. China
ARS-P2.21—SELECTIVE PART MODELS FOR DETECTING PARTIALLY OCCLUDED FACES IN THE WILD
Ahmed EL-Barkouky, Ahmed Shalaby, Ali Mahmoud, Aly Farag, University of Louisville, USA
ARS-P2.22—MULTI-SCALE MULTI-DESCRIPTOR LOCAL BINARY
FEATURES AND EXPONENTIAL DISCRIMINANT ANALYSIS FOR ROBUST FACE
AUTHENTICATION
Abdelmalik Ouamane, Bengherabi Messaoud, Centre de Développement des Technologies Avancées, Algeria; Guessoum Abderrezak, Blida University, Algeria; Abdenour Hadid, University of Oulu, Finland; Mohamed Cheriet, Ecole de Technologie Supérieure, Canada
ARS-P2.23—PHYSIOLOGICALLY-BASED DETECTION OF COMPUTER GENERATED FACES IN VIDEO
Valentina Conotter, Ecaterina Bodnari, Giulia Boato, University of Trento, Italy; Hany Farid, Dartmouth College, USA
ARS-P2.24—A DATA-DRIVEN APPROACH TO CLEANING LARGE FACE DATASETS
Hong-Wei Ng, Stefan Winkler, Advanced Digital Sciences Center (ADSC), Singapore
ARS-P2.25—FACIAL ALIGNMENT BY USING SPARSE INITIALIZATION AND RANDOM FOREST
Chun Fui Liew, Naoto Yokoya, Takehisa Yairi, University of Tokyo, Japan
ARS-P2.26—NULL SPACE CLUSTERING WITH APPLICATIONS TO MOTION SEGMENTATION AND FACE CLUSTERING
Pan Ji, Australian National University, Australia; Yiran Zhong, Australian National University & CSIRO, Australia; Hongdong Li, Australian National University, Australia; Mathieu Salzmann, NICTA, Australia
ARS-P2.27—HEAD-SHOULDER HUMAN CONTOUR ESTIMATION IN STILL IMAGES
Julio Jacques Junior, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil; Claudio Jung, Universidade Federal do Rio Grande do Sul, Brazil; Soraia Musse, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
ARS-P3: Tracking
Tuesday 10:30–12:30; Poster Session; Poster Area C
ARS-P3.1—VISUAL TRACKING BASED ON WEIGHTED SUBSPACE RECONSTRUCTION ERROR
Tao Zhou, Junhao Zhang, Kai Xie, Jie Yang, Shanghai Jiao Tong University, P.R. China; Xiangjian He, University of Technology, Sydney, Australia
ARS-P3.2—3D OBJECT TRACKING VIA BOUNDARY CONSTRAINED REGION-BASED MODEL
Song Zhao, Lingfeng Wang, Wei Sui, Huai-Yu Wu, Chunhong Pan, Chinese Academy of Sciences, P.R. China
ARS-P3.3—CONTOUR TRACKING VIA ON-LINE DISCRIMINATIVE ACTIVE CONTOURS
Peng Lv, Qingjie Zhao, Beijing Institute of Technology, P.R. China; Dongbing Gu, University of Essex, United Kingdom
ARS-P3.4—ROBUST TRACKING VIA WEIGHTED SPATIO-TEMPORAL CONTEXT LEARNING
Jianqiang Xu, Yao Lu, Jinwu Liu, Beijing Institute of Technology, P.R. China
ARS-P3.5—STRUCTURE-AWARE MULTI-OBJECT DISCOVERY FOR WEAKLY SUPERVISED TRACKING
Yuankai Qi, Hongxun Yao, Xiaoshuai Sun, Xin Sun, Yanhao Zhang, Harbin Institute of Technology, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China
ARS-P3.6—A TOOL FOR FAST GROUND TRUTH GENERATION FOR OBJECT DETECTION AND TRACKING FROM VIDEO
Francesco Comaschi, Sander Stuijk, Twan Basten, Henk Corporaal, Eindhoven University of Technology, The Netherlands
ARS-P3.7—ROBUST OBJECT TRACKING VIA ONLINE INFORMATIVE FEATURE SELECTION
Jinwei Yuan, Farokh Bastani, University of Texas at Dallas, USA
ARS-P3.8—CELL TRACKING USING PARTICLE FILTERS WITH IMPLICIT CONVEX SHAPE MODEL IN 4D CONFOCAL MICROSCOPY IMAGES
Nisha Ramesh, Tolga Tasdizen, University of Utah, USA
ARS-P3.9—GREEDY ALGORITHM FOR REAL-TIME MULTI-OBJECT TRACKING
Tae-Ho Kim, Changhoon Lee, Chang Yoo, Korea Advanced Institute of Science and Technology, Korea
ARS-P3.10—OBJECT TRACKING BASED ON ONLINE PARTIAL INSTANCE LEARNING WITH MULTIPLE LOCAL STRONG CLASSIFIERS
Sung-Ho Bae, Munchurl Kim, Korea Advanced Institute of Science and Technology, Korea
ARS-P3.11—DIRECT VISUAL TRACKING UNDER EXTREME ILLUMINATION VARIATIONS USING THE SUM OF CONDITIONAL VARIANCE
Rogério Richa, Mateus de Souza, Universidade Federal de Santa Catarina, Brazil; Glauco Garcia Scandaroli, University of Brasília, Brazil; Eros Comunello, University of Itajaí Valley, Brazil; Aldo von Wangenheim, Universidade Federal de Santa Catarina, Brazil
ARS-P3.12—ONLINE MULTI-PERSON TRACKING VIA ROBUST COLLABORATIVE MODEL
Mohamed Naiel, M. Omair Ahmad, M. N. S. Swamy, Concordia University, Canada; Yi Wu, Ming-Hsuan Yang, University of California at Merced, USA
ARS-P3.13—COLLABORATING FRAMES: TEMPORALLY WEIGHTED SPARSE REPRESENTATION FOR VISUAL TRACKING
Ali Soltani-Farani, Hamid Rabiee, Ali Zarezade, Sharif University of Technology, Iran
ARS-P3.14—A CONDITIONAL RANDOM FIELD MODEL FOR TRACKING IN DENSELY PACKED CELL STRUCTURES
Anirban Chakraborty, Amit Roy-Chowdhury, University of California, Riverside, USA
ARS-P3.15—A TRACK-BEFORE-DETECT ALGORITHM USING JOINT PROBABILISTIC DATA ASSOCIATION FILTER AND INTERACTING MULTIPLE MODELS
Andrea Mazzù, Lucio Marcenaro, Simone Chiappino, Carlo Regazzoni, University of Genoa, Italy
ARS-P3.16—ASSESSING TRACKING ASSESSMENT MEASURES
Tahir Nawaz, Fabio Poiesi, Andrea Cavallaro, Queen Mary, University of London, United Kingdom
ARS-P3.17—INTEGRATING HUMAN CONTEXT AND OCCLUSION REASONING TO IMPROVE HANDHELD OBJECT TRACKING
Daniel Parks, Laurent Itti, University of Southern California, USA
ARS-P3.18—MULTI-LEAF TRACKING FROM FLUORESCENCE PLANT VIDEOS
Xi Yin, Xiaoming Liu, Jin Chen, David Kramer, Michigan State University, USA
ARS-P3.19—MARKERLESS IDENTIFICATION AND TRACKING FOR SCALABLE IMAGE DATABASE
Madjid Maidi, Marius Preda, Yassine Lehiani, Telecom SudParis, France
ARS-P3.20—REAL-TIME OBJECT TRACKING VIA OPTIMAL FEATURE SUBSPACE
Xu Min, Tsinghua University, P.R. China; Yu Zhou, Shu Liu, Xiang Bai, Huazhong University of Science and Technology, P.R. China
ARS-P3.21—ROBUST TRACKING VIA SALIENCY-BASED APPEARANCE MODEL
Bo Luo, Ruimin Hu, Yimin Wang, Chao Liang, Wuhan University, P.R. China; Chunjie Zhang, University of Chinese Academy of Sciences, P.R. China; Ge Gao, Wuhan University, P.R. China
ARS-P3.22—EXEMPLAR-BASED LINEAR DISCRIMINANT ANALYSIS FOR ROBUST OBJECT TRACKING
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang, Huazhong University of Science and Technology, P.R. China
ARS-P3.23—ROBUST OBJECT TRACKING VIA MULTI-TASK DYNAMIC SPARSE MODEL
Zhangjian Ji, Weiqiang Wang, University of Chinese Academy of Sciences, P.R. China
ARS-P3.24—OBJECT SEGMENTATION FROM A DYNAMIC
BACKGROUND USING A PIXELWISE RIGIDITY CRITERION AND APPLICATION TO
MARITIME TARGET RECOGNITION
Ikhlef Bechar, Thibault Lelore, Frederic Bouchara, Vincente Guis, Michel Grimaldi, Toulon University, France
ARS-P3.25—A PARTICLE SWARM OPTIMIZATION INSPIRED TRACKER APPLIED TO VISUAL TRACKING
Christophe Mollaret, Fréderic Lerasle, University of Toulouse, France; Isabelle Ferrané, Julien Pinquier, Paul Sabatier University, France
ARS-P3.26—POINT MATCHING VIA AFFINE REGION EXPANSION
Erez Farhan, Rami Hagege, Ben-Gurion University, Israel
ARS-P3.27—A LOW RESOLUTION MULTI-CAMERA SYSTEM FOR PERSON TRACKING
Mohamed Eldib, Nyan Bo Bo, Francis Deboeverie, Jorge Nino, Junzhi Guan, Samuel Van de Velde, Heidi Steendam, Ghent University, Belgium; Hamid Aghajan, Stanford University, USA; Wilfried Philips, Ghent University, Belgium
ELI-P1: Color and Multispectral Imaging
Tuesday 10:30–12:30; Poster Session; Poster Area E
ELI-P1.1—DEMOSAICKING ALGORITHM FOR THE FUJIFILM X-TRANS COLOR FILTER ARRAY
Mina Rafi Nazari, Eric Dubois, University of Ottawa, Canada
ELI-P1.2—COLOR CORRECTION THROUGH REGION MATCHING LEVERAGED BY POINT CORRESPONDENCES
Dieu-Sang Ly, Serge Beucher, Michel Bilodeau, MINES ParisTech, France
ELI-P1.3—A COLOR MORPHOLOGICAL ORDERING METHOD BASED ON ADDITIVE AND SUBTRACTIVE SPACES
José Luis Vázquez Noguera, Horacio Legal, Christian E. Schaerer, Universidad Nacional de Asunción, Paraguay; Jacques Facon, PUCPR Pontificia Universidade Católica do Paraná, Brazil
ELI-P1.4—MULTISPECTRAL DEMOSAICKING WITH NOVEL GUIDE IMAGE GENERATION AND RESIDUAL INTERPOLATION
Yusuke Monno, Daisuke Kiku, Tokyo Institute of Technology, Japan; Sunao Kikuchi, Olympus R&D Center, Japan; Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan
ELI-P1.5—EXEMPLAR-BASED COLORIZATION IN RGB COLOR SPACE
Pierre Fabien, Jean Francois Aujol, Aurélie Bugeau, Nicolas Papadakis, Université de Bordeaux, France; Vinh-Thong Ta, LaBRI, France
ELI-P1.6—COLOR DISTORTION CORRECTION WITHOUT NOISE BOOST USING MULTI-RESOLUTION ANALYSIS
Byung Kwan Park, Kyung Hoon Bae, SK Telecom, Korea
ELI-P1.7—CAPTURING COLOR AND NEAR-INFRARED IMAGES
WITH DIFFERENT EXPOSURE TIMES FOR IMAGE ENHANCEMENT UNDER EXTREMELY
LOW-LIGHT SCENE
Takuya Mikami, Daisuke Sugimura, Takayuki Hamamoto, Tokyo University of Science, Japan
ELI-P1.8—COMPRESSED HYPERSPECTRAL IMAGE RECOVERY VIA TOTAL VARIATION REGULARIZATION ASSUMING LINEAR MIXING
Duncan Eason, Mark Andrews, University of Auckland, New Zealand
ELI-P1.9—ADAPTIVE SPECTRAL REFLECTANCE RECOVERY USING SPATIO-SPECTRAL SUPPORT FROM HYPERSPECTRAL IMAGES
Zohaib Khan, Faisal Shafait, Ajmal Mian, University of Western Australia, Australia
ELI-P1.10—SPECTRAL UNMIXING OF FLUORESCENCE FINGERPRINT IMAGERY FOR VISUALIZATION OF CONSTITUENTS IN PIE PASTRY
Naoto Yokoya, University of Tokyo, Japan; Mito Kokawa, Junichi Sugiyama, National Agriculture and Food Research Organization, Japan
ELI-P1.11—A MODEL FOR ESTIMATING SPECTRAL PROPERTIES OF WATER FROM RGB IMAGES
Henryk Blasinski, John Breneman, Joyce Farrell, Stanford University, USA
ELI-P1.12—COLORED CODED APERTURES OPTIMIZATION IN COMPRESSIVE SPECTRAL IMAGING BY RESTRICTED ISOMETRY PROPERTY
Henry Arguello Fuentes, Yuri Mejia, Universidad Industrial de Santander, Colombia; Gonzalo Arce, University of Delaware, USA
ELI-P1.13—GAMUT MAPPING WITH IMAGE LAPLACIAN COMMUTATORS
Artiom Kovnatsky, Davide Eynard, Università della Svizzera Italiana, Switzerland; Michael Bronstein, Technion, Israel
ELI-P1.14—IMPROVING THE WHITE PATCH METHOD BY SUBSAMPLING
Nikola Bani?, Sven Lon?ari?, University of Zagreb, Croatia
ELI-P1.15—IMAGE CLASSIFICATION IN NATURAL SCENES: ARE A FEW SELECTIVE SPECTRAL CHANNELS SUFFICIENT?
Jason Holloway, Rice University, USA; Tanu Priya, University of Houston, USA; Ashok Veeraraghavan, Rice University, USA; Saurabh Prasad, University of Houston, USA
ELI-P1.16—GETTING A MORPHOLOGICAL TREE OF SHAPES FOR MULTIVARIATE IMAGES: PATHS, TRAPS, AND PITFALLS
Edwin Carlinet, EPITA Research and Development Laboratory & University of Paris-Est, France; Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France
ELI-P1.17—COLOR AND MULTISPECTRAL TEXTURE CHARACTERIZATION USING PSEUDO-MORPHOLOGICAL TOOLS
Radu-Mihai Coliban, Transilvania University of Brasov, Romania; Mihai Ivanovici, Transilvania University & MIV Imaging Venture, Romania
SMR-P1: Quality Assessment
Tuesday 10:30–12:30; Poster Session; Poster Area D
SMR-P1.1—MYSTERY BEHIND SIMILARITY MEASURES MSE AND SSIM
Gintautas Palubinskas, German Aerospace Center DLR, Germany
SMR-P1.2—NO-REFERENCE PERCEPTUAL BLUR MODEL BASED ON INHERENT SHARPNESS
Seungchul Ryu, Kwang Hoon Sohn, Yonsei University, Korea
SMR-P1.3—AN EFFICIENT COLOR IMAGE QUALITY METRIC WITH LOCAL-TUNED-GLOBAL MODEL
Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, Shanghai Jiao Tong University, P.R. China
SMR-P1.4—QUALITY ASSESSMENT OF POLARIZATION ANALYSIS IMAGES IN FOGGY CONDITIONS
Congli Li, Wenjun Lu, Song Xue, Yongchang Shi, Xiaoning Sun, New Star Research Institute of Applied Technology, P.R. China
SMR-P1.5—A CONSISTENT PIXEL-WISE BLUR MEASURE FOR PARTIALLY BLURRED IMAGES
Xianyong Fang, Feng Shen, Anhui University, P.R. China; Yanwen Guo, Nanjing University, P.R. China; Christian Jacquemin, University Paris 11, France; Jian Zhou, Shanchun Huang, Anhui University, P.R. China
SMR-P1.6—OPTIMIZING FEATURE POOLING AND PREDICTION MODEL OF VQA ALGORITHMS
Kongfeng Zhu, University of Konstanz, Germany; Marcus Barkowsky, Université de Nantes, France; Minmin Shen, Univerisity of Konstanz, Germany; Patrick Le Callet, Université de Nantes, France; Dietmar Saupe, University of Konstanz, Germany
SMR-P1.7—DEEP LEARNING NETWORK FOR BLIND IMAGE QUALITY ASSESSMENT
Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, Shanghai Jiao Tong University, P.R. China
SMR-P1.8—A PARAMETRIC VIDEO QUALITY MODEL BASED ON SOURCE AND NETWORK CHARACTERISTICS
Emin Zerman, Middle East Technical University, Turkey; Baris Konuk, Aselsan Inc., Turkey; Gokce Nur, Kirikkale University, Turkey; Gozde Akar, Middle East Technical University, Turkey
SMR-P1.9—PERCEPTUAL COLOR DIFFERENCE ASSESSMENT USING HISTOGRAM DISTANCE ON HUE HISTOGRAM DESCRIPTOR
Dohyoung Lee, Konstantinos Plataniotis, University of Toronto, Canada
SMR-P1.10—TOWARDS A NEW IMAGE QUALITY METRIC FOR EVALUATING THE EFFECTS OF TILED DISPLAYS
Steven McFadden, Paul Ward, University of Waterloo, Canada
SMR-P1.11—NO-REFERENCE BLUR ASSESSMENT IN NATURAL IMAGES USING FOURIER TRANSFORM AND SPATIAL PYRAMIDS
Eftichia Mavridaki, Vasileios Mezaris, Information Technologies Institute / CERTH, Greece
SMR-P1.12—NO-REFERENCE VIDEO QUALITY ASSESSMENT VIA FEATURE LEARNING
Jingtao Xu, Peng Ye, University of Maryland, College Park, USA; Yong Liu, Beijing University of Posts and Telecommunications, P.R. China; David Doermann, University of Maryland Institute for Advanced Computer Studies, USA
SMR-P1.13—FUSION OF IMPRECISE DATA APPLIED TO IMAGE QUALITY ASSESSMENT
Nadjib Guettari, Anne-Sophie Capelle-Laizé, Philippe Carré, University of Poitiers, France
SMR-P1.14—A REDUCED REFERENCE PERCEPTUAL QUALITY METRIC FOR TEXTURE SYNTHESIS
Srenivas Varadarajan, Lina Karam, Arizona State University, USA
SMR-P1.15—NO-REFERENCE QUALITY ASSESSMENT OF JPEG IMAGES VIA A QUALITY RELEVANCE MAP
S. Alireza Golestaneh, Damon Chandler, Oklahoma State University, USA
SMR-P1.16—IMAGE QUALITY/DISTORTION METRIC BASED ON Α-STABLE MODEL SIMILARITY
Chongwu Tang, Xiaokang Yang, Guangtao Zhai, Shanghai Jiao Tong University, P.R. China
SMR-P1.17—REDUCED-REFERENCE METRIC BASED ON THE QUATERNIONIC WAVELET COEFFICIENTS MODELING BY INFORMATION CRITERIA
Albekaye Traore, Philippe Carré, Christian Olivier, University of Poitiers, France
SMR-P1.18—SYNTHESIS QUALITY PREDICTION MODEL BASED ON DISTORTION INTOLERANCE
Seungchul Ryu, Seungryong Kim, Kwang Hoon Sohn, Yonsei University, Korea
SMR-P1.19—AESTHETIC QUALITY CLASSIFICATION VIA SUBJECT REGION EXTRACTION
Jonghee Kim, Changick Kim, Korea Advanced Institute of Science and Technology, Korea
SMR-P1.20—COMPRESSED IMAGE QUALITY ASSESSMENT: APPLICATION TO AN INTERACTIVE UPPER LIMB RADIOLOGY ATLAS
Yann Gaudeau, Université de Strasbourg, France; Julien Lambert, University of Lorraine, France; Nicolas Labonne, CHU NANCY, France; Jean-Marie Moureaux, Université Henri Poincaré, Nancy 1, France
SMR-P1.21—ASSESSMENT OF VIDEO NATURALNESS USING TIME-FREQUENCY STATISTICS
Anish Mittal, Nokia Research, USA; Michele Saad, Alan Bovik, University of Texas at Austin, USA
SMR-P1.22—A COMPARATIVE STUDY OF COMPUTATIONAL AESTHETICS
Dogancan Temel, Ghassan AlRegib, Georgia Institute of Technology, USA
SMR-P1.23—FINDING YOUR SPOT: A PHOTOGRAPHY SUGGESTION SYSTEM FOR PLACING HUMAN IN THE SCENE
Shuang Ma, State University of New York at Buffalo, USA; Yangyu Fan, Northwestern Polytechnical University, P.R. China; Chang Wen Chen, State University of New York at Buffalo, USA
ARS-L2: Deep Networks
Tuesday 14:00–16:00; Oral Session; Room: Leonard de Vinci
14:00 ARS-L2.1—DA-CCD: A NOVEL ACTION REPRESENTATION BY DEEP ARCHITECTURE OF LOCAL DEPTH FEATURE
Yi Liu, University of Chinese Academy of Sciences, P.R. China; Lei Qin, Chinese Academy of Sciences, P.R. China; Zhongwei Cheng, University of Chinese Academy of Sciences, P.R. China; Yanhao Zhang, Weigang Zhang, Harbin Institute of Technology, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China
14:20 ARS-L2.2—LEARNING DEEP FEATURES FOR MULTIPLE OBJECT TRACKING BY USING A MULTI-TASK LEARNING STRATEGY
Li Wang, Nanyang Technological University, Singapore; Nam Trung Pham, Tian Tsong Ng, Institute for Infocomm Research, A*STAR, Singapore; Wang Gang, Kap Chan, Nanyang Technological University, Singapore; Karianto Leman, Institute for Infocomm Research, A*STAR, Singapore
14:40 ARS-L2.3—AN ENSEMBLE OF DEEP NEURAL NETWORKS FOR OBJECT TRACKING
Xiangzeng Zhou, Lei Xie, Peng Zhang, Yanning Zhang, Northwestern Polytechnical University, P.R. China
15:00 ARS-L2.4—SEMI-SUPERVISED DEEP LEARNING FOR OBJECT TRACKING AND CLASSIFICATION
Nikolaos Doulamis, Anastasios D. Doulamis, National Technical University of Athens, Greece
15:20 ARS-L2.5—HAND POSTURE RECOGNITION BASED ON
BOTTOM-UP STRUCTURED DEEP CONVOLUTIONAL NEURAL NETWORK WITH CURRICULUM
LEARNING
Takayoshi Yamashita, Chubu University, Japan; Taro Watasue, Tome R&D, Japan
15:40 ARS-L2.6—DEEP CONVOLUTIONAL NEURAL NETWORK BASED IMAGE CLASSIFICATION FOR WILD ANIMAL MONITORING
Guobin Chen, Tony Han, Zhihai He, University of Missouri, USA; Roland Kays, Tavis Forrester, North Carolina State University, USA
ARS-L3: Face Recognition
Tuesday 14:00–16:00; Oral Session; Room: Ampere 5+6
14:00 ARS-L3.1—LOCAL STRUCTURE BASED SPARSE REPRESENTATION FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
Fan Liu, Jinhui Tang, Yan Song, Xinguang Xiang, Zhenmin Tang, Nanjing University of Science and Technology, P.R. China
14:20 ARS-L3.2—EXTENDED LOCAL BINARY PATTERN FUSION FOR FACE RECOGNITION
Li Liu, National University of Defense Technology, P.R. China; Paul Fieguth, University of Waterloo, Canada; Guoying Zhao, Matti Pietikäinen, University of Oulu, Finland
14:40 ARS-L3.3—IS BLOCK-MATCHING AN ALTERNATIVE TOOL TO LBP FOR FACE RECOGNITION?
Yang Zhong, Haibo Li, Royal Institute of Technology, Sweden
15:00 ARS-L3.4—3D ASSISTED FACE RECOGNITION VIA PROGRESSIVE POSE ESTIMATION
Wuming Zhang, Ecole Centrale de Lyon, France; Di Huang, IRIP Laboratory, Beihang University, P.R. China; Dimitris Samaras, SUNY at Stony Brook, USA; Jean-Marie Morvan, Universite Claude Bernard, France; Yunhong Wang, Beihang University, P.R. China; Liming Chen, Ecole Centrale de Lyon, France
15:20 ARS-L3.5—DICTIONARY-BASED VIDEO FACE RECOGNITION USING DENSE MULTI-SCALE FACIAL LANDMARK FEATURES
Jun-Cheng Chen, Vishal Patel, Huy Tho Ho, Rama Chellappa, University of Maryland, College Park, USA
15:40 ARS-L3.6—SCENARIO ORIENTED DISCRIMINANT ANALYSIS FOR STILL-TO-VIDEO FACE RECOGNITION
Xue Chen, Chunheng Wang, Baihua Xiao, Xinyuan Cai, Institute of Automation, Chinese Academy of Sciences, P.R. China
TEC-L2: Image Denoising
Tuesday 14:00–16:00; Oral Session; Room: Dickens 3+4
14:00 TEC-L2.1—LEARNING OVERCOMPLETE SPARSIFYING TRANSFORMS WITH BLOCK COSPARSITY
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler, University of Illinois at Urbana-Champaign, USA
14:20 TEC-L2.2—IMAGE DENOISING THROUGH MULTI-SCALE LEARNT DICTIONARIES
Jeremias Sulam, Boaz Ophir, Michael Elad, Technion, Israel
14:40 TEC-L2.3—NON-LOCAL DUAL IMAGE DENOISING
Nicola Pierazzo, Marc Lebrun, Ecole Normale Supérieure de Cachan, France; Martin Rais, Universitat de les Illes Balears, France; Jean-Michel Morel, Gabriele Facciolo, Ecole Normale Supérieure de Cachan, France
15:00 TEC-L2.4—GLOBAL DENOISING IS ASYMPTOTICALLY OPTIMAL
Hossein Talebi, Peyman Milanfar, University of California, Santa Cruz, USA
15:20 TEC-L2.5—AN EFFECTIVE EXAMPLE-BASED LEARNING
METHOD FOR DENOISING OF MEDICAL IMAGES CORRUPTED BY HEAVY GAUSSIAN NOISE
AND POISSON NOISE
Dinh Hoan Trinh, Vietnam Academy of Science and Technology, Vietnam; Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, Université Paris 13, France; Canh-Duong Pham, Vietnam Academy of Science and Technology, Vietnam; Nguyen Linh-Trung, Vietnam National University, Hanoi, Vietnam; Truong Nguyen, University of California, San Diego, USA
15:40 TEC-L2.6—DEPTH MAP DENOISING USING COLLABORATIVE GRAPH WAVELET SHRINKAGE ON CONNECTED IMAGE PATCHES
Yuki Iizuka, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
SS19: Image Processing for the Detection of Road-Surface Degradations
Tuesday 14:00–16:00; Oral Session; Room: Dickens 1+2
Session Chair: Henrique Oliveira, Instituto de Telecomunicações
14:00 SS19.1—IMPLEMENTATION OF AUTOMATIC CRACK EVALUATION USING CRACK FUNDAMENTAL ELEMENT
Yichang James Tsai, Chenglong Jiang, Zhaohua Wang, Georgia Institute of Technology, USA
14:20 SS19.2—ENHANCED AUTOMATIC DETECTION OF ROAD SURFACE CRACKS BY COMBINING 2D/3D IMAGE PROCESSING TECHNIQUES
Roberto Medina Aparicio, José Llamas, CARTIF Foundation, Spain; Eduardo Zalama, Jaime Gómez-García-Bermejo, Universidad de Valladolid, Spain
14:40 SS19.3—2D IMAGE BASED ROAD PAVEMENT CRACK DETECTION BY CALCULATING MINIMAL PATH AND DYNAMIC PROGRAMMING
Manuel Avila, Stéphane Begot, Florent Duculty, University of Orleans, France; Tien Sy Nguyen, Vectra, France
15:00 SS19.4—A NEW MINIMAL PATH SELECTION ALGORITHM FOR AUTOMATIC CRACK DETECTION ON PAVEMENT IMAGES
Rabih Amhaz, Université Nantes Angers le Mans (UNAM) & Institut National Polytechnique de Toulouse, France; Sylvie Chambon, University of Toulouse, France; Jérôme Idier, IRCCyN, France; Vincent Baltazart, Laboratoire Central des Ponts et Chaussées, France
15:20 SS19.5—PAVEMENT PATHOLOGIES CLASSIFICATION USING GRAPH-BASED FEATURES
Kelwin Fernandes, Lucian Ciobanu, INESC TEC, Portugal
15:40 SS19.6—CRACKIT – AN IMAGE PROCESSING TOOLBOX FOR CRACK DETECTION AND CHARACTERIZATION
Henrique Oliveira, Instituto de Telecomunicações & Instituto Politécnico de Beja, Portugal; Paulo Correia, Instituto Superior Tecnico – Universidade Tecnica Lisboa & Instituto de Telecomunicacoes, Portugal
SS5: Hyperspectral Image Processing
Tuesday 14:00–16:00; Oral Session; Room: Ampere 1+3
Session Chairs: Jocelyn Chanussot, Grenoble Institute of Technology; Saurabh Prasad, University of Houston
14:00 SS5.1—COMPRESSIVE PUSHBROOM AND WHISKBROOM SENSING FOR HYPERSPECTRAL REMOTE-SENSING IMAGING
James Fowler, Mississippi State University, USA
14:20 SS5.2—GRAPH MBO METHOD FOR MULTICLASS SEGMENTATION OF HYPERSPECTRAL STAND-OFF DETECTION VIDEO
Ekaterina Merkurjev, University of California, Los Angeles, USA; Justin Sunu, California State University at Long Beach, USA; Andrea Bertozzi, University of California, Los Angeles, USA
14:40 SS5.3—HYPERSPECTRAL UNMIXING USING AN ACTIVE SET ALGORITHM
Rob Heylen, Paul Scheunders, iMinds-Visionlab, University of Antwerp, Belgium
15:00 SS5.4—BAYESIAN FUSION OF MULTISPECTRAL AND HYPERSPECTRAL IMAGES WITH UNKNOWN SENSOR SPECTRAL RESPONSE
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France
15:20 SS5.5—HYPERSPECTRAL SUPER-RESOLUTION OF LOCALLY LOW RANK IMAGES FROM COMPLEMENTARY MULTISOURCE DATA
Miguel Veganzones, Grenoble Institute of Technology, France; Miguel Simões, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal; Giorgio Licciardi, Grenoble Institute of Technology, Italy; Jose Bioucas, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal; Jocelyn Chanussot, Grenoble Institute of Technology, France
15:40 SS5.6—TOWARD A FULL-BAND TEXTURE FEATURES FOR SPECTRAL IMAGES
Audrey Ledoux, Noël Richard, Anne-Sophie Capelle-Laizé, Hilda Deborah, Christine Fernandez-Maloigne, Université de Poitiers, France
SS8: Quality of Experience in 3D Multimedia Systems
Tuesday 14:00–16:00; Oral Session; Room: Ampere 7+8
Session Chairs: Janko Calic, Surrey University; Patrick Le Callet, Polytechnique Nantes
14:00 SS8.1—CROWD-BASED QUALITY ASSESSMENT OF MULTIVIEW VIDEO PLUS DEPTH CODING
Philippe Hanhart, Pavel Korshunov, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland
14:20 SS8.2—QUALITY OF INTERACTION EXPERIENCE IN STEREOSCOPIC 3D TV
Haiyue Yuan, Janko Calic, Ahmet Kondoz, University of Surrey, United Kingdom
14:40 SS8.3—EXPLORING THE EFFECTS OF 3D VISUAL DISCOMFORT ON VIEWERS’ EMOTIONS
Miguel Barreda-Ángeles, Barcelona Media Foundation, Spain; Romuald Pépion, Emilie Bosc, Patrick Le Callet, Université de Nantes, France; Alexandre Pereda Baños, Barcelona Media Foundation, Spain
15:00 SS8.4—DEEP LEARNING FOR OBJECTIVE QUALITY ASSESSMENT OF 3D IMAGES
Decebal Constantin Mocanu, George Exarchakos, Antonio Liotta, Eindhoven University of Technology, The Netherlands
15:20 SS8.5—NO-REFERENCE LIGHTWEIGHT ESTIMATION OF 3D VIDEO OBJECTIVE QUALITY
Joao Soares, Luís Cruz, Instituto de Telecomunicacoes / University of Coimbra, Portugal; Pedro Assunção, Instituto de Telecomunicações, Portugal; Rui Neto Marinheiro, Instituto Universitário de Lisboa, Instituto de Telecomunicações, Portugal
15:40 SS8.6—MEASUREMENT OF PERCEIVED SPATIAL RESOLUTION IN 3D LIGHT-FIELD DISPLAYS
Peter Tamas Kovacs, Kristof Lackner, Attila Barsi, Akos Balazs, Holografika, Hungary; Atanas Boev, Robert Bregovic, Atanas Gotchev, Tampere University of Technology, Finland
ARS-P4: Scene Analysis
Tuesday 14:00–16:00; Poster Session; Poster Area B
ARS-P4.1—TRAJECTORY CLUSTERING FOR MOTION PATTERN EXTRACTION IN AERIAL VIDEOS
Tahir Nawaz, Andrea Cavallaro, Queen Mary, University of London, United Kingdom; Bernhard Rinner, Alpen Adria Universitat Klagenfurt, Austria
ARS-P4.2—SCENE TEXT RECOGNITION USING SPARSE CODING BASED FEATURES
Dong Zhang, Da-Han Wang, Hanzi Wang, Xiamen University, P.R. China
ARS-P4.3—GEOMETRY-CONSTRAINED SPATIAL PYRAMID ADAPTATION FOR IMAGE CLASSIFICATION
H. Emrah Tasli, University of Amsterdam & Vicarious Perception Technologies, The Netherlands; Ronan Sicre, University of Caen, France; Theo Gevers, University of Amsterdam, The Netherlands; Aydin Alatan, Middle East Technical University, Turkey
ARS-P4.4—CLASSIFICATION OF 2D AND 3D IMAGES USING PYRAMID SCALE DECISION VOTING
Tsampikos Kounalakis, Brunel University & TEI Crete, Greece; Nikolaos Boulgouris, Brunel University, United Kingdom
ARS-P4.5—INTERSECTING 2D LINES: A SIMPLE METHOD FOR DETECTING VANISHING POINTS
Mariano Tepper, Guillermo Sapiro, Duke University, USA
ARS-P4.6—ROBUST REAR-VIEW GROUND SURFACE DETECTION WITH HIDDEN STATE CONDITIONAL RANDOM FIELD AND CONFIDENCE PROPAGATION
Zhiding Yu, Carnegie Mellon University, USA; Wende Zhang, General Motors Company, USA; B. V. K. Vijaya Kumar, Carnegie Mellon University, USA
ARS-P4.7—IMAGE-BASED FLOOR DETECTION FOR INDOOR SCENE ANALYSIS
Jaeho Lee, Jiwon Choi, Nakyoung O, Changick Kim, Korea Advanced Institute of Science and Technology, Korea
ARS-P4.8—MONOCULAR ALBEDO RECONSTRUCTION
Lorenz Rogge, Pablo Bauszat, Marcus Magnor, Technische Universität Braunschweig, Germany
ARS-P4.9—TRUNCATED ISOTROPIC PRINCIPAL COMPONENT CLASSIFIER FOR IMAGE CLASSIFICATION
Alessandro Rozza, Hyera Software, Italy; Giuseppe Serra, Costantino Grana, Università degli Studi di Modena e Reggio Emilia, Italy
ARS-P4.10—A NOVEL AND EFFECTIVE METHOD FOR SPECULAR DETECTION AND REMOVAL BY TENSOR VOTING
Nguyen Tam, Nhat Vo, Soo Hyung Kim, Hyung-Jeong Yang, Gueesang Lee, Chonnam National University, Korea
ARS-P4.11—SELF-LOCALIZATION ON TEXTURE STATISTICS
Sven Eberhardt, Christoph Zetzsche, University of Bremen, Germany
ARS-P4.12—COARSE INDOOR LOCALIZATION USING SPACE-TIME AND SEMANTIC-CONTEXT REPRESENTATIONS OF GEO-REFERENCED VIDEO SEQUENCES
Jassem Mansouri, Institut Pascal, France; Bassem Seddik, SAGE ENISo & ISET Kairouan, Tunisia; Sami Gazzah, University of Sousse, Tunisia; Thierry Chateau, Institut Pascal, France
ARS-P4.13—SEMANTIC SEGMENTATION AS IMAGE REPRESENTATION FOR SCENE RECOGNITION
Ahmed Bassiouny, The American University in Cairo & Microsoft Advanced Technology Labs Cairo, Egypt; Motaz El-Saban, Microsoft Research – Cairo Innovation Lab, Egypt
ARS-P4.14—DETECTION OF DYNAMIC OBJECTS FOR ENVIRONMENT MAPPING BY TIME-OF-FLIGHT CAMERAS
Yosef Dalbah, Audi Electronics Venture GmbH, Germany; Stephan Rohr, University of Kaiserslautern, Germany; Friedrich M. Wahl, Technical University of Braunschweig, Germany
ARS-P4.15—VIDEO BACKGROUND MODELING UNDER IMPULSE NOISE
Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, USA
ARS-P4.16—LINE-BASED GLOBAL DESCRIPTOR FOR OMNIDIRECTIONAL VISION
Alejandro Rituerto, Ana Murillo, Universidad de Zaragoza, Spain; Jose Jesus Guerrero, University of Zaragoza, Spain
ARS-P4.17—AFFINE-INVARIANT SCENE CATEGORIZATION
Xue Wei, Son Lam Phung, Abdesselam Bouzerdoum, University of Wollongong, Australia
ARS-P4.18—VANISHING POINT ESTIMATION FOR CHALLENGING ROAD IMAGES
Qingyun She, Zongqing Lu, Qingmin Liao, Tsinghua University, P.R. China
ARS-P4.19—ANALYZING SEDENTARY BEHAVIOR IN LIFE-LOGGING IMAGES
Mohammad Moghimi Najafabadi, Wanmin Wu, University of California, San Diego, USA; Jacqueline Chen, Medical College of Wisconsin, USA; Suneeta Godbole, Simon Marshall, Jacqueline Kerr, University of California, San Diego, USA; Serge Belongie, Cornell University, USA
ARS-P4.20—SUM-MAX VIDEO POOLING FOR COMPLEX EVENT RECOGNITION
Sang Phan, Duy-Dinh Le, Shin’ichi Satoh, National Institute of Informatics, Japan
ARS-P4.21—NOVEL FRAMEWORK FOR SPORTS VIDEO ANALYSIS: A BASKETBALL CASE STUDY
Chun-Min Chen, Ling-Hwei Chen, National Chiao Tung University, Taiwan
ARS-P4.22—GENRE CATEGORIZATION OF AMATEUR SPORTS VIDEOS IN THE WILD
Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa, Michigan State University, USA
ARS-P4.23—IT’S ALL ABOUT HABITS: EXPLOITING MULTI-TASK CLUSTERING FOR ACTIVITIES OF DAILY LIVING ANALYSIS
Yan Yan, University of Trento, Italy; Elisa Ricci, University of Perugia, Italy; Negar Rostamzadeh, Nicu Sebe, University of Trento, Italy
ARS-P4.24—MULTI-LEVEL SCENE UNDERSTANDING VIA HIERARCHICAL CLASSIFICATION
Hamilton Clouse, Xiao Bian, Thanos Gentimis, Hamid Krim, North Carolina State University, USA
ARS-P4.25—POSELET-BASED MULTIPLE HUMAN IDENTIFICATION AND COSEGMENTATION
Hongyuan Zhu, Nanyang Technological University, Singapore; Jiangbo Lu, ADSC, France; Jianfei Cai, Jianmin Zheng, Nanyang Technological University, Singapore; Nadia Thalmann, Institute for Media Innovation, Singapore
ELI-P2: Hardware and Software Image-Processing Systems
Tuesday 14:00–16:00; Poster Session; Poster Area D
ELI-P2.1—FAST SAO ESTIMATION ALGORITHM AND ITS VLSI ARCHITECTURE
Jiayi Zhu, Dajiang Zhou, Shinji Kimura, Satoshi Goto, Waseda University, Japan
ELI-P2.2—HIGH-THROUGHPUT MQ CODER ARCHITECTURE BASED ON DEPENDENCE EXTRACTION METHOD
Haiheng Cao, Beihang University, P.R. China; Yongfei Zhang, Beihang University & University of Missouri, P.R. China; Hongxu Jiang, Beihang University, P.R. China
ELI-P2.3—VLSI ARCHITECTURE OF HEVC INTRA PREDICTION FOR 8K UHDTV APPLICATIONS
Jianbin Zhou, Dajiang Zhou, Heming Sun, Satoshi Goto, Waseda University, Japan
ELI-P2.4—A SCALABLE ARCHITECTURE FOR IMPLEMENTING THE FAST DISCRETE PERIODIC RADON TRANSFORM FOR PRIME SIZED IMAGES
Cesar Carranza, Daniel Llamocca, Marios Pattichis, University of New Mexico, USA
ELI-P2.5—HIGH SPEED SAD ARCHITECTURES FOR VARIABLE BLOCK SIZE MOTION ESTIMATION IN HEVC VIDEO CODING
Purnachand Nalluri, Luis Alves, Antonio Navarro, University of Aveiro, Portugal
ELI-P2.6—A HIGH SPEED CONFIGURABLE FPGA ARCHITECTURE FOR BILATERAL FILTERING
Jithin Sankar Sankaran Kutty, Farid Boussaid, University of Western Australia, Australia; Abbes Amira, University of the West of Scotland, United Kingdom
ELI-P2.7—A 610 MBIN/S CABAC DECODER FOR H.265/HEVC LEVEL 6.1 APPLICATIONS
Yijin Zhao, Jinjia Zhou, Dajiang Zhou, Satoshi Goto, Waseda University, Japan
ELI-P2.8—RECONFIGURABLE DATA FLOW ENGINE FOR HEVC MOTION ESTIMATION
Thomas D’huys, INESC-ID/IST, Technical University of Lisbon, Portugal; Svetislav Momcilovic, INESC-ID/UTLisbon, Portugal; Frederico Pratas, INESC-ID, Spain; Leonel Sousa, INESC-ID / IST, Technical University of Lisbon, Portugal
ELI-P2.9—HARDWARE ARCHITECTURE OF THE FAST MODE DECISION ALGORITHM FOR H.265/HEVC
Wenjun Zhao, Takao Onoye, Osaka University, Japan; Tian Song, University of Tokushima & Synthesis, Japan
ELI-P2.10—CORDIC BASED FAST RADIX-2 DCT ALGORITHM
Hai Huang, Liyi Xiao, Harbin Institute of Technology, P.R. China
ELI-P2.11—COLLABORATIVE INTER-PREDICTION ON CPU+GPU SYSTEMS
Svetislav Momcilovic, INESC-ID/UTLisbon, Portugal; Aleksandar Ilic, INESC-ID & IST, Universidade de Lisboa, Portugal; Nuno Roma, INESC-ID, IST, University of Lisbon, Portugal; Leonel Sousa, INESC-ID / IST, Technical University of Lisbon, Portugal
ELI-P2.12—POWER EFFICIENT AND WORKLOAD BALANCED TILING FOR PARALLELIZED HIGH EFFICIENCY VIDEO CODING
Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel, Karlsruhe Institute of Technology, Germany
ELI-P2.13—AN SMPUMHEXAGONS-BASED MOTION ESTIMATION ALGORITHM FOR HETEROGENEOUS ARCHITECTURES
Álvaro García Real, University of Castilla-La Mancha, Spain; Rafael Rodríguez-Sánchez, Universitat Jaume I, Spain; Jose Luis Martinez, University of Castilla-La Mancha, Spain
ELI-P2.14—OPENCL BASED HIGH-QUALITY HEVC MOTION ESTIMATION ON GPU
Fan Wang, Dajiang Zhou, Satoshi Goto, Waseda University, Japan
ELI-P2.15—A PARALLEL TRUE MOTION ESTIMATION METHOD BASED ON BINARIZED CROSS CORRELATION
Francesco Michielin, Giancarlo Calvagno, University of Padova, Italy; Piergiorgio Sartor, Thimo Emmerich, Christian Unruh, Oliver Erdler, Sony Deutschland GmbH, Germany
ELI-P2.16—A FAST MIXED-BAND LIFTING WAVELET TRANSFORM ON THE GPU
Tran Minh Quan, Won-Ki Jeong, Ulsan National Institute of Science and Technology (UNIST), Korea
ELI-P2.17—A HIGHLY PARALLELIZED H.265/HEVC REAL-TIME UHD SOFTWARE ENCODER
Tse Kai Heng, Wataru Asano, Takayuki Itoh, Toshiba, Japan; Akiyuki Tanizawa, Toshiba Corporation, Japan; Jun Yamaguchi, Takuya Matsuo, Tomoya Kodama, Toshiba, Japan
ELI-P2.18—A SENSOR AIDED H.264 ENCODER TESTED ON AERIAL IMAGERY FOR SFM
Cesario Vincenzo Angelino, CIRA, Italy; Luca Cicala, CIRA – the Italian Center for Aerospace Research, Italy; Giuseppe Persechino, CIRA, Italy; Enrico Baccaglini, Marco Gavelli, Nadir Raimondo, Istituto Superiore Mario Boella, Italy
ELI-P2.19—ENERGY CONSUMPTION ANALYSIS AND MODELLING OF A H.264/AVC INTRA-ONLY BASED ENCODER DEDICATED TO WVSNS
Othmane Alaoui-Fdili, LRIT-CNRST URAC29, Mohammed V-Agdal University. Morocco & IEMN UMR 8520, DOAE, UVHC. France, Morocco; Fakhri Youssef, Universite Ibn Tofail Faculty of Sciences, Morocco; Patrick Corlay, François-Xavier Coudoux, University of Valenciennes, France; Driss Aboutajdine, CNRST & LRIT Mohammed V-agdal University, Morocco
ELI-P2.20—A LOW ENERGY HEVC SUB-PIXEL INTERPOLATION HARDWARE
Ercan Kalali, Ilker Hamzaoglu, Sabanci University, Turkey
SMR-P2: Visual Saliency
Tuesday 14:00–16:00; Poster Session; Poster Area C
SMR-P2.1—VISUAL SALIENCY DETECTION USING FEATURE ACTIVITY WEIGHTED DECORRELATION CUES
Shengxiang Qi, Jin-Gang Yu, Ji Zhao, Jie Ma, Jinwen Tian, Huazhong University of Science and Technology, P.R. China
SMR-P2.2—VIDEO SALIENCY DETECTION BASED ON SPATIOTEMPORAL FEATURE LEARNING
Se-Ho Lee, Jin-Hwan Kim, Korea University, Korea; Kwang Pyo Choi, Samsung Electronics, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea
SMR-P2.3—A PRIOR-BASED GRAPH FOR SALIENT OBJECT DETECTION
Jinxia Zhang, Nanjing University of Science and Technology / Brigham and Women’s Hospital, USA; Krista Ehinger, Brigham and Women’s Hospital & Harvard Medical School, USA; Jundi Ding, Jingyu Yang, Nanjing University of Science and Technology, P.R. China
SMR-P2.4—COMPARISON OF VISUAL SALIENCY MODELS FOR COMPRESSED VIDEO
Sayed Hossein Khatoonabadi, Ivan Bajic, Simon Fraser University, Canada; Yufeng Shan, Cisco Systems, USA
SMR-P2.5—A SCALABLE AND EFFICIENT METHOD FOR SALIENT REGION DETECTION USING SAMPLED TEMPLATE COLLATION
Andreas Holzbach, Gordon Cheng, Technische Universität München, Germany
SMR-P2.6—LEARNING VISUAL SALIENCY USING TOPOGRAPHIC INDEPENDENT COMPONENT ANALYSIS
Daria Stefic, Ioannis Patras, Queen Mary, University of London, United Kingdom
SMR-P2.7—INFLUENCE OF COLOR ON VISUAL SALIENCY IN SHORT VIDEOS
Irina Ciortan, Eric Dinet, Alain Trémeau, University Jean Monnet, France
SMR-P2.8—SPATIO-TEMPORAL ANALYSIS OF EYE FIXATIONS DATA IN IMAGES
Puneet Sharma, Norwegian University of Science and Technology (NTNU), Norway; Faouzi Alaya Cheikh, Gjovik University College, Norway; Jon Hardeberg, Gjøvik University College, Norway
SMR-P2.9—SALIENT REGION DETECTION USING BACKGROUND CONTRAST
Yanbang Zhang, Junwei Han, Lei Guo, Northwestern Polytechnical University, P.R. China
SMR-P2.10—EXPLORING COVERT ATTENTION FOR GENERIC BOOSTING OF SALIENCY MODELS
Xiaoshuai Sun, Hongxun Yao, Harbin Institute of Technology, P.R. China
SMR-P2.11—HOW DOES DISTORTION AFFECT SALIENCY APPLIED TO IMAGE QUALITY ASSESSMENT?
Qing Wang, Lin Xu, Qiang Chen, Quansen Sun, Nanjing University of Science and Technology, P.R. China
SMR-P2.12—AN AUDIOVISUAL ATTENTION MODEL FOR NATURAL CONVERSATION SCENES
Antoine Coutrot, Nathalie Guyader, CNRS – Grenoble-Alpes University, France
SMR-P2.13—A PSYCHOPHYSICAL EVALUATION OF THE A CONTRARIO DETECTION THEORY
Samy Blusseau, Ecole Normale Supérieure de Cachan, France; Alejandra Carboni, Alejandro Maiche, CIBPsi, Universidad de la República, Uruguay; Jean-Michel Morel, Rafael Grompone von Gioi, Ecole Normale Supérieure de Cachan, France
SMR-P2.14—ANALYSIS OF IMAGE INFORMATIVENESS MEASURES
Marius Vila, Anton Bardera, Miquel Feixas, University of Girona, Spain; Philippe Bekaert, Hasselt University, Belgium; Mateu Sbert, Institut d’Informatica i Aplicacions, Spain
SMR-P2.15—DEPTH SALIENCY BASED ON ANISOTROPIC CENTER-SURROUND DIFFERENCE
Ran Ju, Ling Ge, Wenjing Geng, Tongwei Ren, Gangshan Wu, Nanjing University, P.R. China
SMR-P2.16—SEMIAUTOMATIC VISUAL-ATTENTION MODELING AND ITS APPLICATION TO VIDEO COMPRESSION
Yury Gitman, Mikhail Erofeev, Dmitriy Vatolin, Lomonosov Moscow State University, Russia; Andrey Bolshakov, IITP RAS & Stankin Moscow State Technological University, Russia; Alexey Fedorov, Lomonosov Moscow State University, Russia
SMR-P2.17—SALIENT OBJECT DETECTION USING BIPARTITE DICTIONARY
Yuna Seo, Donghoon Lee, Chang Yoo, Korea Advanced Institute of Science and Technology, Korea
SMR-P2.18—SALIENT REGION DETECTION VIA COLOR SPATIAL DISTRIBUTION DETERMINED GLOBAL CONTRASTS
Xiaoyun Yan, Yuehuan Wang, Man Jiang, Jun Wang, Huazhong University of Science and Technology, P.R. China
SMR-P2.19—GMM-BASED SALIENCY AGGREGATION FOR CALIBRATION-FREE GAZE ESTIMATION
Jinsoo Choi, Byungtae Ahn, Jaesik Park, In So Kweon, Korea Advanced Institute of Science and Technology, Korea
SMR-P2.20—FOREGROUND OBJECT DETECTION IN HIGHLY DYNAMIC SCENES USING SALIENCY
Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas Huang, University of Illinois at Urbana-Champaign, USA
SMR-P2.21—IMAGE SEAM CARVING USING DEPTH ASSISTED SALIENCY MAP
Fahime Shafieyan, Nader Karimi, Mirmahboub Behzad, Shadrokh Samavi, Isfahan University of Technology, Iran; Shahram Shirani, McMaster University, Canada
SMR-P2.22—SALIENCY DETECTION USING SUPERPIXEL BELIEF PROPAGATION
Soo-Chang Pei, Wen-Wen Chang, National Taiwan University, Taiwan; Chih-Tsung Shen, National Taiwan University & Academia Sinica, Taiwan
TEC-P1: Segmentation of Medical and Biomedical Images
Tuesday 14:00–16:00; Poster Session; Poster Area A
TEC-P1.1—A MUTUAL REFERENCE SHAPE BASED ON INFORMATION THEORY
Stéphanie Jehan-Besson, CNRS GREYC UMR 6072 & Laboratory GREYC, France; Christophe Tilmant, CNRS UMR 6602 Université Blaise Pascal Institut Pascal, France; Alain de Cesare, Sorbonne Universités UPMC Paris 06 CNRS INSERM, France; Alain Lalande, Alexandre Cochet, CNRS UMR 6306 Université Bourgogne Le2I, France; Jean Cousty, Université Paris-Est, France; Jessica Lebenberg, Muriel Lefort, Sorbonne Universités UPMC Paris 06 CNRS INSERM LIB, France; Patrick Clarysse, University of Lyon, France; Régis Clouard, CNRS UMR 6072 GREYC ENSICAEN Université de Caen, France; Laurent Najman, Université Paris-Est, France; Laurent Sarry, Faculté de Médecine, France; Frédérique Frouin, Sorbonne Universités UPMC Paris 06 CNRS INSERM LIB, France; Mireille Garreau, Inserm U1099 Université de Rennes 1 LTSI, France
TEC-P1.2—ACTIVE CONTOURS BASED ON WEIGHTED GRADIENT VECTOR FLOW AND BALLOON FORCES FOR MEDICAL IMAGE SEGMENTATION
Alaa Khadidos, Victor Sanchez, Chang-Tsun Li, University of Warwick, United Kingdom
TEC-P1.3—A NON-LOCAL CHAN-VESE MODEL FOR SPARSE, TUBULAR OBJECT SEGMENTATION
Anna Jezierska, Université Paris-Est, Poland; Olivia Miraucourt, Université de Reims Champagne-Ardenne, France; Hugues Talbot, Université Paris-Est, France; Stéphanie Salmon, Nicolas Passat, Université de Reims Champagne-Ardenne, France
TEC-P1.4—NEW DATA MODEL FOR GRAPH-CUT SEGMENTATION: APPLICATION TO AUTOMATIC MELANOMA DELINEATION
Razmig Kechichian, Grenoble INP & GIPSA-lab, France; Hao Gong, The Third Research Institute of Ministry of Public Security & Center of Internet of Things, P.R. China; Marinette Revenu, ENSICAEN (Ecole Supérieure d’Ingénieurs de Caen), USA; Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France; Michel Desvignes, GRENOBLE-INP, France
TEC-P1.5—ON RETINAL BLOOD VESSEL EXTRACTION USING CURVELET TRANSFORM AND DIFFERENTIAL EVOLUTION BASED MAXIMUM FUZZY ENTROPY
Sudeshna Sil Kar, Indian Institute of Engineering Science and Technology, Shibpur, India; Santi Maity, Bengal Engineering & Science University, Shibpur, India; Claude Delpha, Universite Paris Sud – L2S, France
TEC-P1.6—A ROBUST CONVERGENCE INDEX FILTER FOR BREAST CANCER CELL SEGMENTATION
Baidya Nath Saha, University of Calgary, Canada; Amritpal Saini, Nilanjan Ray, Russell Greiner, Judith Hugh, University of Alberta, Canada; Mauro Tambasco, San Diego State University, Canada
TEC-P1.7—ONE-SHOT SEGMENTATION OF BREAST, PECTORAL MUSCLE, AND BACKGROUND IN DIGITISED MAMMOGRAMS
Arnau Oliver, Xavier Lladó, Albert Torrent, Joan Martí, University of Girona, Spain
TEC-P1.8—A FORMAL METHOD FOR SELECTING EVALUATION METRICS FOR IMAGE SEGMENTATION
Abdel Aziz Taha, Allan Hanbury, Vienna University of Technology, Austria; Oscar Jimenez del Toro, University of Applied Sciences Western Swizerland, Switzerland
TEC-P1.9—A LEVEL-SET APPROACH FOR TRACKING OBJECTS IN
IMAGE SEQUENCES USING A LEVEL CONSERVATION CONSTRAINT: APPLICATION TO
CARDIAC SEQUENCES
Thomas Dietenbeck, ISIT Lab – UMR 6284 CNRS-UdA, University of Clermont, France; Daniel Barbosa, Martino Alessandrini, Jan D’hooge, Katholieke Universiteit Leuven, Portugal; Denis Friboulet, Olivier Bernard, CREATIS & INSA Lyon, France
TEC-P1.10—AUTOMATIC BLASTOMERE DETECTION IN DAY 1 TO DAY 2 HUMAN EMBRYO IMAGES USING PARTITIONED GRAPHS AND ELLIPSOIDS
Amarjot Singh, John Buonassisi, Parvaneh Saeedi, Simon Fraser University, Canada; Jon Havelock, Pacific Centre for Reproductive Medicine, Canada
TEC-P1.11—AUTOMATIC METHOD FOR TUMOR SEGMENTATION FROM 3-POINTS DYNAMIC PET ACQUISITIONS
Francesco Verdoja, Marco Grangetto, Università degli Studi di Torino, Italy; Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi, Istituto per la Ricerca e la Cura del Cancro, Italy
TEC-P1.12—FAST AND ROBUST IMAGE SEGMENTATION USING AN SUPERPIXEL BASED FCM ALGORITHM
Shi-xiang Jia, Caiming Zhang, Shandong University, P.R. China
TEC-P1.13—LUNG SEGMENTATION BASED ON NONNEGATIVE MATRIX FACTORIZATION
Ehsan Hosseini-Asl, Jacek Zurada, Ayman El-Baz, University of Louisville, USA
TEC-P1.14—VFCCV SNAKE: A NOVEL ACTIVE CONTOUR MODEL COMBINING EDGE AND REGIONAL INFORMATION
Jiuyu Sun, Nilanjan Ray, Hong Zhang, University of Alberta, Canada
TEC-P1.15—COMPARATIVE PERFORMANCE OF TEXTON BASED VASCULAR TREE SEGMENTATION IN RETINAL IMAGES
Lei Zhang, University of East Anglia, United Kingdom; Mark Fisher, The University of East Anglia, United Kingdom; Wenjia Wang, University of East Anglia, United Kingdom
TEC-P1.16—GRAPH-BASED SKIN LESION SEGMENTATION OF MULTISPECTRAL DERMOSCOPIC IMAGES
Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France; Marinette Revenu, ENSICAEN (Ecole Supérieure d’Ingénieurs de Caen), USA; Michel Desvignes, GRENOBLE-INP, France
TEC-P1.17—SPATIAL DENSITY ESTIMATION BASED SEGMENTATION OF SUPER-RESOLUTION LOCALIZATION MICROSCOPY IMAGES
Kuan-Chieh Chen, Ge Yang, Jelena Kovacevic, Carnegie Mellon University, USA
TEC-P1.18—UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT IMAGE SEGMENTATION
Ahmed Gawish, Paul Fieguth, Sebastian Marschall, Kostadinka Bizheva, University of Waterloo, Canada
TEC-P1.19—3D INTERACTIVE CORONARY ARTERY SEGMENTATION USING RANDOM FORESTS AND MARKOV RANDOM FIELD OPTIMIZATION
Jingjing Deng, Xianghua Xie, Swansea University, United Kingdom; Robin Alcock, Carl Roobottom, Plymouth Hospital, United Kingdom
TEC-P2: Compressive Sensing
Tuesday 14:00–16:00; Poster Session; Poster Area E
TEC-P2.1—RECONSTRUCTION OF COMPRESSIVELY SAMPLED ULTRASOUND IMAGES USING DUAL PRIOR INFORMATION
Alin Achim, University of Bristol, United Kingdom; Adrian Basarab, University of Toulouse, France; George Tzagkarakis, CEA, France; Panagiotis Tsakalides, FORTH-ICS and University of Crete, Greece; Denis Kouamé, University of Toulouse, France
TEC-P2.2—BLIND SPECTRAL UNMIXING FOR COMPRESSIVE HYPERSPECTRAL IMAGING OF HIGHLY MIXED DATA
William Lee, Mark Andrews, University of Auckland, New Zealand
TEC-P2.3—A SPARSE KACZMARZ SOLVER AND A LINEARIZED BREGMAN METHOD FOR ONLINE COMPRESSED SENSING
Dirk Lorenz, Stephan Wenger, Technische Universität Braunschweig, Germany; Frank Schöpfer, Carl von Ossietzky Universität Oldenburg, Germany; Marcus Magnor, Technische Universität Braunschweig, Germany
TEC-P2.4—DETAIL-PRESERVING COMPRESSIVE SENSING RECOVERY BASED ON CARTOON TEXTURE IMAGE DECOMPOSITION
Thuong Nguyen Canh, Khanh Dinh, Byeungwoo Jeon, Sungkyunkwan University, Korea
TEC-P2.5—PHASE RETRIEVAL OF SPARSE SIGNALS USING OPTIMIZATION TRANSFER AND ADMM
Daniel Weller, University of Michigan, USA; Ayelet Pnueli, Ori Radzyner, Gilad Divon, Yonina Eldar, Technion, Israel; Jeff Fessler, University of Michigan, USA
TEC-P2.6—DOWNWARD SPATIALLY-SCALABLE IMAGE RECONSTRUCTION BASED ON COMPRESSED SENSING
Shuyuan Zhu, Bing Zeng, University of Electronic Science and Technology of China, P.R. China; Lu Fang, University of Science and Technology of China, P.R. China; Moncef Gabbouj, Tampere University of Technology, Finland
TEC-P2.7—SPARSE IMAGE RECOVERY USING COMPRESSED SENSING OVER FINITE ALPHABETS
Valerio Bioglio, Università di Torino, Italy; Giulio Coluccia, Enrico Magli, Politecnico di Torino, Italy
TEC-P2.8—REAL-TIME COMPRESSED IMAGING OF SCATTERING VOLUMES
Ohad Menashe, Alex Bronstein, Tel Aviv University, Israel
TEC-P2.9—RECURSIVE PROJECTED SPARSE MATRIX RECOVERY (REPROSMR) WITH APPLICATION IN REAL-TIME VIDEO LAYER SEPARATION
Chenlu Qiu, Xiaodong Wu, Huiying Xu, Traffic Management Research Institute of the Ministry of Public Security, P.R. China
TEC-P2.10—GENERALIZED-KFCS: MOTION ESTIMATION ENHANCED KALMAN FILTERED COMPRESSIVE SENSING FOR VIDEO
Xin Ding, University of Cambridge, United Kingdom; Wei Chen, Beijing Jiaotong University, P.R. China; Ian Wassell, University of Cambridge, United Kingdom
TEC-P2.11—RECONSTRUCTION OF COMPRESSIVELY SAMPLED TEXTURE IMAGES IN THE GRAPH-BASED TRANSFORM DOMAIN
Stefania Colonnese, Stefano Rinauro, Katia Mangone, Mauro Biagi, Roberto Cusani, Gaetano Scarano, Università La Sapienza di Roma, Italy
TEC-P2.12—ADAPTIVE MEASUREMENT RATE ALLOCATION FOR BLOCK-BASED COMPRESSED SENSING OF DEPTH MAPS
Krishna Rao Vijayanagar, Ying Liu, Joohee Kim, Illinois Institute of Technology, USA
TEC-P2.13—SPLIT BREGMAN ALGORITHMS FOR SPARSE /
JOINT-SPARSE AND LOW-RANK SIGNAL RECOVERY: APPLICATION IN COMPRESSIVE
HYPERSPECTRAL IMAGING
Anupriya Gogna, IIIT-Delhi, India; Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar, Indraprastha Institute of Information Technology, India
TEC-P2.14—COMPRESSED SENSING RECONSTRUCTION OF 3D ULTRASOUND DATA USING DICTIONARY LEARNING
Oana Lorintiu, Hervé Liebgott, CREATIS & INSA Lyon, France; Martino Alessandrini, Katholieke Universiteit Leuven, Belgium; Olivier Bernard, Denis Friboulet, CREATIS & INSA Lyon, France
TEC-P2.15—A HIERARCHICAL BAYESIAN-MAP APPROACH TO COMPUTATIONAL IMAGING
Raghu Raj, United States Naval Research Laboratory, Washington D. C., USA; Alan Bovik, University of Texas at Austin, USA
ARS-L4: Manifold Learning
Tuesday 16:30–18:10; Oral Session; Room: Ampere 5+6
16:30 ARS-L4.1—UNSUPERVISED MANIFOLD LEARNING BY CORRELATION GRAPH AND STRONGLY CONNECTED COMPONENTS FOR IMAGE RETRIEVAL
Daniel Pedronette, São Paulo State University, Brazil; Ricardo Torres, Institute of Computing, State University of Campinas, Brazil
16:30 ARS-L4.2—LEARNING IMAGE MANIFOLD USING NEIGHBORING SIMILARITY INTEGRATION
Songsong Wu, Xiaoyuan Jing, Nanjing University of Posts and Telecommunications, P.R. China; Jian Yang, Jingyu Yang, Nanjing University of Science and Technology, P.R. China
16:30 ARS-L4.3—VISUAL OBJECT TRACKING WITH ONLINE LEARNING ON RIEMANNIAN MANIFOLDS BY ONE-CLASS SUPPORT VECTOR MACHINES
Yixiao Yun, Chalmers University of Technology, Sweden; Keren Fu, Shanghai Jiao Tong University, P.R. China; Irene Y. H. Gu, Chalmers University of Technology, Sweden; Jie Yang, Shanghai Jiao Tong University, P.R. China
16:30 ARS-L4.4—LEARNING ASSOCIATE APPEARANCE MANIFOLDS FOR CROSS-POSE FACE RECOGNITION
Xue Chen, Chunheng Wang, Baihua Xiao, Xinyuan Cai, Institute of Automation, Chinese Academy of Sciences, P.R. China
16:30 ARS-L4.5—IMPROVING HEAD AND BODY POSE ESTIMATION THROUGH SEMI-SUPERVISED MANIFOLD ALIGNMENT
Alexandre Heili, Idiap Research Institute, Switzerland; Jagannadan Varadarajan, Advanced Digital Sciences Center, Singapore; Bernard Ghanem, King Abdullah University of Science and Technology, Saudi Arabia; Narendra Ahuja, University of Illinois at Urbana-Champaign, USA; Jean-Marc Odobez, IDIAP, Switzerland
ARS-L5: Optical Flow Estimation
Tuesday 16:30–18:10; Oral Session; Room: Dickens 3+4
16:30 ARS-L5.1—ROBUST PROBABILISTIC OPTICAL FLOW FOR VIDEO SEQUENCES
Cornelia Vacar, University of Bordeaux, France; Farida Cheriet, Université de Montréal, Canada
16:50 ARS-L5.2—CROSS BASED ROBUST LOCAL OPTICAL FLOW
Tobias Senst, Thilo Borgmann, Ivo Keller, Thomas Sikora, Technische Universität Berlin, Germany
17:10 ARS-L5.3—LOCAL TEXTURE BASED OPTICAL FLOW FOR COMPLEX BRIGHTNESS VARIATIONS
Chen Wang, Zongqing Lu, Qingmin Liao, Tsinghua University, P.R. China
17:30 ARS-L5.4—OPTICAL FLOW FOR NON LAMBERTIAN SURFACES BY CANCELLING ILLUMINANT CHROMATICITY
Chetan Arora, The Hebrew University of Jerusalem, Israel; Michael Werman, Hebrew University of Jerusalem, Israel
17:50 ARS-L5.5—ARE REFLECTANCE FIELD RENDERINGS APPROPRIATE FOR OPTICAL FLOW EVALUATION?
Burkhard Güssefeld, Daniel Kondermann, University of Heidelberg, Germany; Christopher Schwartz, Reinhard Klein, University of Bonn, Germany
SMR-L1: Image and Video Quality
Tuesday 16:30–18:10; Oral Session; Room: Leonard de Vinci
16:30 SMR-L1.1—NEURALLY INFORMED ASSESSMENT OF PERCEIVED NATURAL TEXTURE IMAGE QUALITY
Sebastian Boße, Fraunhofer HHI, Germany; Laura Acqualagna, Anne Porbadnigk, Benjamin Blankertz, Berlin Institute of Technology, Germany; Gabriel Curio, Charité-Universitätsmedizin Berlin, Germany; Klaus-Robert Müller, Berlin Institute of Technology, Germany; Thomas Wiegand, Fraunhofer HHI, Germany
16:50 SMR-L1.2—STRUCTURAL TEXTURE SIMILARITY METRIC BASED ON INTRA-CLASS VARIANCES
Matteo Maggioni, Tampere University of Technology, Finland; Guoxin Jin, Northwestern University, USA; Alessandro Foi, Tampere University of Technology, Finland; Thrasyvoulos Pappas, Northwestern University, USA
17:10 SMR-L1.3—FULL REFERENCE VIDEO QUALITY ESTIMATION FOR VIDEOS WITH DIFFERENT SPATIAL RESOLUTIONS
Murat Demirtas, University of California, Irvine, USA; Amy Reibman, AT&T Labs – Research, USA; Hamid Jafarkhani, University of California, Irvine, USA
17:30 SMR-L1.4—STEREOSCOPIC IMAGE QUALITY METRIC BASED ON LOCAL ENTROPY AND BINOCULAR JUST NOTICEABLE DIFFERENCE
Sid Ahmed Fezza, University of Oran, Algeria; Chaker Larabi, Université de Poitiers, France; Kamel Mohamed Faraoun, Djillali Liabes University, Algeria
17:50 SMR-L1.5—DELIVERY QUALITY SCORE MODEL FOR INTERNET VIDEO
Hojatollah Yeganeh, Roman Kordasiewicz, Michael Gallant, Avvasi, Canada; Deepti Ghadiyaram, Alan Bovik, University of Texas at Austin, USA
TEC-L3: Magnetic Resonance Imaging
Tuesday 16:30–18:10; Oral Session; Room: Ampere 1+3
16:30 TEC-L3.1—ENTROPY RATE ESTIMATION FOR VECTOR PROCESSES: APPLICATION TO COMPLEX FMRI ANALYSIS
Gengshen Fu, Wei Du, Tulay Adali, University of Maryland, Baltimore County, USA
16:50 TEC-L3.2—UNSUPERVISED WHITE MATTER FIBER TRACTS CLUSTERING METHODOLOGY WITH APPLICATION ON BRAIN MRI DATA
Larbi Boubchir, University of Northumbria, United Kingdom; François Rousseau, ICube UMR 7357, CNRS-Université de Strasbourg, France
17:10 TEC-L3.3—MODEL-BASED ESTIMATION OF T2 MAPS WITH DUAL-ECHO STEADY-STATE MR IMAGING
Gopal Nataraj, Jon-Fredrik Nielsen, Jeff Fessler, University of Michigan, USA
17:30 TEC-L3.4—A REGULARIZED TRUST REGION METHOD FOR
JOINT RECONSTRUCTION OF SPIN MAGNITUDE, $T_2^*$ DECAY, AND
OFF-RESONANCE FIELD MAP
Chenxi Hu, Stanley Reeves, Auburn University, USA
17:50 TEC-L3.5—BRAIN TUMOR SEGMENTATION FROM MULTIPLE MRI SEQUENCES USING MULTIPLE KERNEL LEARNING
Naouel Boughattas, Maxime Berar, Université de Rouen, France; Kamel Hamrouni, ENIT, Tunis, Tunisie, Tunisia; Su Ruan, Université de Rouen, France
SS13: Advances in Facial Morpho-Functional Sign Recognition and Analysis
Tuesday 16:30–17:50; Oral Session; Room: Dickens 1+2
Session Chairs: A. Enis Cetin, Bilkent University; Sara Colantonio, ISTI-CNR
16:30 SS13.1—THE THERMAL DIMENSION OF PSYCHOPHYSIOLOGICAL AND EMOTIONAL RESPONSES REVEALED BY THERMAL INFRARED IMAGING
Daniela Cardone, University of Chieti-Pescara, Italy; Arcangelo Merla, University of Chieti-Pescara & ITAB – Institute for Advanced Biomedical Technology, Italy
16:50 SS13.2—AUTOMATIC HEART RATE ESTIMATION FROM PAINFUL FACES
Philipp Werner, University of Magdeburg, Germany; Ayoub Al-Hamadi, Otto von Guericke University Magdeburg, Germany; Steffen Walter, Sascha Gruss, Harald Traue, University of Ulm, Germany
17:10 SS13.3—CLICK AND SHARE: A FACE RECOGNITION TOOL FOR THE MOBILE COMMUNITY
Sara Casti, Fabio Sorrentino, Lucio Davide Spano, Riccardo Scateni, University of Cagliari, Italy
17:30 SS13.4—HEAD POSE TRACKING FOR IMMERSIVE APPLICATIONS
Pedro Henriquez, Oscar Higuera, Bogdan Matuszewski, University of Central Lancashire, United Kingdom
SS3: Plenoptic Imaging (Capture, Representation, Processing and Display)
Tuesday 16:30–18:10; Oral Session; Room: Ampere 7+8
Session Chairs: Atanas Gotchev, Tampere University of Technology; Mårten Sjöström, Mid Sweden University
16:30 SS3.1—TILTED LAYER-BASED MODELING FOR ENHANCED LIGHT-FIELD PROCESSING AND IMAGE BASED RENDERING
James Pearson, Marco Visentini-Scarzanella, Mike Brookes, Pier Luigi Dragotti, Imperial College London, United Kingdom
16:50 SS3.2—THE RADON IMAGE AS PLENOPTIC FUNCTION
Todor Georgiev, Qualcomm, USA; Salil Tambe, Rice University, USA; Andrew Lumsdaine, Indiana University, USA; Jennifer Gille, Qualcomm, USA; Ashok Veeraraghavan, Rice University, USA
17:10 SS3.3—3D KEYPOINT DETECTION BY LIGHT FIELD SCALE-DEPTH SPACE ANALYSIS
Ivana Toši?, Kathrin Berkner, Ricoh Innovations, Corp., USA
17:30 SS3.4—SPATIAL RESOLUTION IN A MULTI-FOCUS PLENOPTIC CAMERA
Mitra Damghanian, Roger Olsson, Mårten Sjöström, Mid Sweden University, Sweden; Arne Erdmann, Christian Perwass, Raytrix GmbH, Germany
17:50 SS3.5—DENSE LIGHTFIELD RECONSTRUCTION FROM MULTI APERTURE CAMERAS
Matthias Ziegler, Frederik Zilly, Peter Schäfer, Joachim Keinert, Michael Schöberl, Siegfried Foessel, Fraunhofer IIS, Germany
ARS-P5: Face Analysis
Tuesday 16:10–18:10; Poster Session; Poster Area A
ARS-P5.1—ADAPTIVE FEATURE SELECTION AND DATA PRUNING FOR 3D FACIAL EXPRESSION RECOGNITION USING THE KINECT
Sherin Aly, Virginia Tech & IGSR, Alexandria University, USA; Amira Youssef, The City of Scientific Research and Technological Applications, Egypt; Lynn Abbott, Virginia Tech, USA
ARS-P5.2—REMOTE PPG BASED VITAL SIGN MEASUREMENT USING ADAPTIVE FACIAL REGIONS
H. Emrah Tasli, University of Amsterdam & Vicarious Perception Technologies, The Netherlands; Amogh Gudi, University of Amsterdam, The Netherlands; Marten den Uyl, Vicarious Perception Technologies, The Netherlands
ARS-P5.3—FACIAL GRID TRANSFORMATION: A NOVEL FACE REGISTRATION APPROACH FOR IMPROVING FACIAL ACTION UNIT RECOGNITION
Shizhong Han, Zibo Meng, Ping Liu, Yan Tong, University of South Carolina, USA
ARS-P5.4—JOINTLY DETECTING INFANTS’ MULTIPLE FACIAL ACTION UNITS EXPRESSED DURING SPONTANEOUS FACE-TO-FACE COMMUNICATION
Nazanin Zaker, Mohammad Mahoor, University of Denver, USA; Daniel Messinger, University of Miami, USA; Jeffrey Cohn, University Pittsburg, USA
ARS-P5.5—AN ADAPTIVE GROUP LASSO BASED MULTI-LABEL REGRESSION APPROACH FOR FACIAL EXPRESSION ANALYSIS
Kaili Zhao, Honggang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, P.R. China
ARS-P5.6—FACIAL ACTION UNIT INTENSITY ESTIMATION USING ROTATION INVARIANT FEATURES AND REGRESSION ANALYSIS
Deniz Bingöl, Turgay Celik, Christian Omlin, Hima Vadapalli, University of the Witwatersrand, South Africa
ARS-P5.7—LEARNING SYMMETRIC FACE POSE MODELS ONLINE USING LOCALLY WEIGHTED PROJECTRON REGRESSION
Jawad Nagi, Gianni Di Caro, Alessandro Giusti, Luca Maria Gambardella, Dalle Molle Institute for Artificial Intelligence, Switzerland
ARS-P5.8—ONE SHOT EMOTION SCORES FOR FACIAL EMOTION RECOGNITION
Albert Cruz, Bir Bhanu, Ninad Thakoor, University of California, Riverside, USA
ARS-P5.9—WHAT DOES COMPUTER VISION SAY ABOUT FACE READING?
Terence Sim, Jing Wei, Wei Tsang Ooi, National University of Singapore, Singapore
ARS-P5.10—RESOLUTION LIMITS ON VISUAL SPEECH RECOGNITION
Helen Bear, Richard Harvey, Barry-John Theobald, Yuxuan Lan, University of East Anglia, United Kingdom
ARS-P5.11—FAST NEWTON ACTIVE APPEARANCE MODELS
Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic, Imperial College London, United Kingdom
ARS-P5.12—3D FACIAL GEOMETRIC FEATURES FOR CONSTRAINED LOCAL MODEL
Shiyang Cheng, Stefanos Zafeiriou, Akshay Asthana, Maja Pantic, Imperial College London, United Kingdom
ARS-P5.13—SLOW FEATURES NONNEGATIVE MATRIX FACTORIZATION FOR TEMPORAL DATA DECOMPOSITION
Lazaros Zafeiriou, Symeon Nikitidis, Stefanos Zafeiriou, Maja Pantic, Imperial College London, United Kingdom
ARS-P5.14—FIDUCIAL FACIAL POINT EXTRACTION WITH CROSS RATIO
Hao Wang, Xin Fan, Yuntao Li, Dalian University of Technology, P.R. China
ARS-P5.15—LOCAL AGE GROUP MODELING IN UNCONSTRAINED FACE IMAGES FOR FACIAL AGE CLASSIFICATION
Seung-Ho Lee, Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea
ARS-P5.16—FAST EYE LOCALIZATION WITHOUT A FACE MODEL USING INNER PRODUCT DETECTORS
Gabriel Araujo, Felipe Ribeiro, Eduardo da Silva, Federal University of Rio de Janeiro, Brazil; Siome Goldenstein, University of Campinas, Brazil
ARS-P5.17—MARKED POINT PROCESS MODEL FOR FACIAL WRINKLE DETECTION
Seong-Gyun Jeong, Yuliya Tarabalka, INRIA, France; Josiane Zerubia, INRIA, Sophia Antipolis, France
ARS-P6: Action and Gesture Analysis
Tuesday 16:10–18:10; Poster Session; Poster Area B
ARS-P6.1—RANDOMIZED DECISION BUSH: COMBINING GLOBAL
SHAPE PARAMETERS AND LOCAL SCALABLE DESCRIPTORS FOR HUMAN BODY PARTS
RECOGNITION
ByungIn Yoo, Samsung Advanced Institute of Technology & Korea Advanced Institute of Science and Technology, Korea; Wonjun Kim, Jae-Joon Han, Samsung Advanced Institute of Technology, Korea; Changkyu Choi, Samsung Electronics, Korea; Dusik Park, Samsung Advanced Institute of Technology, Korea; Junmo Kim, Korea Advanced Institute of Science and Technology, Korea
ARS-P6.2—KINECT-BASED MULTIMODAL GESTURE RECOGNITION USING A TWO-PASS FUSION SCHEME
Georgios Pavlakos, Stavros Theodorakis, Vassilis Pitsikalis, Athanasios Katsamanis, Petros Maragos, National Technical University of Athens, Greece
ARS-P6.3—GESTURE DYNAMICS MODELING FOR ATTITUDE ANALYSIS USING GRAPH BASED TRANSFORM
Zhaojun Yang, Antonio Ortega, Shrikanth Narayanan, University of Southern California, USA
ARS-P6.4—LABEL PROPAGATION ON DATA WITH MULTIPLE REPRESENTATIONS THROUGH MULTI-GRAPH LOCALITY PRESERVING PROJECTIONS
Olga Zoidi, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
ARS-P6.5—HAND GESTURE RECOGNITION WITH LEAP MOTION AND KINECT DEVICES
Giulio Marin, Fabio Dominio, Pietro Zanuttigh, University of Padova, Italy
ARS-P6.6—AN EFFICIENT METHOD FOR HUMAN POINTING ESTIMATION FOR ROBOT INTERACTION
Satoshi Ueno, Sei Naito, KDDI R&D Laboratories, Japan; Tsuhan Chen, Cornell University, USA
ARS-P6.7—HAND POSTURE RECOGNITION USING APPROXIMATE VANISHING IDEAL GENERATORS
Yanguo Zhao, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, P.R. China; Zhan Song, The Chinese University of Hong Kong, P.R. China
ARS-P6.8—A CORRESPONDENCE BASED METHOD FOR ACTIVITY RECOGNITION IN HUMAN SKELETON MOTION SEQUENCES
Eftychia Fotiadou, Nikos Nikolaidis, Aristotle University of Thessaloniki, Greece
ARS-P6.9—SMILE DETECTION IN UNCONSTRAINED SCENARIOS USING SELF-SIMILARITY OF GRADIENTS FEATURES
Hong Liu, Yuan Gao, Peking University, P.R. China; Pingping Wu, Peking University Shenzhen Graduate School, P.R. China
ARS-P6.10—ACTION CLASSIFICATION BY EXPLORING DIRECTIONAL CO-OCCURRENCE OF WEIGHTED STIPS
Mengyuan Liu, Hong Liu, Qianru Sun, Peking University, P.R. China
ARS-P6.11—ACTION RECOGNITION BASED ON KINEMATIC REPRESENTATION OF VIDEO DATA
Xin Sun, Beihang University, P.R. China; Di Huang, IRIP Laboratory, Beihang University, P.R. China; Yunhong Wang, Jie Qin, Beihang University, P.R. China
ARS-P6.12—DETECTING SELF-STIMULATORY BEHAVIOURS FOR AUTISM DIAGNOSIS
Shyam Sundar Rajagopalan, Roland Goecke, University of Canberra, Australia
ARS-P6.13—HUMAN ACTION RECOGNITION BASED ON BAG OF FEATURES AND MULTI-VIEW NEURAL NETWORKS
Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
ARS-P6.14—FREQUENCYGRAMS AND MULTI-FEATURE JOINT SPARSE REPRESENTATION FOR ACTION AND GESTURE RECOGNITION
Tushar Sandhan, Jin Young Choi, Seoul National University, Korea
ARS-P6.15—DENSE BODY PART TRAJECTORIES FOR HUMAN ACTION RECOGNITION
Ramana Oruganti, Ibrahim Radwan, Roland Goecke, University of Canberra, Australia
ARS-P6.16—ADVANCES ON ACTION RECOGNITION IN VIDEOS USING AN INTEREST POINT DETECTOR BASED ON MULTIBAND SPATIO-TEMPORAL ENERGIES
Kevis Maninis, Petros Koutras, Petros Maragos, National Technical University of Athens, Greece
ARS-P6.17—AUTOMATIC EXTRACTION OF SEMANTIC FEATURES FOR REAL-TIME ACTION RECOGNITION USING DEPTH ARCHITECTURE NETWORKS
Thang Tran, Fan Chen, Kazunori Kotani, Japan Advanced Institute of Science and Technology, Japan; Bac Le, University of Science, Vietnam
ARS-P6.18—BAGS-OF-DAGLETS FOR ACTION RECOGNITION
Ling Wang, Hichem Sahbi, Telecom ParisTech, France
ARS-P6.19—TREND-SENSITIVE HOUGH FORESTS FOR ACTION DETECTION
Kensho Hara, Takatsugu Hirayama, Kenji Mase, Nagoya University, Japan
ARS-P6.20—HISTOGRAM OF DMHI AND LBP IMAGES TO REPRESENT HUMAN ACTIONS
Sheikh Mohammad Ahsan, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa, Kyushu Institute of Technology, Japan
ARS-P6.21—2D ARTICULATED HUMAN POSE TRACKING: A HYBRID APPROACH
Ali Hassan, Murtaza Taj, Lahore University of Management Sciences, Pakistan
ARS-P6.22—ACTION RECOGNITION IN VIDEOS USING FREQUENCY ANALYSIS OF CRITICAL POINT TRAJECTORIES
Cyrille Beaudry, Renaud Péteri, Laurent Mascarilla, MIA – University La Rochelle, France
ARS-P6.23—LEARNING DISCRIMINATE FEATURES AND METRICS FOR MEASURING ACTION SIMILARITY
Yang Yang, Mubarak Shah, University of Central Florida, USA
ARS-P6.24—MULTI-CHANNEL CORRELATION FILTERS FOR HUMAN ACTION RECOGNITION
Hamed Kiani Galoogahi, Terence Sim, National University of Singapore, Singapore; Simon Lucey, CSIRO, Australia
ARS-P6.25—DISCOVERING DISTINCTIVE ACTION PARTS FOR ACTION RECOGNITION
Feifei Chen, Nong Sang, Changxin Gao, Xiaoqin Kuang, Huazhong University of Science and Technology, P.R. China
ARS-P6.26—LOW-RANK BASED COMPACT REPRESENTATION OF MOTION CAPTURE DATA
Junhui Hou, Lap-Pui Chau, Ying He, Nanyang Technological University, Singapore; Nadia Thalmann, Institute for Media Innovation, Singapore
ARS-P7: Object Detection
Tuesday 16:10–18:10; Poster Session; Poster Area C
ARS-P7.1—AN EFFICIENT NAIVE BAYES APPROACH TO CATEGORY-LEVEL OBJECT DETECTION
Kasim Terzic, J. du Buf, University of the Algarve, Portugal
ARS-P7.2—OPTICAL FLOW BASED DYNAMIC CURVED VIDEO TEXT DETECTION
Palaiahnakote Shivakumara, Mohamed Lubani, KokSheik Wong, University of Malaya, Malaysia; Tong Lu, Nanjing University, P.R. China
ARS-P7.3—AUTONOMOUS MULTI-SCALE OBJECT DETECTION WITH HOUGH FORESTS
Maria Scalzo, Syracuse University & AFRL Information Directorate, USA; Senem Velipasalar, Syracuse University, USA
ARS-P7.4—OBJECT RECONSTRUCTION IN AN IMAGE BASED ON BELIEF FUNCTION REPRESENTATION
Wafa Rekik, University Paris-Sud. & Institut d’Électronique Fondamentale (IEF), France; Sylvie Le Hégarat, Cyril André, Paris Sud Orsay, France; Abdelaziz Kallel, ISECS Sfax, Tunisia; Roger Reynaud, Paris Sud Orsay, France; Ahmed Ben Hamida, University of Sfax, Tunisia
ARS-P7.5—HISTOGRAMS OF ORIENTED GRADIENTS FOR FAST ON-BOARD VEHICLE VERIFICATION
Gonzalo Ballesteros, Luis Salgado, Universidad Autónoma de Madrid, Spain
ARS-P7.6—SHELF DETECTION VIA VANISHING POINT AND RADIAL PROJECTION
Jian Fan, Tong Zhang, Hewlett-Packard Laboratories, USA
ARS-P7.7—OBJECT CATEGORY DETECTION BY INCORPORATING MID-LEVEL GROUPING CUES
Gao Zhu, Yansheng Ming, Hongdong Li, Australian National University, Australia
ARS-P7.8—A COMPUTER VISION APPROACH FOR DETECTION AND QUANTIFICATION OF FEED PARTICLES IN MARINE FISH FARMS
Kristoffer Skøien, Norwegian University of Science and Technology, Norway; Morten Alver, SINTEF Fisheries and Aquaculture AS, Norway; Jo Arve Alfredsen, Norwegian University of Science and Technology, Norway
ARS-P7.9—CIRCULAR SPOT DETECTION AND SEGMENTATION WITH ROTATING LINE LOCAL BINARY ANALYSIS
Dongbo Zhang, Xia Liu, Xiangtan University, P.R. China
ARS-P7.10—WEAKLY SUPERVISED OBJECT LOCALIZATION VIA MAXIMAL ENTROPY RANDOM WALK
Liantao Wang, Nanjing University of Science and Technology, P.R. China; Ji Zhao, Carnegie Mellon University, P.R. China; Xuelei Hu, Jianfeng Lu, Nanjing University of Science and Technology, P.R. China
ARS-P7.11—USING LARGE COLOR LBP IN GENERALIZED HOUGH TRANSFORM
Jun-Jie Huang, Wan-Chi Siu, Hong Kong Polytechnic University, Hong Kong
ARS-P7.12—ROBUST SCENE TEXT DETECTION USING INTEGRATED FEATURE DISCRIMINATION
Qixiang Ye, David Doermann, University of Maryland Institute for Advanced Computer Studies, USA
ARS-P7.13—FACADE REPETITION EXTRACTION USING BLOCK MATRIX BASED MODEL
Hongfei Xiao, Gaofeng Meng, Lingfeng Wang, Shiming Xiang, Chunhong Pan, Chinese Academy of Sciences, P.R. China
ARS-P7.14—HOUGH-BASED OBJECT DETECTION WITH GROUPED FEATURES
Abhilash Srikantha, Juergen Gall, University of Bonn, Germany
ARS-P7.15—AUTOMATED CRATER DETECTION AND COUNTING USING THE HOUGH TRANSFORM
Monty Galloway, University of Western Australia, Australia; Gretchen Benedix, Phil Bland, Jonathan Paxman, Martin Towner, Tele Tan, Curtin University, Australia
ARS-P7.16—MIRROR REFLECTION INVARIANT HOG DESCRIPTORS FOR OBJECT DETECTION
Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada, University of Tokyo, Japan
ARS-P7.17—VESSEL EXTRACTION USING ANISOTROPIC MINIMAL PATHS AND PATH SCORE
Da Chen, Laurent Cohen, Jean-Marie Mirebeau, Université Paris-Dauphine, France
ARS-P7.18—MULTI-SCALE CAR DETECTION AND LOCALIZATION USING CONTOUR FRAGMENTS
Lei Li, Seong Beak Yoon, Jixuan Liu, Juneho Yi, Sungkyunkwan University, Korea
ARS-P7.19—IMAGE PATCH ANALYSIS AND CLUSTERING OF SUNSPOTS: A DIMENSIONALITY REDUCTION APPROACH
Kevin Moon, Jimmy Li, University of Michigan, USA; Véronique Delouille, Royal Observatory of Belgium, Belgium; Fraser Watson, National Solar Observatory, USA; Alfred Hero III, University of Michigan, USA
ARS-P7.20—K-SVD DICTIONARY LEARNING USING A FAST OMP WITH APPLICATIONS
M. r. Azimi-Sadjadi, Justin Kopacz, Nicholas Klausner, Colorado State University, USA
ARS-P7.21—WIDE-BASELINE IMAGE CHANGE DETECTION
Ziggy Jones, Mike Brookes, Pier Luigi Dragotti, Imperial College London, United Kingdom; David Benton, L-3 TRL Technology, United Kingdom
ARS-P7.22—OBSTACLE DETECTION BY MEANS OF STEREO FEATURE MATCHING
Ajay Mittal, PEC University of Technology, India; Abdelaziz Bensrhair, INSA de Rouen, France; Edwin Hancock, University of York, United Kingdom
ARS-P7.23—PLANETARY ROVER LOCALIZATION WITHIN ORBITAL MAPS
Ara Nefian, Carnegie Mellon University, USA; Xavier Bouyssounouse, Laurence Edwards, Taemin Kim, NASA Ames Research Center, USA; Emily Hand, Jared Rhizor, University of Nevada, Reno, USA; Matthew Deans, NASA Ames Research Center, USA; George Bebis, University of Nevada, Reno, USA; Terry Fong, NASA Ames Research Center, USA
ARS-P7.24—MOVING CAST SHADOW DETECTION USING ONLINE SUB-SCENE SHADOW MODELING AND OBJECT INNER-EDGES ANALYSIS
Jun Wang, Yuehuan Wang, Man Jiang, Xiaoyun Yan, Huazhong University of Science and Technology, P.R. China
TEC-P3: Formation and Reconstruction
Tuesday 16:10–18:10; Poster Session; Poster Area D
TEC-P3.1—NUMERICAL STUDY OF AN OPTIMIZATION PROBLEM FOR MOSAIC ACTIVE IMAGING
Nicolas Lermé, Télécom ParisTech, France; François Malgouyres, IMT, Université Paul Sabatier, France; Emmanuelle Thouin, ONERA, Université Paul Sabatier, France; Dominique Hamoir, ONERA – The French Aerospace Lab, France
TEC-P3.2—GLOBAL SCHEME FOR ITERATIVE MOJETTE RECONSTRUCTIONS
Benoit Recur, Australian National University & Applied Math., RSPE, Australia; Henri Der Sarkissian, University of Nantes & Keosys Company, France; Myriam Servières, LUNAM Université, France
TEC-P3.3—TOPOLOGICAL GRADIENT FOR A FOURTH ORDER PDE AND APPLICATION TO THE DETECTION OF FINE STRUCTURES IN 2D AND 3D IMAGES
Audric Drogoul, Université de Nice Sophia Antipolis, France; Gilles Aubert, Nice University, France; Didier Auroux, CNRS Laboratoire Jean-Alexandre Dieudonné, France
TEC-P3.4—A GRADIENT-LIKE VARIATIONAL BAYESIAN APPROACH: APPLICATION TO MICROWAVE IMAGING FOR BREAST TUMOR DETECTION
Leila Gharsalli, Laboratoire des Signaux et Systemes & UMR8506-CNRS-SUPELEC-Univ Paris Sud, France; Bernard Duchêne, Laboratoire des Signaux et Systèmes/Supèlec/CNRS, France; Ali Mohammad-Djafari, Centre National de la Recherche Scientifique (CNRS), France; Hacheme Ayasso, GIPSA-LAB, France
TEC-P3.5—A NONCONVEX REGULARIZED APPROACH FOR PHASE RETRIEVAL
Audrey Repetti, Emilie Chouzenoux, Université Paris-Est Marne-la-Vallée, France; Jean-Christophe Pesquet, Université Paris-Est, France
TEC-P3.6—PERFORMANCE COMPARISON OF ITERATIVE REWEIGHTING METHODS FOR TOTAL VARIATION REGULARIZATION
Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, USA
TEC-P3.7—TOMOGRAPHIC RECONSTRUCTION OF FLOWING GASES USING SPARSE TRAINING
Zeeshan Nadir, Purdue University, USA; Michael Brown, Airforce Research Laboratory, Dayton, OH, USA; Mary Comer, Charles Bouman, Purdue University, USA
TEC-P3.8—MOTION-BASED PROJECTION GENERATION FOR 4D-CT RECONSTRUCTION
Salam Dhou, Geoffrey Hugo, Alen Docef, Virginia Commonwealth University, USA
TEC-P3.9—ANGULAR DIFFERENCE MEASURE BETWEEN TOMOGRAPHIC PROJECTIONS TAKEN AT UNKNOWN DIRECTIONS IN 2D
Minh-Son Phan, University of Strasbourg & CNRS Icube, France; Étienne Baudrier, Loïc Mazo, Mohamed Tajine, University of Strasbourg, France
TEC-P3.10—BINARY TOMOGRAPHY RECONSTRUCTIONS OF BONE MICROSTRUCTURE FROM FEW PROJECTIONS WITH STOCHASTIC LEVEL-SET METHODS
Lin Wang, Bruno Sixou, Francoise Peyrin, INSA Lyon, France
TEC-P3.11—ULTRASOUND IMAGE RECONSTRUCTION USING THE FINITE-RATE-OF-INNOVATION PRINCIPLE
Satish Mulleti, Sudarshan Nagesh, Indian Institute of Science, India; Rajesh Langoju, Abhijit Patil, General Electric, India; Chandra Sekhar Seelamantula, Indian Institute of Science, India
TEC-P3.12—COMBINING INTERIOR TOMOGRAPHY RECONSTRUCTION AND SPATIAL REGULARIZATION
Lilian Chaves Brandão dos Santos, Université Paris Est, France; Emmanuelle Gouillart, Saint Gobain Recherche, France; Hugues Talbot, Université Paris-Est, France
TEC-P3.13—FAST ITERATIVELY REWEIGHTED LEAST SQUARES FOR LP REGULARIZED IMAGE DECONVOLUTION AND RECONSTRUCTION
Xu Zhou, Beihang University, P.R. China; Rafael Molina, Universidad de Granada, Spain; Fugen Zhou, Beihang University, P.R. China; Aggelos K. Katsaggelos, Northwestern University, USA
TEC-P3.14—HIGH BIT-PRECISION IMAGE ACQUISITION AND RECONSTRUCTION BY PLANNED SENSOR DISTORTION
Pengfei Wan, Oscar Au, Jiahao Pang, Ketan Tang, Rui Ma, Hong Kong University of Science and Technology, Hong Kong
TEC-P3.15—HIGH-PERFORMANCE 3D DECONVOLUTION OF FLUORESCENCE MICROGRAPHS
Sander Kromwijk, Stamatios Lefkimmiatis, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TEC-P3.16—A FAST METHOD FOR RECONSTRUCTION OF TOTAL-VARIATION MR IMAGES WITH A PERIODIC BOUNDARY CONDITION
Yonggui Zhu, Commun. Univiversity of China, P.R. China; Yuying Shi, North China Electric Power University, P.R. China
TEC-P3.17—ROBUST PHASE UNWRAPPING BY CONVEX OPTIMIZATION
Adriana Gonzalez Gonzalez, Université Catholique de Louvain, Belgium; Laurent Jacques, University of Louvain, Belgium
TEC-P3.18—DICTIONARY LEARNING FOR SPARSITY-DRIVEN SAR IMAGE RECONSTRUCTION
Abdurrahim So?anl?, Müjdat Çetin, Sabanc? University, Turkey
TEC-P3.19—QUANTIFICATION OF COMPUTED TOMOGRAPHY PORK CARCASS IMAGES
Anton Bardera, University of Girona, Spain; Imma Boada, Universitat de Girona, Spain; Albert Brun, Maria Font-i-Furnols, Marina Gispert, IRTA, Spain
TEC-P3.20—SENSOR NOISE MEASUREMENT IN THE PRESENCE OF A FLICKERING ILLUMINATION
Frederic Sur, Université de Lorraine & LORIA – CNRS – INRIA Lorraine, France; Michel Grediac, Université Blaise Pascal, France
TEC-P3.21—THE MAXIMUM SPACING NOISE ESTIMATION IN SINGLE-COIL BACKGROUND MRI DATA
Tomasz Pieciak, AGH University of Science and Technology, Poland
TEC-P4: Interpolation and Mosaicing
Tuesday 16:10–18:10; Poster Session; Poster Area E
TEC-P4.1—ALIGNMENT-FREE EXPOSURE FUSION OF IMAGE PAIRS
Wei-Rong Sie, Taiwan Semiconductor Manufacturing Company, Ltd., Taiwan; Chiou-Ting Hsu, National Tsing Hua University, Taiwan
TEC-P4.2—COLOR FRINGE CORRECTION BASED ON IMAGE FUSION
Dong-Won Jang, Hyo-Song Kim, Chang-Dae Jung, Rae-Hong Park, Sogang University, Korea
TEC-P4.3—PHOTOMETRIC ALIGNMENT FOR SURROUND VIEW CAMERA SYSTEM
Yucheng Liu, Purdue University, USA; Buyue Zhang, Texas Instruments Inc., USA
TEC-P4.4—A MULTILAYER NEURAL NETWORK FOR IMAGE DEMOSAICKING
Yi-Qing Wang, Ecole Normale Supérieure de Cachan, France
TEC-P4.5—EXAMPLE BASED DEMOSAICING
Gilad Michael, Nahum Kiryati, Tel Aviv University, Israel
TEC-P4.6—IMAGE DEMOSAICING BY USING ITERATIVE RESIDUAL INTERPOLATION
Wei Ye, Kai-Kuang Ma, Nanyang Technological University, Singapore
TEC-P4.7—EXPLOITATION OF INTER-COLOR CORRELATION FOR COLOR IMAGE DEMOSAICKING
Sunil Jaiswal, Oscar Au, Vinit Jakhetiya, Yuan Yuan, Haiyan Yang, Hong Kong University of Science and Technology, Hong Kong
TEC-P4.8—GRADIENT GUIDED IMAGE INTERPOLATION
Guangmei Jing, Yi-King Choi, The University of Hong Kong, Hong Kong; Jiaye Wang, Shandong University of Finance and Economics, P.R. China; Wenping Wang, The University of Hong Kong, Hong Kong
TEC-P4.9—MPCA: EM-BASED PCA FOR MIXED-SIZE IMAGE DATASETS
Feiyu Shi, Menghua Zhai, Drew Duncan, Nathan Jacobs, University of Kentucky, USA
TEC-P4.10—MODIFIED SOFT-DECISION ADAPTIVE INTERPOLATION BY AN EVOLUTIONARY GAME
Pei-Chi Hsiao, Ding-Jie Chen, Long-Wen Chang, National Tsing Hua University, Taiwan
TEC-P4.11—2D SEMI-SUPERVISED CCA-BASED INPAINTING INCLUDING NEW PRIORITY ESTIMATION
Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
TEC-P4.12—GENERAL SCALE INTERPOLATION BASED ON FINE-GRAINED ISOPHOTE MODEL WITH CONSISTENCY CONSTRAINT
Wenhan Yang, Jiaying Liu, Mading Li, Zongming Guo, Peking University, P.R. China
TEC-P4.13—IMAGE INTERPOLATION FROM MANHATTAN CUTSET SAMPLES VIA ORTHOGONAL GRADIENT METHOD
Matthew Prelee, David Neuhoff, University of Michigan, USA
TEC-P4.14—RECONSTRUCTION OF TEXTURELESS REGIONS USING STRUCTURE FROM MOTION AND IMAGE-BASED INTERPOLATION
Philip Saponaro, Scott Sorensen, Stephen Rhein, University of Delaware, USA; Andrew Mahoney, University of Alaska Fairbanks, USA; Chandra Kambhamettu, University of Delaware, USA
TEC-P4.15—DIRECTIONAL INTRA FRAME INTERPOLATION FOR HEVC COMPRESSED VIDEO
Xinwei Gao, Xiaopeng Fan, Min Gao, Debin Zhao, Harbin Institute of Technology, P.R. China
TEC-P4.16—LUMINANCE DRIVEN SPARSE REPRESENTATION BASED DEMOSAICKING
Mattia Rossi, Giancarlo Calvagno, University of Padova, Italy
TEC-P4.17—DISPARITY-GUIDED DEMOSAICKING OF LIGHT FIELD IMAGES
Mozhdeh Seifi, Neus Sabater, Technicolor Research & Innovation, France; Valter Drazic, Patrick Perez, Technicolor, France
ARS-L6: Image Retrieval
Wednesday 10:30–12:30; Oral Session; Room: Leonard de Vinci
10:30 ARS-L6.1—DIMENSIONALITY REDUCTION OF VISUAL FEATURES USING SPARSE PROJECTORS FOR CONTENT-BASED IMAGE RETRIEVAL
Romain Negrel, David Picard, Philippe Gosselin, University of Cergy-Pontoise, France
10:50 ARS-L6.2—DIVERSITY-DRIVEN LEARNING FOR MULTIMODAL IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK
Rodrigo Calumby, University of Feira de Santana, Brazil; Ricardo Torres, Institute of Computing, State University of Campinas, Brazil; Marcos Gonçalves, UFMG, Brazil
11:10 ARS-L6.3—SHAPE-BASED OBJECT RETRIEVAL BY CONTOUR SEGMENT MATCHING
Cong Yang, Oliver Tiebe, Pit Pietsch, Christian Feinen, Udo Kelter, Marcin Grzegorzek, University of Siegen, Germany
11:30 ARS-L6.4—CASCADED SPARSE COLOR-LOCALIZED MATCHING FOR LOGO RETRIEVAL
Rohit Pandey, University at Buffalo, USA; Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, eBay Research Labs, USA
11:50 ARS-L6.5—EFFICIENT BINARY CODES FOR EXTREMELY HIGH-DIMENSIONAL DATA
Tsung-Yu Lin, Tyng-Luh Liu, Academia Sinica, Taiwan
12:10 ARS-L6.6—COMPONENT HASHING OF VARIABLE-LENGTH BINARY AGGREGATED DESCRIPTORS FOR FAST IMAGE SEARCH
Zhe Wang, Lingyu Duan, Jie Lin, Tiejun Huang, Wen Gao, Peking University, P.R. China; Miroslaw Bober, University of Surrey, United Kingdom
ELI-L2: 3D Modeling and Synthesis
Wednesday 10:30–12:30; Oral Session; Room: Ampere 1+3
10:30 ELI-L2.1—MULTIDIMENSIONAL STEERABLE FILTERS AND 3D FLOW ESTIMATION
Dimitrios Alexiadis, Nikolaos Mitianoudis, Democritus University of Thrace, Greece; Tania Stathaki, Imperial College London, United Kingdom
10:50 ELI-L2.2—DEPTH EXTRACTION FROM A SINGLE IMAGE BY SAMPLING BASED ON DISTANCE METRIC LEARNING
Hu Tian, Bojin Zhuang, Yan Hua, Anni Cai, Beijing University of Posts and Telecommunications, P.R. China
11:10 ELI-L2.3—LEARNING 3D STRUCTURE FROM 2D IMAGES USING LBP FEATURES
José Herrera, Carlos del-Blanco, Narciso García, Universidad Politécnica de Madrid, Spain
11:30 ELI-L2.4—STREET VIEW CROSS-SOURCED POINT CLOUD MATCHING AND REGISTRATION
Furong Peng, Nanjing University of Science and Technology, P.R. China; Qiang Wu, University of Technology, Sydney, Australia; Lixin Fan, Nokia Research Center, Finland; Jian Zhang, University of Technology, Sydney, USA; Yu You, Nokia Research Center, Finland; Jianfeng Lu, Jin-Yu Yang, Nanjing University of Science and Technology, P.R. China
11:50 ELI-L2.5—SEAMLESS TEXTURE STITCHING ON A 3D MESH BY POISSON BLENDING IN PATCHES
Arnaud Dessein, William Smith, Richard Wilson, Edwin Hancock, University of York, United Kingdom
12:10 ELI-L2.6—3D VISUAL PRONUNCIATION OF MANDARIN CHINESE FOR LANGUAGE LEARNING
Jun Yu, University of Science and Technology of China, P.R. China; Aijun Li, Institute of Linguistics, Chinese Academy of Social Sciences, P.R. China
GRA-L1: Graph-Based Image Processing
Wednesday 10:30–12:30; Oral Session; Room: Ampere 5+6
10:30 GRA-L1.1—GRAPH SIGNAL DECOMPOSITION FOR MULTI-SCALE DETAIL MANIPULATION
Moncef Hidane, University of Bordeaux, France; Olivier Lezoray, Abderrahim Elmoataz, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France
10:50 GRA-L1.2—TRILATERAL FILTER ON GRAPH SPECTRAL DOMAIN
Masaki Onuki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
11:10 GRA-L1.3—A COMPLEX NETWORK BASED FEATURE EXTRACTION FOR IMAGE RETRIEVAL
Jieqi Kang, Shan Lu, Weibo Gong, Patrick Kelly, University of Massachusetts, Amherst, USA
11:30 GRA-L1.4—GRAPH-BASED JOINT DENOISING AND SUPER-RESOLUTION OF GENERALIZED PIECEWISE SMOOTH IMAGES
Wei Hu, Hong Kong University of Science and Technology, Hong Kong; Gene Cheung, National Institute of Informatics, Japan; Xin Li, West Virginia University, USA; Oscar Au, Hong Kong University of Science and Technology, Hong Kong
11:50 GRA-L1.5—GRAPH-BASED APPROACH FOR MOTION CAPTURE DATA REPRESENTATION AND ANALYSIS
Jiun-Yu Kao, Antonio Ortega, Shrikanth Narayanan, University of Southern California, USA
12:10 GRA-L1.6—POINT CLOUD ATTRIBUTE COMPRESSION WITH GRAPH TRANSFORM
Cha Zhang, Dinei Florencio, Charles Loop, Microsoft Research, USA
TEC-L4: Super-Resolution
Wednesday 10:30–12:30; Oral Session; Room: Dickens 3+4
10:30 TEC-L4.1—SINGLE IMAGE SUPER-RESOLUTION VIA SPARSE KPCA AND REGRESSION
Tingrong Yuan, Wenming Yang, Fei Zhou, Qingmin Liao, Tsinghua University, P.R. China
10:50 TEC-L4.2—ROBUST SINGLE-IMAGE SUPER-RESOLUTION USING CROSS-SCALE SELF-SIMILARITY
Jordi Salvador, Technicolor, Germany; Eduardo Pérez-Pellitero, Technicolor & Leibniz University Hannover, Germany; Axel Kochale, Technicolor, Germany
11:10 TEC-L4.3—EXAMPLE-BASED SUPER-RESOLUTION USING SELF-PATCHES AND APPROXIMATED CONSTRAINED LEAST SQUARES FILTER
ChangHun Cho, Jaehwan Jeon, Joonki Paik, Chung-Ang University, Korea
11:30 TEC-L4.4—SUPER-RESOLUTION FROM A LOW- AND PARTIAL HIGH- RESOLUTION IMAGE PAIR
Moncef Hidane, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, University of Bordeaux, France
11:50 TEC-L4.5—JOINT VIDEO FUSION AND SUPER RESOLUTION BASED ON MARKOV RANDOM FIELDS
Jin Chen, Jose Nunez-Yanez, Alin Achim, University of Bristol, United Kingdom
12:10 TEC-L4.6—SUPER-RESOLUTION HYPERSPECTRAL IMAGING WITH UNKONWN BLURRING BY LOW-RANK AND GROUP-SPARSE MODELING
Huijuan Huang, Tsinghua University, P.R. China; Anthony Christodoulou, University of Illinois at Urbana-Champaign, USA; Weidong Sun, Tsinghua University, P.R. China
SS12: Electron-Microscopy Image Processing Problems and Applications in Biology: From Structure to Dynamics
Wednesday 10:30–12:30; Oral Session; Room: Ampere 7+8
Session Chairs: Slavica Jonic, IMPMC, Sorbonne Universités, CNRS-UPMC-MNHN-IRD; C. Sanchez-Sorzano, Centro Nacional Biotecnología
10:30 SS12.1—NEW ADVANCES IN IMAGING POLYMERS AT NEAR-ATOMIC RESOLUTION
Edward Egelman, University of Virginia, USA
10:50 SS12.2—ELASTIC IMAGE REGISTRATION TO FULLY EXPLORE MACROMOLECULAR DYNAMICS BY ELECTRON MICROSCOPY
Qiyu Jin, Shanghai Jiao Tong University, P.R. China; C. Sanchez-Sorzano, Centro Nacional Biotecnología, Spain; Isabelle Callebaut, IMPMC, Sorbonne Universités, CNRS-UPMC-MNHN-IRD, France; Florence Tama, RIKEN, Advanced Institute for Computational Sciences, Japan; Slavica Jonic, IMPMC, Sorbonne Universités, CNRS-UPMC-MNHN-IRD, France
11:10 SS12.3—CONDITIONAL RANDOM FIELDS FOR TUBULIN-MICROTUBULE SEGMENTATION IN CRYO-ELECTRON TOMOGRAPHY
Charles Kervrann, Sophie Blestel, INRIA, France; Denis Chretien, CNRS UMR 6290 IGDR, France
11:30 SS12.4—AUTOMATED DETECTION OF POLYSOMES IN CRYOELECTRON TOMOGRAPHY
Luis Kuhn Cuellar, Stefan Pfeffer, Max Planck Institute of Biochemistry, Germany; Yuxiang Chen, Max Planck Institute of Biochemistry & Technical University Munich, Germany; Friedrich Förster, Max Planck Institute of Biochemistry, Germany
11:50 SS12.5—AB INITIO CRYO-EM STRUCTURE DETERMINATION AS A VALIDATION PROBLEM
Pawel Penczek, The University of Texas, USA; Francisco Asturias, The Scripps Research Institute, USA
12:10 SS12.6—AN IMAGE PROCESSING APPROACH TO THE SIMULATION OF ELECTRON MICROSCOPY VOLUMES OF ATOMIC STRUCTURES
C. Sanchez-Sorzano, Javier Vargas, Joaquin Oton, Vahid Abrishami, Jose Miguel de la Rosa Trevín, National Center of Biotechnology, Spain; Sandra del Riego, Alejandro Fernández-Alderete, Carlos Martínez-Rey, Universidad San Pablo CEU, Spain; Roberto Marabini, Universidad Autonoma de Madrid, Spain; Jose Maria Carazo, National Center of Biotechnology, Spain
SS17: Efficient Design of HEVC Video-Codec Implementations
Wednesday 10:30–12:30; Oral Session; Room: Dickens 1+2
Session Chair: Vivienne Sze, Massachusetts Institute of Technology
10:30 SS17.1—ENERGY AND AREA-EFFICIENT HARDWARE IMPLEMENTATION OF HEVC INVERSE TRANSFORM AND DEQUANTIZATION
Mehul Tikekar, Massachusetts Institute of Technology, USA; Huang Chao-Tsung, National Tsing Hua University, Taiwan; Vivienne Sze, Anantha Chandrakasan, Massachusetts Institute of Technology, USA
10:50 SS17.2—HIGH-THROUGHPUT AND LOW-COST HARDWARE-ORIENTED INTEGER TRANSFORMS FOR HEVC
Trang Do, Yih Han Tan, Chuohao Yeo, Institute for Infocomm Research, Singapore
11:10 SS17.3—A 2014 MBIN/S DEEPLY PIPELINED CABAC DECODER FOR HEVC
Yu-Hsin Chen, Vivienne Sze, Massachusetts Institute of Technology, USA
11:30 SS17.4—EXPLORING MPEG HEVC DECODER PARALLELISM FOR THE EFFICIENT PORTING ONTO MANY-CORE PLATFORMS
Damien de Saint Jorre, Claudio Alberti, Marco Mattavelli, Simone Casale Brunet, Ecole Polytechnique Fédérale de Lausanne, Switzerland
11:50 SS17.5—REDUCING POWER CONSUMPTION OF HEVC CODEC WITH LOSSLESS REFERENCE FRAME RECOMPRESSION
Dajiang Zhou, Li Guo, Jinjia Zhou, Satoshi Goto, Waseda University, Japan
12:10 SS17.6—REAL TIME SHVC DECODER: IMPLEMENTATION AND COMPLEXITY ANALYSIS
Wassim Hamidouche, Mickael Raulet, Olivier Deforges, IETR-INSA Rennes, France
ARS-P8: Video Surveillance
Wednesday 10:30–12:30; Poster Session; Poster Area B
ARS-P8.1—A SIMILARITY MEASURE FOR ANALYZING HUMAN ACTIVITIES USING HUMAN-OBJECT INTERACTION CONTEXT
Mohsen Amiri, University of British Columbia, Canada; Mahsa T. Pourazad, TELUS Communications Company, Canada; Panos Nasiopoulos, Victor Leung, University of British Columbia, Canada
ARS-P8.2—A CLUSTER SPECIFIC LATENT DIRICHLET ALLOCATION MODEL FOR TRAJECTORY CLUSTERING IN CROWDED VIDEOS
Jialing Zou, Yanting Cui, F. Wan, Qixiang Ye, Jianbin Jiao, University of Chinese Academy of Sciences, P.R. China
ARS-P8.3—WEAKLY SUPERVISED CROSS-VIEW ACTION RECOGNITION VIA SEQUENTIAL MOTION ACCUMULATION
Yi Liu, University of Chinese Academy of Sciences, P.R. China; Lei Qin, Chinese Academy of Sciences, P.R. China; Zhongwei Cheng, University of Chinese Academy of Sciences, P.R. China; Yanhao Zhang, Weigang Zhang, Harbin Institute of Technology, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China
ARS-P8.4—GAUSSIAN RINGLET INTENSITY DISTRIBUTION
(GRID) FEATURES FOR ROTATION-INVARIANT OBJECT DETECTION IN WIDE AREA
MOTION IMAGERY
Theus Aspiras, Vijayan Asari, University of Dayton, USA; Juan Vasquez, AFRL, USA
ARS-P8.5—MULTI-FEATURE STATIONARY FOREGROUND DETECTION FOR CROWDED VIDEO-SURVEILLANCE
Diego Ortego, Juan Carlos SanMiguel, Universidad Autonoma de Madrid, Spain
ARS-P8.6—SIMULTANEOUS SPARSITY MODEL FOR MULTI-PERSPECTIVE VIDEO ANOMALY DETECTION
Xuan Mo, Vishal Monga, Pennsylvania State University, USA; Raja Bala, Xerox Corporation, USA
ARS-P8.7—AN ONLINE LEARNED HOUGH FOREST MODEL FOR MULTI-TARGET TRACKING
Jun Xiang, Nong Sang, Huazhong University of Science and Technology, P.R. China; Jianhua Hou, South-Central University for Nationalities, P.R. China
ARS-P8.8—PEDESTRIAN DETECTION IN HIGHLY CROWDED SCENES USING “ONLINE” DICTIONARY LEARNING FOR OCCLUSION HANDLING
Bing Wang, Kap Chan, Wang Gang, Haijian Zhang, Nanyang Technological University, Singapore
ARS-P8.9—A SCENE-SPECIFIC DEFORMABLE PART-BASED MODEL FOR OBJECT DETECTION
Yinghua Zhang, Ling Cai, Luyan Chen, Yuming Zhao, Shanghai Jiao Tong University, P.R. China
ARS-P8.10—METRIC LEARNING WITH TRACE-NORM REGULARIZATION FOR PERSON RE-IDENTIFICATION
Bohuai Yao, Zhicheng Zhao, Kai Liu, Beijing University of Posts and Telecommunications, P.R. China
ARS-P8.11—WEAKLY SUPERVISED PEDESTRIAN DETECTOR TRAINING BY UNSUPERVISED PRIOR LEARNING AND CUE FUSION IN VIDEOS
Kyaw Kyaw Htike, David Hogg, University of Leeds, United Kingdom
ARS-P8.12—A FRAMEWORK FOR UNIQUE PEOPLE COUNT FROM MONOCULAR VIDEOS
Satarupa Mukherjee, Nilanjan Ray, University of Alberta, Canada
ARS-P8.13—A NOVEL SOLUTION FOR MULTI-CAMERA OBJECT TRACKING
Weihua Chen, Lijun Cao, Xiaotang Chen, Kaiqi Huang, Chinese Academy of Sciences, P.R. China
ARS-P8.14—SWARM-BASED MOTION FEATURES FOR ANOMALY DETECTION IN CROWDS
Vagia Kaltsa, Alexia Briassouli, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece; Michael Strintzis, Aristotle University of Thessaloniki, Greece
ARS-P8.15—SUPER-PIXEL BASED CROWD FLOW SEGMENTATION IN H.264 COMPRESSED VIDEOS
Sovan Biswas, Gnana Praveen, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
ARS-P8.16—MULTI-SCALE ANALYSIS OF CONTEXTUAL INFORMATION WITHIN SPATIO-TEMPORAL VIDEO VOLUMES FOR ANOMALY DETECTION
Nannan Li, Huiwen Guo, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, P.R. China; Dan Xu, The Chinese University of Hong Kong, P.R. China; Xinyu Wu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, P.R. China
ARS-P8.17—BACKGROUND EXTRACTION FROM VIDEO SEQUENCES VIA MOTION-ASSISTED MATRIX COMPLETION
Jingyu Yang, Xin Sun, Xinchen Ye, Kun Li, Tianjin University, P.R. China
ARS-P8.18—COMPLEX EVENT RECOGNITION BY LATENT TEMPORAL MODELS OF CONCEPTS
Ehsan Zare Borzeshi, University of Technology, Sydney, Australia; Afshin Dehghan, University of Central Florida, USA; Massimo Piccardi, University of Technology, Sydney, Australia; Mubarak Shah, University of Central Florida, USA
ARS-P8.19—PEDESTRIAN COUNTING BASED ON SPATIAL AND TEMPORAL ANALYSIS
Zhongjie Yu, Chen Gong, Jie Yang, Shanghai Jiao Tong University, P.R. China; Li Bai, Nottingham University, United Kingdom
ARS-P8.20—STATIC REGION CLASSIFICATION USING HIERARCHICAL FINITE STATE MACHINE
Jiman Kim, Daijin Kim, Pohang University of Science and Technology, Korea
ARS-P8.21—PERIMETER-INTRUSION EVENT CLASSIFICATION
FOR ON-LINE DETECTION USING MULTIPLE INSTANCE LEARNING SOLVING TEMPORAL
AMBIGUITIES
Julien Vijverberg, Eindhoven University of Technology & VDG Security BV, The Netherlands; Roel Janssen, Remco de Zwart, Siqura B. V., The Netherlands; Peter de With, Eindhoven University of Technology, The Netherlands
ARS-P8.22—“CLUSTERING BY SALIENCY”—UNSUPERVISED DISCOVERY OF CROWD ACTIVITIES
Tingting Han, Hongxun Yao, Xiaoshuai Sun, Yanhao Zhang, Harbin Institute of Technology, P.R. China
ARS-P8.23—EXPLOITING LOW-RANK STRUCTURES FROM CROSS-CAMERA IMAGES FOR ROBUST PERSON RE-IDENTIFICATION
Ming-Hang Fu, Yu-Chiang Wang, Chu-Song Chen, Academia Sinica, Taiwan
ARS-P8.24—FIRST-PERSON MULTIPLE OBJECT TRACKING IN COMPLEX TRAFFIC SCENES
Tingting Jiang, Zhao Zhang, Yuansheng Xu, Yichong Bai, Yizhou Wang, Peking University, P.R. China
ARS-P8.25—PERSON RE-IDENTIFICATION BY FREE ENERGY SCORE SPACE ENCODING
Yanna Zhao, Shandong University, P.R. China; Xu Zhao, Yuncai Liu, Shanghai Jiao Tong University, P.R. China
ARS-P8.26—A PERSON RE-IDENTIFICATION ALGORITHM BASED ON COLOR TOPOLOGY
Guodong Zeng, Hai-Miao Hu, Yanbing Geng, Chi Zhang, Beihang University, P.R. China
ARS-P8.27—FOUNDATIONAL METADATA FOR IMAGE BASED COGNITION
Gary Viviani, Insitu (A Boeing Company), USA; Ed Delp, Purdue University, USA
ARS-P8.28—PEDESTRIAN DETECTION FROM SALIENT REGIONS
Xiao Wang, Jun Chen, Wenhua Fang, Chao Liang, Wuhan University, P.R. China; Chunjie Zhang, University of Chinese Academy of Sciences, P.R. China; Ruimin Hu, Wuhan University, P.R. China
ARS-P8.29—PEDESTRIAN DETECTION USING MIXED PARTIAL DERIVATIVE BASED HISTOGRAM OF ORIENTED GRADIENTS
Ali Mahmoud, Ahmed EL-Barkouky, James Graham, Aly Farag, University of Louisville, USA
ARS-P8.30—MOVING TARGETS DETECTION FROM UAV BASED ON A ROBUST REAL-TIME IMAGE REGISTRATION ALGORITHM
Mathieu Pouzet, University of Versailles Saint Quentin & Effidence, France; Patrick Bonnin, University of Versailles, France; Jean Laneurit, Cedric Tessier, Effidence, France
COM-P1: Multimedia Communication
Wednesday 10:30–12:30; Poster Session; Poster Area C
COM-P1.1—PERCEPTUAL PRE-PROCESSING FILTER FOR ADAPTIVE VIDEO ON DEMAND CONTENT DELIVERY
Rahul Vanam, Louis Kerofsky, Yuriy Reznik, InterDigital, USA
COM-P1.2—AN ERROR-BASED RECURSIVE FILLING ORDERING FOR IMAGE ERROR CONCEALMENT
Jan Koloda, University of Granada, Spain; Jürgen Seiler, Andre Kaup, University of Erlangen-Nuremberg, Germany; Victoria Sanchez, Antonio Peinado, University of Granada, Spain
COM-P1.3—ROBUST AND EFFICIENT SAR IMAGE CODING TRANSMISSION
Xingsong Hou, Wenwen Tian, Xi’an Jiaotong University, P.R. China; Chen Gong, University of Science and Technology of China, P.R. China
COM-P1.4—JOINT SOURCE AND CHANNEL CODING OF VIEW AND RATE SCALABLE MULTI-VIEW VIDEO
Jacob Chakareski, University of Alabama, USA; Vladan Velisavljevi?, University of Bedfordshire, United Kingdom; Vladimir Stankovic, University of Strathclyde, United Kingdom
COM-P1.5—ADAPTIVE 3D MULTI-VIEW VIDEO STREAMING OVER P2P NETWORKS
Cagri Ozcinar, Erhan Ekmekcioglu, University of Surrey, United Kingdom; Ahmet Kondoz, Loughborough University, United Kingdom
COM-P1.6—ADAPTIVE VIDEO TRANSMISSION WITH SUBJECTIVE QUALITY CONSTRAINTS
Chao Chen, University of Texas at Austin, USA; Xiaoqing Zhu, Cisco Systems, USA; Gustavo de Veciana, Alan Bovik, Robert Heath, University of Texas at Austin, USA
COM-P1.7—PROXIMATE CONTROL STREAM ASSISTED VIDEO TRANSCODING FOR HETEROGENEOUS CONTENT DELIVERY NETWORK
Xuebin Zhang, Rensselaer Polytechnic Institute, USA; Yiran Li, Qualcomm, USA; Jiangpeng Li, Shanghai Jiao Tong University, P.R. China; Kai Zhao, Tong Zhang, Rensselaer Polytechnic Institute, USA
COM-P1.8—CAMERA VIEWPOINT CHANGE DETECTION FOR INTERACTION ANALYSIS IN TV SHOWS
Bo Zhang, Nicola Conci, Francesco De Natale, University of Trento, Italy
COM-P1.9—ENHANCED SPATIO-TEMPORAL VIDEO COPY DETECTION BY COMBINING TRAJECTORY AND SPATIAL CONSISTENCY
Savas Ozkan, Ersin Esen, TUBITAK UZAY, Turkey; Gozde Akar, Middle East Technical University, Turkey
COM-P1.10—SHOULD WE DISCARD SPARSE OR INCOMPLETE VIDEOS?
Chuan Sun, Hassan Foroosh, University of Central Florida, USA
COM-P1.11—FAST QUADTREE LEVEL DECISION ALGORITHM FOR H.264/HEVC TRANSCODER
Antonio Jesús Díaz Honrubia, Jose Luis Martinez, José Puerta, Jose Gamez, University of Castilla-La Mancha, Spain; Jan De Cock, Ghent University – iMinds, Belgium; Pedro Cuenca, University of Castilla-La Mancha, Spain
COM-P1.12—HIGH QUALITY IMAGE RECONSTRUCTION VIA NON-LOCAL COLLABORATIVE ESTIMATION FOR WIRELESS IMAGE/VIDEO SOFTCAST
Ruiqin Xiong, Jian Zhang, Peking University, P.R. China; Feng Wu, Microsoft Research Asia, P.R. China; Wen Gao, Peking University, P.R. China
COM-P1.13—EFFICIENT TRANSCODING FOR SPATIALLY MISALIGNED COMPOSITIONS FOR HEVC
Johan De Praeter, Jan De Cock, Glenn Van Wallendael, Sebastiaan Van Leuven, Peter Lambert, Rik Van de Walle, Ghent University – iMinds, Belgium
COM-P1.14—A FAST HEVC TRANSCODER BASED ON CONTENT MODELING AND EARLY TERMINATION
Eduardo Peixoto, Bruno Macchiavello, Edson Hung, Ricardo de Queiroz, University of Brasil, Brazil
COM-P1.15—FAST MOTION ESTIMATION FOR CLOSED-LOOP HEVC TRANSRATING
Luong Pham Van, Jan De Cock, Ghent University – iMinds, Belgium; Antonio Jesús Díaz Honrubia, University of Castilla-La Mancha, Spain; Glenn Van Wallendael, Sebastiaan Van Leuven, Rik Van de Walle, Ghent University – iMinds, Belgium
COM-P1.16—COMBINING COMPUTER VISION AND VIDEO PROCESSING TO ACHIEVE IMMERSIVE MOBILE VIDEOCONFERENCING
Jorge Caviedes, Sin Lin Wu, Intel Corporation, USA
COM-P1.17—JUMPING PHOTOS
Cecilia Garcia, Jean-Charles Bazin, Marcel Lancelle, Markus Gross, ETH Zurich, Switzerland
COM-P1.18—A STEREO CLIENT USING OPEN SVC DECODER EXTENSIONS: QOE PERFORMANCE EVALUATION
George Papadogiannopoulos, Tasos Dagiuklas, Ilias Politis, Hellenic Open University & University of Patras, Greece; Asimakis Lykourgiotis, University of Patras, Greece
COM-P1.19—A 3D MAP AUGMENTED PHOTO GALLERY APPLICATION ON MOBILE DEVICE
Junsheng Fu, Nokia Research Center, Tampere University of Technology, Finland; Lixin Fan, Kimmo Roimela, Yu You, Ville Mattila, Nokia Research Center, Finland
COM-P1.20—SELECTIVE MOTION VECTOR REDUNDANCIES FOR IMPROVED ERROR RESILIENCE IN HEVC
Joao Carreira, University of Surrey & Polytechnic Institute of Leiria, Portugal; Erhan Ekmekcioglu, Ahmet Kondoz, University of Surrey, United Kingdom; Pedro Assuncao, Sérgio Faria, Polytechnic Institute of Leiria, Portugal; Varuna De Silva, Apical Ltd, United Kingdom
ELI-P3: Image Scanning and Printing
Wednesday 10:30–12:30; Poster Session; Poster Area D
ELI-P3.1—SHARPNESS-AWARE DOCUMENT IMAGE MOSAICING USING GRAPHCUTS
Sungmin Eum, University of Maryland College Park, USA; David Doermann, University of Maryland Institute for Advanced Computer Studies, USA
ELI-P3.2—COLOR FEATURES FOR DATING HISTORICAL COLOR IMAGES
Basura Fernando, Katholieke Universiteit Leuven, Belgium; Damien Muselet, Université Jean Monnet, France; Rahat Khan, University of Auvergne, France; Tinne Tuytelaars, Katholieke Universiteit Leuven, Belgium
ELI-P3.3—USING PYRAMID OF HISTOGRAM OF ORIENTED GRADIENTS ON NATURAL SCENE TEXT RECOGNITION
Zhi Rong Tan, Shangxuan Tian, Chew Lim Tan, National University of Singapore, Singapore
ELI-P3.4—A NOVEL APPROACH FOR COLOR BARCODE DECODING USING SMART PHONES
Homayoun Bagherinia, Roberto Manduchi, University of California Santa Cruz, USA
ELI-P3.5—HANDWRITTEN WORD SPOTTING BASED ON A HYBRID OPTIMAL DISTANCE
Peng Wang, University Jean Monnet Saint Etienne, France; Veronique Eglin, INSA-Lyon, France; Christine Largeron, University Jean Monnet Saint Etienne, LAHC, France; Christophe Garcia, INSA-Lyon, France
ELI-P3.6—CONTEXT-DEPENDENT BLSTM MODELS. APPLICATION TO OFFLINE HANDWRITING RECOGNITION
Youssouf Chherawala, Partha Roy, Mohamed Cheriet, Ecole de Technologie Supérieure, Canada
ELI-P3.7—BAG OF FEATURES APPROACH FOR OFFLINE TEXT-INDEPENDENT CHINESE WRITER IDENTIFICATION
Yongjie Hu, Wenming Yang, Youbin Chen, Tsinghua University, P.R. China
ELI-P3.8—3D RECTIFICATION OF DISTORTED DOCUMENT IMAGE BASED ON TILED RECTANGLE FRAGMENTS
Masahiro Hirano, Yoshihiro Watanabe, Masatoshi Ishikawa, University of Tokyo, Japan
ELI-P3.9—IMAGE CHARACTER RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORK LEARNED FROM DIFFERENT LANGUAGES
Jinfeng Bai, Zhineng Chen, Bailan Feng, Bo Xu, Institute of Automation, Chinese Academy of Sciences, P.R. China
ELI-P3.10—THE ZONEMAP METRIC FOR PAGE SEGMENTATION AND AREA CLASSIFICATION IN SCANNED DOCUMENTS
Olivier Galibert, Juliette Kahn, Ilya Oparin, LNE, Laboratoire National de Métrologie et d’Essais, France
ELI-P3.11—A MORPHOLOGICAL METHOD FOR MUSIC SCORE STAFF REMOVAL
Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France
ELI-P3.12—LEARNING TO REMOVE STAFF LINES FROM MUSIC SCORE IMAGES
Igor Montagner, Roberto Hirata Jr., Nina Hirata, University of São Paulo, Brazil
ELI-P3.13—BINARY TEXT IMAGE FILE PREPROCESSING TO ACCOUNT FOR PRINTER DOT GAIN
Lu Zhang, Purdue University, USA; Alex Veix, Hewlett-Packard Scitex, Ltd., Israel; Robert Ulichney, Hewlett Packard, USA; Jan Allebach, Purdue University, USA
ELI-P3.14—A DEEP LEARNING APPROACH TO DOCUMENT IMAGE QUALITY ASSESSMENT
Le Kang, Peng Ye, University of Maryland, College Park, USA; Yi Li, National ICT Australia, Australia; David Doermann, University of Maryland Institute for Advanced Computer Studies, USA
ELI-P3.15—SEMANTICALLY-BASED 2.5D TEXTURE PRINTING
Jianyu Wang, Jan Allebach, Purdue University, USA; Maria Ortiz Segovia, OCE Print Logic Technologies, France
ELI-P3.16—ESTIMATING EMBEDDED DATA FROM CLUSTERED HALFTONE DOTS VIA LEARNED DICTIONARY
Chang-Hwan Son, Sungkyunkwan University, Korea
ELI-P3.17—AN IMPROVED ERROR DIFFUSION ALGORITHM BASED ON VISUAL DIFFERENCE
Xiaoguo Shi, Xueqing Li, Shandong University, P.R. China
ELI-P3.18—A PRECISE SKEW ESTIMATION ALGORITHM FOR DOCUMENT IMAGES USING KNN CLUSTERING AND FOURIER TRANSFORM
Jonathan Fabrizio, EPITA Research & Development Laboratory (LRDE), France
TEC-P5: Classification of Medical Images
Wednesday 10:30–12:30; Poster Session; Poster Area A
TEC-P5.1—A COLOR TEXTURE ANALYSIS METHOD BASED ON A GRAVITATIONAL APPROACH FOR CLASSIFICATION OF THE PAP-SMEAR DATABASE
Jarbas Sá Junior, Federal University of Ceará, Brazil; André Backes, Federal University of Uberlândia, Brazil
TEC-P5.2—THE MS KINECT IMAGE AND DEPTH SENSORS USE FOR GAIT FEATURES DETECTION
Ales Prochazka, Martin Schatz, Ondrej Tupa, Mohammadreza Yadollahi, Institute of Chemical Technology in Prague, Czech Republic; Oldrich Vysata, Martin Valis, Charles University, Czech Republic
TEC-P5.3—A SEMANTIC FRAMEWORK FOR THE RETRIEVAL OF SIMILAR RADIOLOGICAL IMAGES BASED ON MEDICAL ANNOTATIONS
Camille Kurtz, University Paris Descartes & LIPADE Laboratory (EA 2517), France; Adrien Depeursinge, Christopher Beaulieu, Daniel Rubin, Stanford University, USA
TEC-P5.4—UPPER LIMB MOVEMENT ANALYSIS VIA MARKER TRACKING WITH A SINGLE-CAMERA SYSTEM
Cheng Yang, Andrew Kerr, Vladimir Stankovic, Lina Stankovic, Philip Rowe, University of Strathclyde, United Kingdom
TEC-P5.5—RETRIEVAL OF PATHOLOGY IMAGE FOR BREAST CANCER USING PLSA MODEL BASED ON TEXTURE AND PATHOLOGICAL FEATURES
Zheng Yushan, Zhiguo Jiang, Jun Shi, Ma Yibing, Beihang University, P.R. China
TEC-P5.6—PERFORMANCE ANALYSIS OF UNCONVENTIONAL DICTIONARY ON RETINAL IMAGES
Damber Thapa, University of Waterloo, Canada; Kaamran Raahemifar, Ryerson University, Canada; Vasudevan Lakshminarayanan, University of Waterloo, Canada
TEC-P5.7—SHAPE AND SIZE ADAPTED LOCAL FRACTAL DIMENSION FOR THE CLASSIFICATION OF POLYPS IN HD COLONOSCOPY
Andreas Uhl, Georg Wimmer, University of Salzburg, Austria; Michael Häfner, St. Elisabeth Hospital, Austria
TEC-P5.8—A TEXTURE-BASED PROBABILITY MAPPING FOR
LOCALISATION OF CLINICALLY IMPORTANT CARDIAC SEGMENTS IN THE MYOCARDIUM
IN CARDIAC MAGNETIC RESONANCE IMAGES FROM MYOCARDIAL INFARCTION PATIENTS
Trygve Eftestøl, Frode Måløy, Kjersti Engan, University of Stavanger, Norway; Lasya Kotu, SAAB, Norway; Leik Woie, Stein Ørn, Stavanger University Hospital, Norway
TEC-P5.9—CLASSIFICATION OF CARDIAC MAGNETIC RESONANCE IMAGE TYPE AND ORIENTATION
Mai Wael, Ahmed Fahmy, Nile University, Egypt
TEC-P5.10—A STATISTICAL FRAMEWORK FOR THE CLASSIFICATION OF INFANT DT IMAGES
Mahmoud Mostapha, University of Louisville, USA; Ahmed Soliman, University of Louisville & Mansoura University, USA; Fahmi Khalifa, Ahmed Elnakib, Amir Alansary, Matthew Nitzken, Manuel Casanova, Ayman El-Baz, University of Louisville, USA
TEC-P5.11—ULTRASOUND TISSUE CHARACTERIZATION BY GENERALIZED GAMMA MRF MODEL
Bouhlel Nizar, Univ Tunis El Manar & National Engineering School of Tunis, Tunisia; Pascal Laugier, Université Paris 6, France
TEC-P5.12—AUTOMATIC LESION DETECTION IN WIRELESS CAPSULE ENDOSCOPY – A SIMPLE SOLUTION FOR A COMPLEX PROBLEM
Dimitris Iakovidis, Technological Educational Institute of Central Greece, Greece; Anastasios Koulaouzidis, The Royal Infirmary of Edinburgh, Edinburgh, Greece
TEC-P5.13—COMPUTER-AIDED DIAGNOSTIC FOR PROSTATE
CANCER DETECTION AND CHARACTERIZATION COMBINING LEARNED DICTIONARIES AND
SUPERVISED CLASSIFICATION
Jerome Lehaire, Université de Lyon & CREATIS, France; Rémi Flamary, Université de Nice Sophia-Antipolis & Laboratoire Lagrange, UMR CNRS, France; Olivier Rouviere, Edouard Herriot Hospital, France; Carole Lartizien, Université de Lyon & CREATIS, France
TEC-P5.14—OPTIMAL SET OF FEATURES FOR ACCURATE SKIN CANCER DIAGNOSIS
Mutlu Mete, Nikolay Sirakov, TAMU-Commerce, USA
TEC-P5.15—ADABOOST WITH DUMMY-VARIABLE MODELING FOR REDUCTION OF FALSE POSITIVES IN DETECTION OF CLUSTERED MICROCALCIFICATIONS
Juan Wang, Yongyi Yang, Illinois Institute of Technology, USA
TEC-P5.16—SVM WITH FEATURE SELECTION AND SMOOTH PREDICTION IN IMAGES: APPLICATION TO CAD OF PROSTATE CANCER
Emilie Niaf, A*STAR-NUS Clinical Imaging Research Centre, Singapore; Rémi Flamary, Université de Nice Sophia-Antipolis & Laboratoire Lagrange, UMR CNRS, France; Alain Rakotomamonjy, Perception, Systemes et Information, Insa de Rouen, France; Olivier Rouviere, Edouard Herriot Hospital, France; Carole Lartizien, Université de Lyon & CREATIS, France
TEC-P5.17—A DEPTH-MAP APPROACH FOR AUTOMATIC MICE BEHAVIOR RECOGNITION
João Monteiro, Helder Oliveira, INESC TEC, Portugal; Paulo Aguiar, University of Porto, Portugal; Jaime Cardoso, INESC TEC & Universidade do Porto, Portugal
TEC-P5.18—WAVELET-BASED STATISTICAL FEATURES FOR DISTINGUISHING MITOTIC AND NON-MITOTIC CELLS IN BREAST CANCER HISTOPATHOLOGY
Tao Wan, Xu Liu, Beihang University, P.R. China; Jianhui Chen, No 91 Central Hospital of PLA, P.R. China; Zengchang Qin, Beihang University, P.R. China
TEC-P6: Denoising
Wednesday 10:30–12:30; Poster Session; Poster Area E
TEC-P6.1—BLIND FULL REFERENCE QUALITY ASSESSMENT OF POISSON IMAGE DENOISING
Chen Zhang, Keigo Hirakawa, University of Dayton, USA
TEC-P6.2—ADAPTIVE REGULARIZATION OF THE NL-MEANS FOR VIDEO DENOISING
Camille Sutour, Jean Francois Aujol, Charles-Alban Deledalle, Jean-Philippe Domenger, Université de Bordeaux, France
TEC-P6.3—MOTION BLUR RESISTANT METHOD FOR TEMPORAL VIDEO DENOISING
Meisam Rakhshanfar, Aishy Amer, Concordia University, Canada
TEC-P6.4—IMAGE DENOISING USING CONTEXTUAL MODELING OF CURVELET COEFFICIENTS
Razmig Kechichian, Grenoble INP & GIPSA-lab, France; Carole Amiot, Catherine Girard, Jeremie Pescatore, Thales, France; Jocelyn Chanussot, Grenoble Institute of Technology, France; Michel Desvignes, GRENOBLE-INP, France
TEC-P6.5—STRATEGIC IMAGE DENOISING USING A SUPPORT VECTOR MACHINE WITH SEAM ENERGY AND SALIENCY FEATURES
Laura McCrackin, Shahram Shirani, McMaster University, Canada
TEC-P6.6—ANISOTROPIC COLOR IMAGE DENOISING AND SHARPENING
Salim Bettahar, University of Sciences and Technology of Oran, Algeria; Patrick Lambert, University of Savoie, France; Amine Boudghene Stambouli, University of Sciences and Technology of Oran, Algeria
TEC-P6.7—NOISE BIAS COMPENSATION OF TONE MAPPED NOISY IMAGE
Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
TEC-P6.8—NONLOCAL IMAGE DENOISING VIA COLLABORATIVE SPATIAL-DOMAIN LMMSE ESTIMATION
Bo Wang, Zixiang Xiong, Texas A&M University, USA; Dongqing Zhang, Heather Yu, Huawei Research, USA
TEC-P6.9—SIGNAL DEPENDENT NOISE REMOVAL FROM A SINGLE IMAGE
Xinhao Liu, Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan
TEC-P6.10—DENOISING BASED ON NON LOCAL MEANS FOR ULTRASOUND IMAGES WITH SIMULTANEOUS MULTIPLE NOISE DISTRIBUTIONS
Denis Salvadeo, São Paulo State University, Brazil; Isabelle Bloch, Florence Tupin, Télécom ParisTech, France; Nelson Mascarenhas, Alexandre Levada, Federal University of São Carlos, Brazil; Charles-Alban Deledalle, Université de Bordeaux, France; Sonia Dahdouh, Télécom ParisTech, France
TEC-P6.11—IMAGE NOISE LEVEL ESTIMATION BASED ON A NEW ADAPTIVE SUPERPIXEL CLASSIFICATION
Peng Fu, Nanjing University of Science and Technology & University of Sydney, P.R. China; Changyang Li, University of Sydney, Australia; Quansen Sun, Nanjing University of Science and Technology, P.R. China; Weidong Cai, University of Sydney, Australia; David Feng, University of Sydney & Hong Kong Polytechnic University, Australia
TEC-P6.12—HANDLING NOISE IN IMAGE DECONVOLUTION WITH LOCAL/NON-LOCAL PRIORS
Hicham Badri, Hussein Yahia, INRIA Bordeaux Sud-Ouest, France
TEC-P6.13—FAST LOG-GABOR-BASED NONLOCAL MEANS IMAGE DENOISING METHODS
Song Zhang, Huajiong Jing, Hangzhou Dianzi University, P.R. China
TEC-P6.14—THE NOISE CLINIC: A UNIVERSAL BLIND DENOISING ALGORITHM
Marc Lebrun, Ecole Normale Supérieure de Cachan, France; Miguel Colom, Universitat de les Illes Balears, Spain; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France
TEC-P6.15—DENOISING USING PROJECTIONS ONTO THE EPIGRAPH SET OF A CONVEX COST FUNCTION
Mohammad Tofighi, Bilkent University, Turkey; Kivanc Kose, Memorial Sloan Kettering Cancer Center, USA; A. Enis Cetin, Bilkent University, Turkey
TEC-P6.16—CAN A SINGLE IMAGE DENOISING NEURAL NETWORK HANDLE ALL LEVELS OF GAUSSIAN NOISE?
Yi-Qing Wang, Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France
TEC-P6.17—A NONLOCAL POISSON DENOISING ALGORITHM BASED ON STOCHASTIC DISTANCES
André Bindilatti, Nelson Mascarenhas, Federal University of São Carlos, Brazil
TEC-P6.18—REGULARISED, SEMI-LOCAL HURST ESTIMATION VIA GENERALISED LASSO AND DUAL-TREE COMPLEX WAVELETS
Corina Nafornita, Alexandru Isar, Politehnica University of Timisoara, Romania; James Nelson, University College London, United Kingdom
TEC-P6.19—FRACTIONAL CYCLE SPINNING VIA MODULATED LAPPED TRANSFORM FOR OVERCOMPLETE IMAGE REPRESENTATION
Seisuke Kyochi, The University of Kitakyushu, Japan; Masaaki Ikehara, Keio University, Japan
ST1.1—A SMARTPHONE APPLICATION FOR REMOVING HANDSHAKE BLUR AND COMPENSATING ROLLING SHUTTER
Ondrej Sindelar, Filip Šroubek, Institute of Information Theory and Automation, Czech Republic; Peyman Milanfar, University of California, Santa Cruz, USA
ST1.2—A PORTABLE REAL-TIME HIGH-DYNAMIC RANGE VIDEO SYSTEM
Salvador Garcia Bernal, Guoping Qiu, University of Nottingham, United Kingdom
ST1.3—REVERIE: NATURAL HUMAN INTERACTION IN VIRTUAL IMMERSIVE ENVIRONMENTS
Julie Wall, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom; Lemonia Argyriou, CTVC Ltd, United Kingdom; David Monaghan, Noel. E. O’Connor, Dublin City University, Ireland; Steven Poulakos, Aljosa Smolic, Disney Research Zurich, Switzerland; Rufael Mekuria, Centrum Wiskunde Informatica, The Netherlands
ST1.4—DUAL-VIEW MEDICAL IMAGE VISUALIZATION BASED ON SPATIAL-TEMPORAL PSYCHOVISUAL MODULATION
Zhongpai Gao, Guangtao Zhai, Chunjia Hu, Xiongkuo Min, Shanghai Jiao Tong University, P.R. China
ST1.5—HARMONY-GUIDED IMAGE EDITING
Christel Chamaret, Fabrice Urban, Technicolor, France; Lionel Oisel, Thomson, France
ST1.6—SNOW PHENOMENA MODELING THROUGH ONLINE PUBLIC MEDIA
Roman Fedorov, Piero Fraternali, Marco Tagliasacchi, Politecnico di Milano, Italy
ST1.7—INFORMATION OPTIMAL SCALABLE COMPRESSIVE IMAGER DEMONSTRATOR
Ronan Kerviche, Nan Zhu, Amit Ashok, University of Arizona, USA
ST1.8—INTERACTIVE DEMONSTRATIONS OF THE LOCALLY ADAPTIVE FUSION FOR COMBINING QUALITY MEASURES
Adriaan Barri, Ann Dooms, Peter Schelkens, Vrije Universiteit Brussel, Belgium
ST1.9—QUASAR – A NEW HETEROGENEOUS PROGRAMMING FRAMEWORK FOR IMAGE AND VIDEO PROCESSING ALGORITHMS ON CPU AND GPU
Bart Goossens, Jonas De Vylder, Wilfried Philips, Ghent University, Belgium
ST1.10—UNIFIED REAL TIME SOFTWARE DECODER FOR HEVC EXTENSIONS
Benoit Martin, Wassim Hamidouche, INSA de Rennes, France; Jean Le Feuvre, Télécom ParisTech, France; Mickael Raulet, INSA de Rennes, France
ST1.11—OPEN SOURCE HEVC ANALYZER FOR RAPID PROTOTYPING (HARP)
Dominic Springer, Wolfgang Schnurrer, Andreas Weinlich, Andreas Heindel, Jürgen Seiler, Andre Kaup, University of Erlangen-Nuremberg, Germany
ST2.1—LIGHTWEIGHT FORENSIC VIDEO WATERMARKING TO ENABLE PREMIUM CONTENT CONSUMPTION ON MOBILE DEVICES
Antoine Robert, Gwenaël Doërr, Technicolor R&D, France
ST2.2—SCALABLE, SELF-ORGANIZING 3D CAMERA NETWORK FOR NON-INTRUSIVE PEOPLE TRACKING AND COUNTING
Robert Hegner, University of Applied Sciences of Eastern Switzerland in Rapperswil, Switzerland; Andreas Hartmann, ADEC Technologies AG, Switzerland; Thomas Niederberger, Guido Schuster, University of Applied Sciences of Eastern Switzerland in Rapperswil, Switzerland
ST2.3—ENABLING VISUAL ANALYSIS IN WIRELESS SENSOR NETWORKS
Alessandro Redondi, Luca Baroffio, Antonio Canclini, Matteo Cesana, Marco Tagliasacchi, Politecnico di Milano, Italy; György Dán, Viktoria Fodor, Emil Eriksson, KTH Royal Institute of Technology, Sweden; João Ascenso, Pedro Monteiro, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal
ST2.4—DEMONSTRATING THE NEW COMPACT DESCRIPTORS FOR VISUAL SEARCH (CDVS) STANDARD FOR IMAGE RETRIEVAL ON MOBILE DEVICES
Attilio Fiandrotti, Giovanni Ballocca, Sisvel Technology, Italy; Marco Gavelli, Istituto Superiore Mario Boella, Italy; Massimo Mattelliano, Sisvel Technology, Italy; Michele Morello, Istituto Superiore Mario Boella, Italy; Alessandra Mosca, Sisvel Technology, Italy; Paolo Vergori, Istituto Superiore Mario Boella, Italy
ST2.5—A MATLAB IMPLEMENTATION OF A FAST INCREMENTAL PRINCIPAL COMPONENT PURSUIT ALGORITHM FOR VIDEO BACKGROUND MODELING
Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, USA
ST2.6—HUMAN TRACKING & VISUAL SPATIO-TEMPORAL STATISTICAL ANALYSIS
Dimosthenis Ioannidis, Stelios Krinidis, Dimitrios Tzovaras, Information Technologies Institute, Greece; Spyros Likothanassis, University of Patras, Greece
ST2.7—RELIABLE AND CONVENIENT MULTIMODAL BIOMETRIC SYSTEM BASED ON IRIS, FACE & PALM FOR HIGH-THROUGHPUT RECOGNITION
Abhishek Gangwar, Akanksha Joshi, Ashutosh Singh, Zia Saquib, Centre for Development of Advanced Computing, India
ST2.8—SCRAMBLING-BASED TOOL FOR SECURE PROTECTION OF JPEG IMAGES
Pavel Korshunov, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland
ST2.9—LIGHTWEIGHT MOBILE OBJECT RECOGNITION
Peter Kiss, Agnes Lipovits, Monika Gal, University of Pannonia, Hungary
ST2.10—SENSAREA, A GENERAL PUBLIC VIDEO EDITING APPLICATION
Pascal Bertolino, Grenoble Alpes University, France
ST2.11—A REAL-TIME CIPHERING TRANSCODER FOR H.264 AND HEVC STREAMS
Benoit Boyadjis, Marc-Emmanuel Perrin, Cyril Bergeron, Sébastien Lecomte, Thales Communications and Security, France
ARS-L7: Object Recognition
Wednesday 14:00–16:00; Oral Session; Room: Ampere 1+3
14:00 ARS-L7.1—INCREMENTAL TRANSFER LEARNING FOR OBJECT RECOGNITION IN STREAMING VIDEO
Jongdae Kim, John Collomosse, University of Surrey, United Kingdom
14:20 ARS-L7.2—WEIGHTED BAG OF VISUAL WORDS FOR OBJECT RECOGNITION
Marco San Biagio, Istituto Italiano di Tecnologia, Italy; Loris Bazzani, University of Verona, Italy; Marco Cristani, University of Verona & Istituto Italiano di Tecnologia, Italy; Vittorio Murino, University of Verona, Italy
14:40 ARS-L7.3—UNSUPERVISED DOMAIN ADAPTATION USING MANIFOLD ALIGNMENT FOR OBJECT AND EVENT CATEGORIZATION
Suranjana Samanta, Sukhendu Das, Indian Institute of Technology Madras, India
15:00 ARS-L7.4—ANALYSIS OF FOOD IMAGES: FEATURES AND CLASSIFICATION
Ye He, Chang Xu, Purdue University, USA; Nitin Khanna, Graphic Era University, India; Carol Boushey, University of Hawaii Cancer Center, USA; Ed Delp, Purdue University, USA
15:20 ARS-L7.5—3D OBJECT RETRIEVAL BY 3D CURVE MATCHING
Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, University of Siegen, Germany; Longin Jan Latecki, Temple University, USA
15:40 ARS-L7.6—SCALABLE LEARNING FOR RESTRICTED BOLTZMANN MACHINES
Elnaz Barshan, Paul Fieguth, University of Waterloo, Canada
ELI-L3: Multiview Image Processing
Wednesday 14:00–16:00; Oral Session; Room: Leonard de Vinci
14:00 ELI-L3.1—RECONSTRUCTION OF IMAGES TAKEN BY A PAIR OF NON-REGULAR SAMPLING SENSORS USING CORRELATION BASED MATCHING
Markus Jonscher, Jürgen Seiler, Thomas Richter, Michel Bätz, Andre Kaup, University of Erlangen-Nuremberg, Germany
14:20 ELI-L3.2—INTER-VIEW CONSISTENT HOLE FILLING IN VIEW EXTRAPOLATION FOR MULTI-VIEW IMAGE GENERATION
Soosung Yoon, Sohn Hosik, Yong Ju Jung, Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea
14:40 ELI-L3.3—CORRECTING 3D SCENES ESTIMATED FROM SETS OF MULTI-VIEW IMAGES USING SHAPE-FROM-CONTOURS
Matthew Grum, Adrian Bors, University of York, United Kingdom
15:00 ELI-L3.4—TEMPORAL DEPTH VIDEO ENHANCEMENT BASED ON INTRINSIC STATIC STRUCTURE
Lu Sheng, King Ngan, Songnan Li, Chinese University of Hong Kong, Hong Kong
15:20 ELI-L3.5—WARPING-BASED VIDEO RETARGETING FOR STEREOSCOPIC VIDEO
Stephan Kopf, Benjamin Guthier, Christopher Hipp, Johannes Kiess, Wolfgang Effelsberg, University of Mannheim, Germany
15:40 ELI-L3.6—REGION-BASED DEPTH-PRESERVING STEREOSCOPIC IMAGE RETARGETING
Bing Li, Beijing University, P.R. China; Lingyu Duan, Peking University, P.R. China; Chia-Wen Lin, National Tsing Hua University, Taiwan; Wen Gao, Peking University, P.R. China
SMR-L2: Subspace Representations
Wednesday 14:00–16:00; Oral Session; Room: Dickens 3+4
14:00 SMR-L2.1—KERNEL SPARSE SUBSPACE CLUSTERING
Vishal Patel, University of Maryland, College Park, USA; Rene Vidal, Johns Hopkins University, USA
14:20 SMR-L2.2—SEMI-SUPERVISED SUBSPACE SEGMENTATION
Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan, Chinese Academy of Sciences, P.R. China
14:40 SMR-L2.3—ENDOGENOUS CONVOLUTIONAL SPARSE REPRESENTATIONS FOR TRANSLATION INVARIANT IMAGE SUBSPACE MODELS
Brendt Wohlberg, Los Alamos National Laboratory, USA
15:00 SMR-L2.4—MULTIDATASET INDEPENDENT SUBSPACE ANALYSIS EXTENDS INDEPENDENT VECTOR ANALYSIS
Rogers Silva, University of New Mexico & The Mind Research Network (MRN), USA; Sergey Plis, The Mind Research Network (MRN), USA; Tulay Adali, University of Maryland, Baltimore County, USA; Vince Calhoun, University of New Mexico, USA
15:20 SMR-L2.5—MINIMIZING DATASET BIAS:
DISCRIMINATIVE MULTI-TASK SPARSE CODING THROUGH SHARED SUBSPACE LEARNING
FOR IMAGE CLASSIFICATION
Gaowen Liu, Yan Yan, Jingkuan Song, Nicu Sebe, University of Trento, Italy
15:40 SMR-L2.6—ITERATIVE KEYFRAME SELECTION BY ORTHOGONAL SUBSPACE PROJECTION
Shaohui Mei, Northwestern Polytechnical University, P.R. China; Genliang Guan, The University of Sydney, Australia; Zhiyong Wang, University of Sydney, Australia; Mingyi He, Shuai Wan, Northwestern Polytechnical University, P.R. China; David Feng, University of Sydney & Hong Kong Polytechnic University, Australia
TEC-L5: Classification of Medical Images
Wednesday 14:00–16:00; Oral Session; Room: Ampere 5+6
14:00 TEC-L5.1—DEGRADATION ADAPTIVE TEXTURE CLASSIFICATION
Michael Gadermayr, Andreas Uhl, University of Salzburg, Austria
14:20 TEC-L5.2—IMAGE CLASSIFICATION OF BOWEL ABNORMALITIES AND ISCHEMIA
Tuan Pham, The University of Aizu, Japan; Taichiro Tsunoyama, Teikyo University Hospital, Japan; Truong Cong Thang, The University of Aizu, Japan; Takashi Fujita, Tetsuya Sakamoto, Teikyo University Hospital, Japan
14:40 TEC-L5.3—HELICOBACTER PYLORI INFECTION DETECTION FROM MULTIPLE X-RAY IMAGES BASED ON DECISION LEVEL FUSION
Kenta Ishihara, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
15:00 TEC-L5.4—BRAIN TUMOR CLASSIFICATION USING SPARSE CODING AND DICTIONARY LEARNING
Saif Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn, Leibniz University Hannover, Germany
15:20 TEC-L5.5—A BAYESIAN MODEL FOR BRAIN TUMOR CLASSIFICATION USING CLINICAL-BASED FEATURES
Tomás Martínez Cortés, Miguel Ángel Fernández-Torres, Amaya Jiménez-Moreno, Iván González-Díaz, Fernando Díaz-de-María, Universidad Carlos III, Spain; Juan Adán Guzmán-de-Villoria, PIlar Fernández, Hospital Gregorio Marañón, Spain
15:40 TEC-L5.6—DEEP LEARNING FOR BRAIN DECODING
Orhan Firat, Middle East Technical University, Turkey; Ilke Oztekin, Koc University, Turkey; Fatos Yarman Vural, Middle East Technical University, Turkey
SS4: Photon-Limited Image Reconstruction
Wednesday 14:00–16:00; Oral Session; Room: Dickens 1+2
Session Chairs: Charles-Alban Deledalle, Université de Bordeaux; Joseph Salmon, CNRS-Télécom ParisTech
14:00 SS4.1—ITERATIVE POISSON-GAUSSIAN NOISE PARAMETRIC ESTIMATION FOR BLIND IMAGE DENOISING
Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot, Université Paris-Est, Poland; Caroline Chaux, Aix-Marseille Université & CNRS UMR 7353, France
14:20 SS4.2—GENERALIZED SUBSPACE PURSUIT AND AN APPLICATION TO SPARSE POISSON DENOISING
Francois-Xavier Dupé, Aix-Marseille Université, France; Sandrine Anthoine, CNRS & I2M, France
14:40 SS4.3—TO E OR NOT TO E IN POISSON IMAGE RECONSTRUCTION
Albert Oh, Zachary Harmany, Rebecca Willett, University of Wisconsin-Madison, USA
15:00 SS4.4—APPROXIMATE BAYESIAN COMPUTATION, STOCHASTIC ALGORITHMS AND NON-LOCAL MEANS FOR COMPLEX NOISE MODELS
Charles Kervrann, INRIA, France; Philippe Roudot, INRIA Rennes – Bretange Atlantique, France; François Waharte, Institut Curie, France
15:20 SS4.5—SPARSITY BASED POISSON INPAINTING
Raja Giryes, Michael Elad, Technion, Israel
15:40 SS4.6—SPARSE RECONSTRUCTION FROM MULTIPLE-ANGLE TOTAL INTERNAL REFLECTION FLUORESCENCE MICROSCOPY
Emmanuel Soubies, Université Nice Sophia Antipolis, France; Laure Blanc-Féraud, CNRS, France; Sébastien Schaub, Gilles Aubert, Université Nice Sophia Antipolis, France
SS6: Compact Feature-Based Representation of Visual Content
Wednesday 14:00–16:00; Oral Session; Room: Ampere 7+8
Session Chair: Giuseppe Valenzise, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI
14:00 SS6.1—VIDEO QUERYING VIA COMPACT DESCRIPTORS OF VISUALLY SALIENT OBJECTS
Hassan Mansour, Shantanu Rane, Petros Boufounos, Anthony Vetro, Mitsubishi Electric Research Laboratories, USA
14:20 SS6.2—CODING BINARY LOCAL FEATURES EXTRACTED FROM VIDEO SEQUENCES
Luca Baroffio, Politecnico di Milano, Italy; João Ascenso, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal; Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Politecnico di Milano, Italy
14:40 SS6.3—ROBUST AND SCALABLE AGGREGATION OF LOCAL FEATURES FOR ULTRA LARGE-SCALE RETRIEVAL
Syed Husain, Miroslaw Bober, University of Surrey, United Kingdom
15:00 SS6.4—CAMERA-BASED INDOOR POSITIONING USING SCALABLE STREAMING OF COMPRESSED BINARY IMAGE SIGNATURES
Dominik Opdenbosch, Technische Universität München, Germany; Georg Schroth, Technische Universität München & NavVis GmbH, Germany; Robert Huitl, Sebastian Hilsenbeck, Adrian Garcea, Eckehard Steinbach, Technische Universität München, Germany
15:20 SS6.5—LOCAL VISUAL FEATURES EXTRACTION FROM TEXTURE+DEPTH CONTENT BASED ON DEPTH IMAGE ANALYSIS
Maxim Karpushin, Télécom ParisTech, France; Giuseppe Valenzise, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France; Frederic Dufaux, Télécom ParisTech, France
15:40 SS6.6—LOCAL DESCRIPTIONS FOR HUMAN ACTION RECOGNITION FROM 3D RECONSTRUCTION DATA
Georgios Papadopoulos, Petros Daras, Centre for Research and Technology Hellas, Greece
ARS-P10: Foreground/Background Segregation
Wednesday 14:00–16:00; Poster Session; Poster Area D
ARS-P10.1—OBJECTNESS TO IMPROVE THE BAG OF VISUAL WORDS MODEL
Radu Tudor Ionescu, Marius Popescu, University of Bucharest, Romania
ARS-P10.2—CONFIDENCE-AWARE GUIDED IMAGE FILTER
Jobst Hörentrup, Markus Schlosser, Technicolor Research & Innovation, Germany
ARS-P10.3—ROBOT USERS FOR THE EVALUATION OF BOUNDARY-TRACKING APPROACHES IN INTERACTIVE IMAGE SEGMENTATION
Thiago Vallin Spina, Alexandre Falcão, University of Campinas, Brazil
ARS-P10.4—ONLINE FEATURE SUBSET SELECTION FOR OBJECT TRACKING
Jinwei Yuan, Farokh Bastani, University of Texas at Dallas, USA
ARS-P10.5—DETECTING DEFECTS IN REPEATEDLY PATTERNED IMAGE WITH SPATIALLY DIFFERENT LEVEL OF NOISE
Deokyoung Kang, Hae-na Lee, Suk Yoo, Seoul National University, Korea
ARS-P10.6—SALIENCY DETECTION VIA FOREGROUND RENDERING AND BACKGROUND EXCLUSION
Yijun Li, Keren Fu, Zhou Lei, Yu Qiao, Jie Yang, Shanghai Jiao Tong University, P.R. China
ARS-P10.7—A MULTISCALE SPATIO-TEMPORAL BACKGROUND MODEL FOR MOTION DETECTION
Xiqun Lu, Zhejiang University, P.R. China
ARS-P10.8—IMAGE SEGMENTATION USING CONSENSUS FROM HIERARCHICAL SEGMENTATION ENSEMBLES
Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Lawrence Livermore National Laboratory, USA
ARS-P10.9—AUTOMATIC IMAGE CO-SEGMENTATION USING GEOMETRIC MEAN SALIENCY
Koteswar Jerripothula, Jianfei Cai, Nanyang Technological University, Singapore; Fanman Meng, University of Electronic Science and Technology of China, P.R. China; Junsong Yuan, Nanyang Technological University, Singapore
ARS-P10.10—PID-BASED REGULATION OF BACKGROUND DYNAMICS FOR FOREGROUND SEGMENTATION
Philipp Tiefenbacher, Martin Hofmann, Daniel Merget, Gerhard Rigoll, Technische Universität München, Germany
ARS-P10.11—FIGURE/GROUND VIDEO SEGMENTATION USING GREEDY TRANSDUCTIVE COSEGMENTATION
Zhihui Fu, Hongkai Xiong, Shanghai Jiao Tong University, P.R. China
ARS-P10.12—SALIENT OBJECT DETECTION USING OCTONION WITH BAYESIAN INFERENCE
Hong-Yun Gao, Kin-Man Lam, Hong Kong Polytechnic University, Hong Kong
ARS-P10.13—SALIENT-REGION DETECTION IN A MULTI-LEVEL FRAMEWORK OF IMAGE SMOOTHING WITH OVER-SEGMENTATION
Hong-Yun Gao, Kin-Man Lam, Hong Kong Polytechnic University, Hong Kong
ARS-P10.14—SALIENCY DETECTION USING REGRESSION TREES ON HIERARCHICAL IMAGE SEGMENTS
Gökhan Yildirim, Appu Shaji, Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne, Switzerland
ARS-P10.15—ROBUST 3D SFS RECONSTRUCTION BASED ON RELIABILITY MAPS
Jaime Gallego Vila, Montse Pardas, Technical University of Catalonia, Spain
ARS-P10.16—FOREGROUND OBJECT SEGMENTATION FOR MOVING
CAMERA SEQUENCES BASED ON FOREGROUND-BACKGROUND PROBABILISTIC MODELS AND
PRIOR PROBABILITY MAPS
Jaime Gallego Vila, Technical University of Catalonia, Spain; Pascal Bertolino, Grenoble Alpes University, France
ARS-P10.17—NATURAL IMAGE MATTING VIA ADAPTIVE LOCAL AND NONLOCAL SAMPLE CLUSTERING
Haiyan Yang, Oscar Au, Yuan Yuan, Wenxiu Sun, Yonggen Ling, Jiahao Pang, Hong Kong University of Science and Technology, Hong Kong
ARS-P10.18—MULTIVIEW FOREGROUND SEGMENTATION USING 3D PROBABILISTIC MODEL
Jaime Gallego Vila, Montse Pardas, Technical University of Catalonia, Spain
ARS-P10.19—AN ADAPTIVE TRANSFER SCHEME BASED ON SPARSE REPRESENTATION FOR FIGURE-GROUND SEGMENTATION
Xianyan Wu, Qi Han, Xiamu Niu, Harbin Institute of Technology, P.R. China
ARS-P11: Pose Estimation
Wednesday 14:00–16:00; Poster Session; Poster Area E
ARS-P11.1—JOINT ESTIMATION OF HEAD POSE AND VISUAL FOCUS OF ATTENTION
Yingning Huang, Dingrui Duan, Jinshi Cui, Peking University, P.R. China; Franck Davoine, CNRS, P.R. China; Li Wang, Hongbin Zha, Peking University, P.R. China
ARS-P11.2—3D-FERNS+: VIEWPOINT-BASED KEYPOINT CLASSIFIER FOR ROBUST 3D OBJECT POSE DETECTION
Tatsuya Kobayashi, Haruhisa Kato, Hiromasa Yanagihara, KDDI R&D Laboratories, Japan
ARS-P11.3—ROBUST FACE POSE CLASSIFICATION METHOD BASED ON GEOMETRY-PRESERVING VISUAL PHRASE
Wei Wei, Northwestern Polytechnical University, P.R. China; Chunna Tian, Xidian University, P.R. China; Yanning Zhang, Northwestern Polytechnical University, P.R. China
ARS-P11.4—HIERARCHICAL GAZE ESTIMATION BASED ON ADAPTIVE FEATURE LEARNING
Xiying Wang, Kang Xue, Samsung R&D Institute China, P.R. China; Dongkyung Nam, Jae-Joon Han, Samsung Advanced Institute of Technology, Korea; Haitao Wang, Samsung R&D Institute China, P.R. China
ARS-P11.5—MAPPING AND RE-LOCALIZATION FOR MOBILE AUGMENTED REALITY
Pierre Martin, IRISA, France; Eric Marchand, IRISA – INRIA Rennes, France; Pascal Houlier, Isabelle Marchal, Orange, France
ARS-P11.6—AUTOMATIC AND ROBUST HEAD POSE ESTIMATION BY BLOCK ENERGY MAP
Wei Li, Yan Huang, Jingliang Peng, Shandong University, P.R. China
ARS-P11.7—GLOBAL MOTION ESTIMATION FROM RELATIVE MEASUREMENTS USING ITERATED EXTENDED KALMAN FILTER ON MATRIX LIE GROUPS
Guillaume Bourmaud, Rémi Mégret, Audrey Giremus, Yannick Berthoumieu, University of Bordeaux, France
ARS-P11.8—SHADOW ANALYSIS FOR CAMERA HEADING IN IMAGE GEO-LOCALIZATION
Matthew Clements, Avideh Zakhor, University of California at Berkeley, USA
ARS-P11.9—DIRECTIONAL CHAMFER MATCHING IN 2.5 DIMENSIONS
Prabhu Kaliamoorthi, Ramakrishna Kakarala, Nanyang Technological University, Singapore
ARS-P11.10—ORIENTATION ESTIMATION FOR PLANAR TEXTURED SURFACES BASED ON COMPLEX WAVELETS
Nantheera Anantrasirichai, Jeremy Burn, David Bull, University of Bristol, United Kingdom
ARS-P11.11—LYING-POSE DETECTION WITH TRAINING DATASET EXPANSION
Dao-Xun Xia, Song-Zhi Su, Shaozhi Li, Xiamen University, P.R. China; Pierre-Marc Jodoin, University of Sherbrooke, Canada
ARS-P11.12—SEMI-SUPERVISED LEARNING OF SPARSE REPRESENTATIONS TO RECOGNIZE PEOPLE SPATIAL ORIENTATION
Nicoletta Noceti, Università di Genova, Italy; Francesca Odone, Universita’ di Genova, Italy
ARS-P11.13—EFFICIENT 2D HUMAN POSE ESTIMATION USING MEAN-SHIFT
Abdul Rafay Khalid, Ali Hassan, Murtaza Taj, Lahore University of Management Sciences, Pakistan
ARS-P11.14—MULTI-LAYER TEMPORAL GRAPHICAL MODEL FOR HEAD POSE ESTIMATION IN REAL-WORLD VIDEOS
Meltem Demirkus, Doina Precup, James Clark, Tal Arbel, McGill University, Canada
ARS-P11.15—UNCERTAINTY MODELING FOR EFFICIENT VISUAL ODOMETRY VIA INERTIAL SENSORS ON MOBILE DEVICES
Yagiz Aksoy, ETH Zurich & Disney Research Zurich, Switzerland; Aydin Alatan, Middle East Technical University, Turkey
ARS-P9: Indexing and Retrieval
Wednesday 14:00–16:00; Poster Session; Poster Area B
ARS-P9.1—ROTATION-INVARIANT TEXTURE RETRIEVAL USING A STEERABLE GAUSSIAN COPULA MODEL
Hassan Rami, Ahmed Drissi El Maliani, Mohammed El Hassouni, University of Mohammed V-Agdal, Morocco; Yannick Berthoumieu, University of Bordeaux, France
ARS-P9.2—LOCALITY PRESERVING HASHING
Yi-Hsuan Tsai, Ming-Hsuan Yang, University of California at Merced, USA
ARS-P9.3—EXPLOITING DISPARITY INFORMATION FOR STEREO IMAGE RETRIEVAL
Amani Chaker, SUP’COM, Tunisia; Mounir Kaaniche, Université Paris 13, France; Amel Benazza, SUP’COM, Carthage University & Communication, Signal and Image Laboratory, Tunisia
ARS-P9.4—SKETCH BASED IMAGE RETRIEVAL USING A SOFT COMPUTATION OF THE HISTOGRAM OF EDGE LOCAL ORIENTATIONS (S-HELO)
Jose Saavedra, Orand S.A., Chile
ARS-P9.5—PLSA DRIVEN IMAGE ANNOTATION, CLASSIFICATION, AND TOURISM RECOMMENDATION
Konstantinos Pliakos, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
ARS-P9.6—A PRACTICAL SPATIAL RE-RANKING METHOD FOR INSTANCE SEARCH FROM VIDEOS
Xiao Zhou, Hefei Normal University, P.R. China; Cai-Zhi Zhu, Nagoya University, Japan; Qiang Zhu, Hefei Normal University, P.R. China; Shin’ichi Satoh, National Institute of Informatics, Japan; Yu-Tang Guo, Hefei Normal University, P.R. China
ARS-P9.7—WEIGHTED SVM FROM CLICKTHROUGH DATA FOR IMAGE RETRIEVAL
Ioannis Sarafis, Christos Diou, Aristotle University of Thessaloniki, Greece; Theodora Tsikrika, Centre for Research and Technology Hellas, Greece; Anastasios Delopoulos, Aristotle University of Thessaloniki, Greece
ARS-P9.8—IMPROVING VLAD: HIERARCHICAL CODING AND A REFINED LOCAL COORDINATE SYSTEM
Christian Eggert, Stefan Romberg, Rainer Lienhart, University of Augsburg, Germany
ARS-P9.9—FARNESS PRESERVING NON-NEGATIVE MATRIX FACTORIZATION
Mohammadreza Babaee, Institute for Human-Machine Communication, Germany; Gholamreza Bahmanyar, Munich Aerospace Faculty, German Aerospace Center (DLR), Germany; Gerhard Rigoll, Technische Universität München, Germany; Mihai Datcu, German Aerospace Center, Germany
ARS-P9.10—ARABIC TEXT DETECTION IN VIDEOS USING NEURAL AND BOOSTING-BASED APPROACHES: APPLICATION TO VIDEO INDEXING
Sonia Yousfi, Sid-Ahmed Berrani, Orange Labs – France Telecom, France; Christophe Garcia, INSA-Lyon, France
ARS-P9.11—L1-NORM GLOBAL GEOMETRIC CONSISTENCY FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL
Yang Lin, Chen Xu, Li Yang, Zhouchen Lin, Hongbin Zha, Peking University, P.R. China
ARS-P9.12—ON VISUAL SIMILARITY BASED INTERACTIVE PRODUCT RECOMMENDATION FOR ONLINE SHOPPING
Jen-Hao Hsiao, Yahoo Taiwan, Taiwan; Li-Jia Li, Yahoo! Research, USA
ARS-P9.13—CONTENT-BASED IMAGE RETRIEVAL USING COLOR FEATURES OF SALIENT REGIONS
Jaehyun An, Sang Hwa Lee, Nam Ik Cho, Seoul National University, Korea
ARS-P9.14—SCENE-BASED AUTOMATIC IMAGE ANNOTATION
Amara Tariq, Hassan Foroosh, University of Central Florida, USA
ARS-P9.15—IMAGE AUTO-ANNOTATION BY EXPLOITING WEB INFORMATION
I-Hong Jhuo, Academia Sinica, Taiwan; Li Weng, INRIA Rennes – Bretagne Atlantique, France
ARS-P9.16—DENSE SAMPLING OF FEATURES FOR IMAGE RETRIEVAL
Ronan Sicre, University of Caen, France; Theo Gevers, University of Amsterdam, The Netherlands
ARS-P9.17—IMAGE TAG COMPLETION BY LOW-RANK FACTORIZATION WITH DUAL RECONSTRUCTION STRUCTURE PRESERVED
Xue Li, Yu-Jin Zhang, Tsinghua University, P.R. China; Bin Shen, Purdue University, USA; Baodi Liu, China University of Petroleum, P.R. China
ARS-P9.18—IMAGE RETRIEVAL WITH HIERARCHICAL MATCHING PURSUIT
Shasha Bu, Yu-Jin Zhang, Tsinghua University, P.R. China
ARS-P9.19—BENCHMARKING RESULT DIVERSIFICATION IN SOCIAL IMAGE RETRIEVAL
Bogdan Ionescu, University Politehnica of Bucharest, Romania; Adrian Popescu, CEA/LIST-Lic2m, France; Henning Müller, University of Applied Sciences Western Switzerland, Switzerland; María Menéndez, University of Trento, Italy; Anca-Livia Radu, University Politehnica of Bucharest, Romania
ARS-P9.20—LINKING TEXT AND VISUAL CONCEPTS SEMANTICALLY FOR CROSS MODAL MULTIMEDIA SEARCH
Bahjat Safadi, Mathilde Sahuguet, Benoit Huet, EURECOM, France
ARS-P9.21—EFFICIENT VIDEO SEARCH USING IMAGE QUERIES
Andre Araujo, Stanford University, USA; Mina Makar, Qualcomm Inc., USA; Vijay Chandrasekhar, Institute for Infocomm Research, Singapore; David Chen, Sam Tsai, Huizhong Chen, Roland Angst, Bernd Girod, Stanford University, USA
ARS-P9.22—RETRIEVING IMAGES USING SALIENCY DETECTION AND GRAPH MATCHING
Shao Huang, Weiqiang Wang, Hui Zhang, University of Chinese Academy of Sciences, P.R. China
ARS-P9.23—CROSS MODAL METRIC LEARNING WITH MULTI-LEVEL SEMANTIC RELEVANCE
Yan Hua, Beijing University of Posts and Telecommunications, P.R. China; Shuhui Wang, Chinese Academy of Sciences, P.R. China; Zhicheng Zhao, Beijing University of Posts and Telecommunications, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China; Anni Cai, Beijing University of Posts and Telecommunications, P.R. China
ARS-P9.24—SKETCH2MANGA: SKETCH-BASED MANGA RETRIEVAL
Yusuke Matsui, Kiyoharu Aizawa, University of Tokyo, Japan; Yushi Jing, Google, USA
ARS-P9.25—IMAGE ANNOTATION VIA LEARNING THE IMAGE-LABEL INTERRELATIONS
Yonghao He, Jian Wang, Shiming Xiang, Chunhong Pan, Chinese Academy of Sciences, P.R. China
ARS-P9.26—AUTOMATIC IMAGE ANNOTATION USING INVERSE MAPS FROM SEMANTIC EMBEDDINGS
Jayaraman J. Thiagarajan, Lawrence Livermore National Laboratory, USA; Karthikeyan Natesan Ramamurthy, IBM Thomas J. Watson Research Center, USA; Prasanna Sattigeri, Arizona State University, USA; Peer-Timo Bremer, Lawrence Livermore National Laboratory, USA; Andreas Spanias, Arizona State University, USA
ARS-P9.27—SCENE AND VIEWPOINT BASED VISUAL SUMMARIZATION FOR LANDMARKS
Weiqing Min, Bing-Kun Bao, Changsheng Xu, Chinese Academy of Sciences, P.R. China
ARS-P9.28—IMAGE MATCHING USING ADAPTED IMAGE MODELS AND ITS APPLICATION TO CONTENT-BASED IMAGE RETRIEVAL
Bo Li, Beijing Institute of Technology, P.R. China; Zhenjiang Miao, Beijing Jiaotong University, P.R. China
ARS-P9.29—FAST AND ACCURATE VIDEO ANNOTATION USING DENSE MOTION HYPOTHESES
Loïc Fagot-Bouquet, Jaonary Rabarisoa, Quoc Cuong Pham, CEA, LIST, Vision and Content Engineering Laboratory, France
ARS-P9.30—OPTIMAL NO-INTERSECTION MULTI-LABEL BINARY LOCALIZATION FOR TIME SERIES USING TOTALLY UNIMODULAR LINEAR PROGRAMMING
Ricardo Cabral, Carnegie Mellon University, USA; João Paulo Costeira, Alexandre Bernardino, Instituto Superior Técnico, Portugal; Fernando De la Torre, Carnegie Mellon University, USA
ARS-P9.31—3D NON-RIGID PATTERN RECOGNITION BASED ON STRUCTURAL ANALYSIS
Meha Hachani, Azza Ouled Zaid, University of Tunis El Manar, Tunisia; William Puech, LIRMM, France
COM-P2: Video Compression
Wednesday 14:00–16:00; Poster Session; Poster Area C
COM-P2.1—HIERARCHICAL DEPENDENCY CONTEXT MODEL BASED ARITHMETIC CODING FOR DCT VIDEO COMPRESSION
Min Gao, Debin Zhao, Qiang Wang, Wen Gao, Harbin Institute of Technology, P.R. China
COM-P2.2—ADAPTIVE WEIGHTED DISTORTION OPTIMIZATION FOR VIDEO CODING IN RGB COLOR SPACE
Yue Huang, Honggang Qi, University of Chinese Academy of Sciences, P.R. China; Bin Li, Microsoft Research, P.R. China; Ji-Zheng Xu, Microsoft Research Asia, P.R. China
COM-P2.3—RATE-DISTORTION OPTIMIZATION AND ADAPTATION OF INTRA PREDICTION FILTER PARAMETERS
Shunyao Li, Yue Chen, University of California, Santa Barbara, USA; Jingning Han, Google, USA; Tejaswi Nanjundaswamy, Kenneth Rose, University of California, Santa Barbara, USA
COM-P2.4—NEAREST-NEIGHBOR INTRA PREDICTION FOR SCREEN CONTENT VIDEO CODING
Haoming Chen, University of Washington-Seattle, USA; Ankur Saxena, Felix Fernandes, Samsung Information Systems America, USA
COM-P2.5—FIR/IIR CASCADE APPROXIMATING H.264/AVC INTERPOLATION FILTER
Nikolay Shlyakhov, Miroslav Goncharenko, Alexei Leonenko, Intel, Russia
COM-P2.6—MASKING OF TRANSFORMED INTRA-PREDICTED BLOCKS FOR HIGH QUALITY IMAGE AND VIDEO CODING
Saverio Blasi, Queen Mary, University of London, United Kingdom; Marta Mrak, BBC, United Kingdom; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom
COM-P2.7—MODE-DEPENDENT DISTORTION MODELING FOR H.264/SVC COARSE GRAIN SNR SCALABILITY
Yin-An Jian, Chun-Chi Chen, Wen-Hsiao Peng, National Chiao Tung University, Taiwan
COM-P2.8—JOINT DESIGN OF BI-PREDICTIVE INTERPOLATION FILTERS
Koohyar Minoo, Arris Group Inc., USA; Jian Lou, Apple, USA
COM-P2.9—RATE DISTORTION-BASED MOTION ESTIMATION SEARCH ORDERING FOR RATE-CONSTRAINED SUCCESSIVE ELIMINATION ALGORITHMS
Luc Trudeau, Stéphane Coulombe, Christian Desrosiers, École de Technologie Supérieure, Canada
COM-P2.10—HIERARCHICAL ANCHORING OF MOTION FIELDS FOR FULLY SCALABLE VIDEO CODING
Dominic Ruefenacht, Reji Mathew, David Taubman, University of New South Wales, Australia
COM-P2.11—AN EFFICIENT ADAPTIVE ENERGY MODEL BASED PREDICTIVE MOTION ESTIMATION ALGORITHM FOR VIDEO CODING
Amir Ghahremani, Amir Mousavinia, K. N. Toosi University of Technology, Iran
COM-P2.12—RECURSIVE PREDICTION FOR JOINT SPATIAL AND TEMPORAL PREDICTION IN VIDEO CODING
Fatih Kamisli, Middle East Technical University, Turkey
COM-P2.13—ADAPTIVE LAGRANGE MULTIPLIER SELECTION
MODEL IN RATE DISTORTION OPTIMIZATION FOR 3D WAVELET-BASED SCALABLE
VIDEO CODING
Ying Chen, Guizhong Liu, Xi’an Jiaotong University, P.R. China
COM-P2.14—BIT RATE ESTIMATION FOR H.264/AVC VIDEO ENCODING BASED ON TEMPORAL AND SPATIAL ACTIVITIES
Christian Lottermann, Alexander Machado, BMW Group, Germany; Damien Schroeder, Technische Universität München, Germany; Yang Peng, Intel Mobile Communications, Germany; Eckehard Steinbach, Technische Universität München, Germany
COM-P2.15—LOW-COMPLEXITY DICTIONARY BASED LOSSLESS SCREEN CONTENT CODING
Meng Xu, Polytechnic Institute of New York University, USA; Zhan Ma, Wei Wang, Xian Wang, Haoping Yu, Huawei USA R&D Center, USA
COM-P2.16—CORRELATION NOISE MODELING FOR MULTIVIEW TRANSFORM DOMAIN WYNER-ZIV VIDEO CODING
Catarina Brites, Fernando Pereira, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal
COM-P2.17—COMPLEXITY REDUCTION FOR 3D-HEVC DEPTH MAPS INTRA-FRAME PREDICTION USING SIMPLIFIED EDGE DETECTOR ALGORITHM
Gustavo Sanchez, Mário Saldanha, Gabriel Balota, Federal University of Pelotas, Brazil; Bruno Zatt, Federal University of Rio Grande do Sul, Brazil; Marcelo Porto, Luciano Agostini, Federal University of Pelotas, Brazil
COM-P2.18—FAST CODING TREE UNIT DEPTH DECISION FOR HIGH EFFICIENCY VIDEO CODING
Zhaoqing Pan, Sam Kwong, Yun Zhang, City University of Hong Kong, Hong Kong; Jianjun Lei, Tianjin University, P.R. China; Hui Yuan, City University of Hong Kong, Hong Kong
COM-P2.19—GENERIC SEGMENT-WISE DC FOR 3D-HEVC DEPTH INTRA CODING
Hongbin Liu, Ying Chen, Qualcomm, P.R. China
COM-P2.20—QUANTIZATION OPTIMIZATION IN MULTIVIEW PLUS DEPTH VIDEO CODING
Krzysztof Klimaszewski, Olgierd Stankiewicz, Krzysztof Wegner, Marek Domański, Poznan University of Technology, Poland
COM-P2.21—A NOVEL DISTORTION MODEL FOR DEPTH CODING IN 3D-HEVC
Chenyang Li, Graduate School at Shenzhen, Tsinghua University, P.R. China; Xin Jin, Qionghai Dai, Tsinghua University, P.R. China
COM-P2.22—A PANORAMIC 3D VIDEO CODING WITH DIRECTIONAL DEPTH AIDED INPAINTING
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto, Università degli Studi di Torino, Italy
TEC-P7: Wavelets and Filtering
Wednesday 14:00–16:00; Poster Session; Poster Area A
TEC-P7.1—FAST L1 GAUSSIAN CONVOLUTION VIA DOMAIN SPLITTING
Shin Yoshizawa, Hideo Yokota, RIKEN, Japan
TEC-P7.2—LEARNING FILTERS IN GAUSSIAN PROCESS CLASSIFICATION PROBLEMS
Pablo Ruiz, Javier Mateos, Rafael Molina, Universidad de Granada, Spain; Aggelos K. Katsaggelos, Northwestern University, USA
TEC-P7.3—SCALE-SPACE FILTERING USING A PIECEWISE POLYNOMIAL REPRESENTATION
Gou Koutaki, Keiichi Uchimura, Kumamoto University, Japan
TEC-P7.4—IMPULSE-MOWING ANISOTROPIC DIFFUSION FILTER FOR IMAGE DENOISING
Hakran Kim, Seongjai Kim, Mississippi State University, USA
TEC-P7.5—FAST AND MEMORY-EFFICIENT QUANTILE FILTER FOR DATA IN THREE AND HIGHER DIMENSIONS
Dennis Mosbach, Hans Hagen, University of Kaiserslautern, Germany; Michael Godehardt, Oliver Wirjadi, Fraunhofer ITWM, Germany
TEC-P7.6—A FIRST PARALLEL ALGORITHM TO COMPUTE THE MORPHOLOGICAL TREE OF SHAPES OF ND IMAGES
Sébastien Crozet, Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France
TEC-P7.7—IMAGE ADAPTED TOTAL ORDERING FOR MATHEMATICAL MORPHOLOGY ON MULTIVARIATE IMAGES
Emmanuel Chevallier, Jesus Angulo, MINES ParisTech, France
TEC-P7.8—A NOVEL HYPERSPECTRAL IMAGES DESTRIPING METHOD BASED ON EDGE RECONSTRUCTION AND ADAPTIVE MORPHOLOGICAL OPERATORS
Yidan Teng, Ye Zhang, Yushi Chen, Chunli Ti, Harbin Institute of Technology, P.R. China
TEC-P7.9—MEANINGFUL DISJOINT LEVEL LINES SELECTION
Yongchao Xu, Edwin Carlinet, EPITA Research and Development Laboratory & University of Paris-Est, France; Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France; Laurent Najman, Université Paris-Est, France
TEC-P7.10—ULTIMATE GRAIN FILTER
Wonder Alves, Ronaldo Hashimoto, University of São Paulo, Brazil
TEC-P7.11—OCEAN SURFACE CURRENT RETRIEVAL USING A NON HOMOGENEOUS MARKOV-SWITCHING MULTI-REGIME MODEL
Pierre Tandeo, Ronan Fablet, Telecom Bretagne, France; Pierre Ailliot, University of Brest, France
TEC-P7.12—MULTIDIMENSIONAL LINEAR-PHASE PERFECT RECONSTRUCTION FILTER BANKS WITH HIGHER ORDER FEASIBLE BUILDING BLOCKS
Ami Hamamoto, Masaki Onuki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
TEC-P7.13—VOW: VARIANCE OPTIMAL WAVELETS FOR THE STEERABLE PYRAMID
Pedram Pad, Virginie Uhlmann, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TEC-P7.14—DIAGONAL VECTORISATION OF 2-D WAVELET LIFTING
David Barina, Pavel Zemcik, Brno University of Technology, Czech Republic
TEC-P7.15—EDGE-AWARE IMAGE GRAPH EXPANSION METHODS FOR OVERSAMPLED GRAPH LAPLACIAN MATRIX
Akie Sakiyama, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan
ARS-L8: Object Detection
Wednesday 16:30–18:10; Oral Session; Room: Leonard de Vinci
16:30 ARS-L8.1—OBJECT DETECTION USING EDGE HISTOGRAM OF ORIENTED GRADIENT
Haoyu Ren, Ze-Nian Li, Simon Fraser University, Canada
16:50 ARS-L8.2—LAPLACIAN OBJECT: ONE-SHOT OBJECT DETECTION BY LOCALITY PRESERVING PROJECTION
Sujoy Kumar Biswas, Peyman Milanfar, University of California, Santa Cruz, USA
17:10 ARS-L8.3—WINDOW MINING BY CLUSTERING MID-LEVEL REPRESENTATION FOR WEAKLY SUPERVISED OBJECT DETECTION
Chong Wang, Weiqiang Ren, Kaiqi Huang, Chinese Academy of Sciences, P.R. China
17:30 ARS-L8.4—FUSING GENERIC OBJECTNESS AND DEFORMABLE PART-BASED MODELS FOR WEAKLY SUPERVISED OBJECT DETECTION
Yuxing Tang, Xiaofang Wang, Emmanuel Dellandrea, Ecole Centrale de Lyon, France; Simon Masnou, Université Lyon 1, France; Liming Chen, Ecole Centrale de Lyon, France
17:50 ARS-L8.5—HETEROGENEOUS DOMAIN ADAPTATION USING PREVIOUSLY LEARNED CLASSIFIER FOR OBJECT DETECTION PROBLEM
Azadeh Mozafari, Mansour Jamzad, Sharif University of Technology, Iran
COI-L1: Microscopic Imaging
Wednesday 16:30–18:10; Oral Session; Room: Ampere 1+3
16:30 COI-L1.1—EXACT RECONSTRUCTION IN QUANTITATIVE PHASE MICROSCOPY
Chandra Sekhar Seelamantula, Basty Ajay Shenoy, Indian Institute of Science, India; Séverine Coquoz, Theo Lasser, École Polytechnique Fédérale de Lausanne, Switzerland
16:50 COI-L1.2—PHASE RETRIEVAL BY USING TRANSPORT-OF-INTENSITY EQUATION AND DIFFERENTIAL INTERFERENCE CONTRAST MICROSCOPY
Emrah Bostan, Emmanuel Froustey, Benjamin Rappaz, Etienne Shaffer, Daniel Sage, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland
17:10 COI-L1.3—ON PROPER SIMULATION OF PHENOMENA INFLUENCING IMAGE FORMATION IN FLUORESCENCE MICROSCOPY
David Svoboda, Vladimír Ulman, Luděk Matyska, Martin Maška, Ján Bella, Stanislav Stejskal, Masaryk University, Czech Republic
17:30 COI-L1.4—BINARIZATION OF NOISY MICROSCOPY IMAGES THROUGH SIGNAL RECONSTRUCTION USING ITERATIVE DETECTION NETWORK
Tomas Lukes, Daniel Kekrt, Karel Fliegel, Milos Klima, Czech Technical University in Prague, Czech Republic
17:50 COI-L1.5—ALGORITHM AND BENCHMARK DATASET FOR STAIN SEPARATION IN HISTOLOGY IMAGES
Michael McCann, Joshita Majumdar, Carnegie Mellon University, USA; Cheng Peng, PSsolution, USA; Carlos Castro, Magee-Womens Research Institute and Foundation of the University of Pittsburgh, USA; Jelena Kovacevic, Carnegie Mellon University, USA
DIS-L1: Mobile Visual Search
Wednesday 16:30–18:10; Oral Session; Room: Ampere 5+6
16:30 DIS-L1.1—ELEMENTARY BLOCK EXTRACTION FOR MOBILE IMAGE SEARCH
José Mennesson, Pierre Tirilly, Jean Martinet, University of Lille, France
16:50 DIS-L1.2—CONTEXT-AWARE CODEBOOK LEARNING FOR MOBILE LANDMARK RECOGNITION
Tao Chen, Jiayuan Fan, Shijian Lu, Agency for Science, Technology and Research, Singapore
17:10 DIS-L1.3—WORD-HOGS: WORD HISTOGRAM OF ORIENTED GRADIENTS FOR MOBILE VISUAL SEARCH
Sam Tsai, Huizhong Chen, David Chen, Bernd Girod, Stanford University, USA
17:30 DIS-L1.4—A HOG-BASED HAND GESTURE RECOGNITION SYSTEM ON A MOBILE DEVICE
Lukas Prasuhn, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa, Waseda University, Japan
17:50 DIS-L1.5—JOINT OPTIMIZATION OF JPEG QUANTIZATION TABLE AND COEFFICIENT THRESHOLDING FOR LOW BITRATE MOBILE VISUAL SEARCH
Yitong Wang, Lingyu Duan, Jie Lin, Tiejun Huang, Wen Gao, Peking University, P.R. China
TEC-L6: Image Enhancement
Wednesday 16:30–18:10; Oral Session; Room: Dickens 3+4
16:30 TEC-L6.1—COMPRESSED FACE HALLUCINATION
Sifei Liu, Ming-Hsuan Yang, University of California at Merced, USA
16:50 TEC-L6.2—SINGLE IMAGE DEHAZING WITH IMAGE ENTROPY AND INFORMATION FIDELITY
Dubok Park, Hyungjo Park, Korea University, Korea; K. Han David, Office of Naval Research, USA; Hanseok Ko, Korea University, Korea
17:10 TEC-L6.3—BLIND IMAGE DEBLURRING USING NON-NEGATIVE SPARSE APPROXIMATION
Muhammad Hanif, The Australian National University, Australia; Abd-krim Seghouane, The University of Melbourne, Australia
17:30 TEC-L6.4—IMAGE ENHANCEMENT BY ENTROPY MAXIMIZATION AND QUANTIZATION RESOLUTION UPCONVERSION
Yi Niu, Xidian University & McMaster University, P.R. China; Xiaolin Wu, McMaster University, Canada; Guangming Shi, Xidian University, P.R. China
17:50 TEC-L6.5—IMAGE BIT-DEPTH ENHANCEMENT VIA MAXIMUM-A-POSTERIORI ESTIMATION OF GRAPH AC COMPONENT
Pengfei Wan, Hong Kong University of Science and Technology, Hong Kong; Gene Cheung, National Institute of Informatics, Japan; Dinei Florencio, Cha Zhang, Microsoft Research, USA; Oscar Au, Hong Kong University of Science and Technology, Hong Kong
SS11: Realistic 3D in Interactive Virtual Worlds
Wednesday 16:30–18:10; Oral Session; Room: Ampere 7+8
Session Chair: Julie Wall, University of London
16:30 SS11.1—ARCHITECTURE OF A SOCIO-CONVERSATIONAL AGENT IN VIRTUAL WORLDS
Brian Ravenet, Magalie Ochs, Catherine Pelachaud, Télécom ParisTech, France
16:50 SS11.2—MONITORING AND TAILORING THE USAGE OF NETWORK RESOURCES FOR SMOOTHING THE PROVISION OF INTERACTIVE 3D SERVICES
Andreas Papadakis, School of Pedagogical and Technological Education (ASPETE), Greece; Theodore Zahariadis, TEI of Sterea Ellada, Greece; Costas Vrioni, SYNELIXIS, Greece
17:10 SS11.3—OPTIMIZED SCALABLE VIDEO TRANSMISSION OVER P2P NETWORK WITH HIERARCHICAL NETWORK CODING
Shenglan Huang, Michele Sanna, Ebroul Izquierdo, Pengwei Hao, Queen Mary, University of London, United Kingdom
17:30 SS11.4—ARTICULATED 3D MODEL TRACKING WITH ON-THE-FLY TEXTURING
Philipp Fechteler, Wolfgang Paier, Fraunhofer HHI, Germany; Peter Eisert, Fraunhofer HHI & Humboldt University, Germany
17:50 SS11.5—SHELLCAM: INTERACTIVE GEOMETRY-AWARE VIRTUAL CAMERA CONTROL
Tamy Boubekeur, Télécom ParisTech, France
SS2: Learning Image Features to Encode Visual Information
Wednesday 16:30–18:10; Oral Session; Room: Dickens 1+2
Session Chairs: Javier Portilla, Consejo Superior de Investigaciones Científicas (CSIC); Joan Serra-Sagrista, Universitat Autonoma de Barcelona
16:30 SS2.1—LEARNING TRANSFORMATIONS
Qiang Qiu, Guillermo Sapiro, Duke University, USA
16:50 SS2.2—LEARNING SPARSE FILTERBANK TRANSFORMS WITH CONVOLUTIONAL ICA
Johannes Ballé, Eero Simoncelli, New York University & Howard Hughes Medical Institute, USA
17:10 SS2.3—IMAGE RESTORATION VIA BAYESIAN STRUCTURED SPARSE CODING
Weisheng Dong, Xidian University, P.R. China; Xin Li, West Virginia University, USA; Yi Ma, Microsoft Research Asia, P.R. China; Guangming Shi, Xidian University, P.R. China
17:30 SS2.4—LOSSLESS CODING OF HYPERSPECTRAL IMAGES WITH PRINCIPAL POLYNOMIAL ANALYSIS
Naoufal Amrani, Universitat Autonoma de Barcelona, Spain; Valero Laparra, Gustavo Camps-Valls, Universitat de València, Spain; Joan Serra-Sagrista, Universitat Autonoma de Barcelona, Spain; Jesus Malo, Universitat de València, Spain
17:50 SS2.5—LOCAL FEATURE SELECTION FOR EFFICIENT BINARY DESCRIPTOR CODING
Pedro Monteiro, João Ascenso, Fernando Pereira, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal
COM-P3: HEVC
Wednesday 16:10–18:10; Poster Session; Poster Area C
COM-P3.1—SAMPLE-BASED WEIGHTED PREDICTION FOR LOSSLESS ENHANCEMENT LAYER CODING IN SHVC
Andreas Heindel, Eugen Wige, Andre Kaup, University of Erlangen-Nuremberg, Germany
COM-P3.2—LINEAR ADAPTIVE SEARCH RANGE MODEL FOR UNI-PREDICTION AND MOTION ANALYSIS FOR BI-PREDICTION IN HEVC
Longshan Du, Zhenyu Liu, Tsinghua University, P.R. China; Takeshi Ikenaga, Waseda University, Japan; Dongsheng Wang, Tsinghua University, P.R. China
COM-P3.3—HEVC-BASED DEBLOCKING FILTER WITH RAMP PRESERVATION PROPERTIES
Andrey Norkin, Ericsson, Sweden
COM-P3.4—FAST HIERARCHICAL INTRA ANGULAR MODE SELECTION FOR HIGH EFFICIENCY VIDEO CODING
Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel, Karlsruhe Institute of Technology, Germany
COM-P3.5—BACKWARD COMPATIBLE ENHANCEMENT OF CHROMA FORMAT IN HEVC
Done Bugdayci Sansli, Tampere University of Technology, Finland; Kemal Ugur, Miska Hannuksela, Nokia Research Center, Finland; Moncef Gabbouj, Tampere University of Technology, Finland
COM-P3.6—EFFECTIVE CODING UNIT SIZE DECISION BASED ON MOTION HOMOGENEITY CLASSIFICATION FOR HEVC INTER PREDICTION
Thanuja Mallikarachchi, Anil Fernando, Hemantha Kodikara Arachchi, University of Surrey, United Kingdom
COM-P3.7—ENHANCED AMVP MECHANISM BASED ADAPTIVE MOTION SEARCH RANGE DECISION ALGORITHM FOR FAST HEVC CODING
Wei-Da Chien, Ke-Ying Liao, Jar-Ferr Yang, National Cheng Kung University, Taiwan
COM-P3.8—CROSS COMPONENT DECORRELATION FOR HEVC RANGE EXTENSION STANDARD
Wei Pu, Woo-Shik Kim, Jianle Chen, Joel Sole, Marta Karczewicz, Qualcomm, USA
COM-P3.9—FAST INTRA MODE DECISION FOR HEVC BASED ON TRANSPARENT COMPOSITE MODEL
Nan Hu, En-hui Yang, University of Waterloo, Canada
COM-P3.10—MODIFIED SAMPLE ADAPTIVE OFFSET FILTERING AS AN INTER-LAYER PROCESSING FOR SCALABLE HEVC
Patrice Onno, Guillaume Laroche, Christophe Gisquet, Canon Research Centre France, France
COM-P3.11—FAST AND EFFICIENT INTER CU DECISION FOR HIGH EFFICIENCY VIDEO CODING
Jian Xiong, Hongliang Li, Fanman Meng, Bing Zeng, Shuyuan Zhu, Qingbo Wu, University of Electronic Science and Technology of China, P.R. China
COM-P3.12—INTRA PREDICTION WITH ADAPTIVE CU PROCESSING ORDER IN HEVC
Amin Zheng, Oscar Au, Yuan Yuan, Hong Kong University of Science and Technology, Hong Kong; Haitao Yang, Huawei Technologies Co., Ltd, P.R. China; Jiahao Pang, Yonggen Ling, Hong Kong University of Science and Technology, Hong Kong
COM-P3.13—DECODER COMPLEXITY REDUCTION FOR THE SCALABLE EXTENSION OF HEVC
Christian Feldmann, Fabian Jäger, Mathias Wien, RWTH Aachen University, Germany
COM-P3.14—SCALABLE EXTENSION OF HEVC USING ENHANCED INTER-LAYER PREDICTION
Thorsten Laude, Leibniz Universität Hannover, Germany; Xiaoyu Xiu, Jie Dong, Yuwen He, Yan Ye, InterDigital Communications, USA; Joern Ostermann, Leibniz Universitaet Hannover, Germany
COM-P3.15—ADAPTIVE CROSS-COMPONENT PREDICTION FOR 4:4:4 HIGH EFFICIENCY VIDEO CODING
Ali Khairat, Tung Nguyen, Mischa Siekmann, Detlev Marpe, Thomas Wiegand, Fraunhofer HHI, Germany
COM-P3.16—MODELING THE ENERGY CONSUMPTION OF HEVC P- AND B-FRAME DECODING
Christian Herglotz, Dominic Springer, Andre Kaup, University of Erlangen-Nuremberg, Germany
COM-P3.17—SCREEN CONTENT CODING FOR HEVC BY IMPROVED LINE-BASED INTRA BLOCK COPY
Mengmeng Zhang, Yang Zhang, North China University of Technology, P.R. China; Xiulian Peng, Ji-Zheng Xu, Microsoft Research Asia, P.R. China
COM-P3.18—DOMINANT EDGE DIRECTION BASED FAST PARAMETER ESTIMATION ALGORITHM FOR SAMPLE ADAPTIVE OFFSET IN HEVC
Jaehwan Joo, Yongseok Choi, Samsung Electronics, Korea
COM-P3.19—AN ADAPTIVE RESIDUAL DECORRELATION METHOD FOR HEVC
Kei Kawamura, Haruhisa Kato, Sei Naito, KDDI R&D Laboratories, Japan
COM-P3.20—REGION BASED INTER-LAYER CROSS-COLOR FILTERING FOR SCALABLE EXTENSION OF HEVC
Xiang Li, Wei Pu, Jianle Chen, Marta Karczewicz, Qualcomm, USA; Elena Alshina, Alexander Alshin, Yongjin Cho, Samsung, Korea
COM-P3.21—TEMPORAL LAYER ADAPTIVE LOOP FILTER FOR HEVC
Qinglong Han, Wai-Kuen Cham, The Chinese University of Hong Kong, Hong Kong
COM-P3.22—BINARY CLASSIFICATION BASED LINEAR RATE ESTIMATION MODEL FOR HEVC RDO
Zhenyu Liu, Tsinghua University, P.R. China; Sanchuan Guo, National Computer Network Emergency Response Technical Team/Coordination Center, P.R. China; Dongsheng Wang, Tsinghua University, P.R. China
ELI-P4: Multiview Systems
Wednesday 16:10–18:10; Poster Session; Poster Area A
ELI-P4.1—SCREEN-CAMERA CALIBRATION USING A THREAD
Songnan Li, King Ngan, Lu Sheng, Chinese University of Hong Kong, Hong Kong
ELI-P4.2—RADIAL DISTORTION CORRECTION FROM A SINGLE IMAGE OF A PLANAR CALIBRATION PATTERN USING CONVEX OPTIMIZATION
Xianghua Ying, Xiang Mei, Sen Yang, Ganwen Wang, Hongbin Zha, Peking University, P.R. China
ELI-P4.3—CALIBRATION OF AN INDUSTRIAL VISION SYSTEM USING AN ELLIPSOID
Jamie Heather, Compac Technologies, New Zealand
ELI-P4.4—A PRACTICAL ALGORITHM FOR AUTOMATIC CHESSBOARD CORNER DETECTION
Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang, University of Science and Technology of China, P.R. China
ELI-P4.5—OMNIDIRECTIONAL CAMERA CALIBRATION FROM A LOW-RANK TEXTURED IMAGE
Ying Lin, State Grid Shandong Electric Power Research Institute, P.R. China; Baisheng Lai, Xiaojin Gong, Zhejiang University, P.R. China
ELI-P4.6—CALIBRATION OF DEPTH CAMERAS USING DENOISED DEPTH IMAGES
Ramanpreet Pahwa, Minh Do, University of Illinois at Urbana-Champaign, Singapore; Tian Tsong Ng, Institute for Infocomm Research, A*STAR, Singapore; Binh-Son Hua, National University of Singapore, Singapore
ELI-P4.7—CROSSTALK MODELING IN CIRCULARLY POLARIZED STEREOSCOPIC LCDS
Menglin Zeng, Haleh Azartash, Truong Nguyen, University of California, San Diego, USA
ELI-P4.8—EFFECT OF EYE DOMINANCE ON THE PERCEPTION OF STEREOSCOPIC 3D VIDEO
Amin Banitalebi-Dehkordi, University of British Columbia, Canada; Mahsa T. Pourazad, TELUS Communications Company, Canada; Panos Nasiopoulos, University of British Columbia, Canada
ELI-P4.9—MASTERCAM FVV: ROBUST REGISTRATION OF
MULTIVIEW SPORTS VIDEO TO A STATIC HIGH-RESOLUTION MASTER CAMERA FOR
FREE VIEWPOINT VIDEO
Florian Angehrn, ETH Zurich, Switzerland; Oliver Wang, Disney Research Zurich, Switzerland; Yagiz Aksoy, ETH Zurich & Disney Research Zurich, Switzerland; Markus Gross, ETH Zurich, Switzerland; Aljosa Smolic, Disney Research Zurich, Switzerland
ELI-P4.10—AUTO-RECTIFICATION OF USER PHOTOS
Krishnendu Chaudhury, Stephen DiVerdi, Sergey Ioffe, Google, USA
ELI-P4.11—QUALITY ASSESSMENT OF PERCEPTUAL CROSSTALK IN AUTOSTEREOSCOPIC DISPLAY
Jongyoo Kim, Kim Taewan, Sanghoon Lee, Yonsei University, Korea
ELI-P4.12—IMAGE REGISTRATION FOR QUALITY ASSESSMENT OF PROJECTION DISPLAYS
Ping Zhao, Marius Pedersen, Jon Hardeberg, Gjøvik University College, Norway; Jean-Baptiste Thomas, Université de Bourgogne, France
ELI-P4.13—HYBRID 3D FEATURE DESCRIPTION AND MATCHING FOR MULTI-MODAL DATA REGISTRATION
Hansung Kim, Adrian Hilton, University of Surrey, United Kingdom
ELI-P4.14—TOWARDS DYNAMIC RESOURCE OPTIMIZATION FOR CLOUD-BASED FREE VIEWPOINT VIDEO SERVICE
Xiaoming Nan, Yifeng He, Ling Guan, Ryerson University, Canada
ELI-P5: Depth and Disparity Estimation
Wednesday 16:10–18:10; Poster Session; Poster Area D
ELI-P5.1—MONOCULAR 3D STRUCTURE ESTIMATION FOR URBAN SCENES
Mohamad Motasem Nawaf, Alain Trémeau, University Jean Monnet, France
ELI-P5.2—EDGE GUIDED SINGLE DEPTH IMAGE SUPER RESOLUTION
Jun Xie, University of Washington, USA; Rogerio Feris, IBM, Watson Research Center, USA; Ming-Ting Sun, University of Washington, USA
ELI-P5.3—DEPTH IMAGES SUPER-RESOLUTION: AN ITERATIVE APPROACH
Alessandro Vianello, Francesco Michielin, Giancarlo Calvagno, University of Padova, Italy; Piergiorgio Sartor, Oliver Erdler, Sony Deutschland GmbH, Germany
ELI-P5.4—POST-AGGREGATION STEREO MATCHING METHOD USING DEMPSTER-SHAFER THEORY
Fan Wang, Alina Miron, Samia Ainouz-Zemouche, Abdelaziz Bensrhair, INSA de Rouen, France
ELI-P5.5—ADAPTIVE STEREO MATCHING VIA LOOP-ERASED RANDOM WALK
Xuejiao Bai, Xuan Luo, Shuo Li, Hongtao Lu, Shanghai Jiao Tong University, P.R. China
ELI-P5.6—COARSE-TO-FINE STRATEGY FOR EFFICIENT COST-VOLUME FILTERING
Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, Kiyoharu Aizawa, University of Tokyo, Japan
ELI-P5.7—TEMPORAL AND COLOR CONSISTENT DISPARITY ESTIMATION IN STEREO VIDEOS
Nicholas Vretos, Petros Daras, Centre for Research and Technology Hellas, Greece
ELI-P5.8—DATA-DRIVEN SINGLE IMAGE DEPTH ESTIMATION USING WEIGHTED MEDIAN STATISTICS
Youngjung Kim, Sunghwan Choi, Kwang Hoon Sohn, Yonsei University, Korea
ELI-P5.9—DEPTH MAP PROPAGATION WITH THE TEXTURE IMAGE GUIDANCE
Ji-an Zhang, Zhebin Zhang, Peking University, P.R. China
ELI-P5.10—3D CURVATURE ANALYSIS WITH A NOVEL ONE-SHOT TECHNIQUE
Matías Di Martino, Alicia Fernández, José Ferrari, Universidad de la República, Uruguay
ELI-P5.11—REVISITING GUIDED IMAGE FILTER BASED STEREO MATCHING AND SCANLINE OPTIMIZATION FOR IMPROVED DISPARITY ESTIMATION
Georgios Kordelas, Dimitrios Alexiadis, Informatics & Telematics Institute, Greece; Petros Daras, Centre for Research and Technology Hellas, Greece; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom
ELI-P5.12—A FAST NON-LOCAL DISPARITY REFINEMENT METHOD FOR STEREO MATCHING
Xiaoming Huang, Vimicro Corporation, P.R. China; Guoqin Cui, Yundong Zhang, State Key Laboratory of Digital Multi-media Chip Technology & Vimicro Corporation, P.R. China
ELI-P5.13—GROUP SEARCHING AND PROPORTION COMBINATION BASED DISPARITY VECTOR DERIVATION FOR 3D-HEVC
Zuo-cheng Zhou, Ke-bin Jia, Beijing University of Technology, P.R. China
ELI-P5.14—DEPTH ENHANCEMENT USING RGB-D GUIDED FILTERING
Tak-Wai Hui, King Ngan, Chinese University of Hong Kong, Hong Kong
ELI-P5.15—SUBSPACE BASED DISPARITY ESTIMATION FOR PLENOPTIC CAMERAS
Gururaj Putraya, Basavaraja Vandrotti, Mithun Uliyar, Nokia, India; Ravi Shenoy, Indian Institute of Science & Nokia, India
ELI-P5.16—PIXEL RESOLUTION PLENOPTIC DISPARITY USING COST AGGREGATION
Mithun Uliyar, Gururaj Putraya, Soumik Ukil, Basavaraja Vandrotti, Krishna Govindarao, Muninder Veldandi, Nokia, India
ELI-P5.17—DEPTH MOTION DETECTION—A NOVEL RS-TRIGGER TEMPORAL LOGIC BASED METHOD
Can Wang, Hong Liu, Liqian Ma, Peking University, P.R. China
ELI-P5.18—DENSE DEPTH MAP GENERATION USING SPARSE DEPTH DATA FROM NORMAL FLOW
Tak-Wai Hui, King Ngan, Chinese University of Hong Kong, Hong Kong
ELI-P5.19—DEPTH ESTIMATION FOR AUTOMOTIVE WITH TILTED OPTICS IMAGING
Hiroshi Ikeoka, Takafumi Murata, Maiki Okuwaki, Takayuki Hamamoto, Tokyo University of Science, Japan
ELI-P5.20—MODEL BASED CLUSTERING FOR 3D DDIRECTIONAL FEATURES: APPLICATION TO DEPTH IMAGE ANALYSIS
Md Abul Hasnat, Olivier Alata, Alain Trémeau, University Jean Monnet, France
TEC-P8: Biomedical Image Processing
Wednesday 16:10–18:10; Poster Session; Poster Area B
TEC-P8.1—A NEW METHOD FOR DATA-DRIVEN MULTI-BRAIN ATLAS GENERATION
Zhuo Sun, Leiden Universitair Medisch Centrum, The Netherlands; Radu Jasinschi, Jan Veerman, Philips Research, The Netherlands
TEC-P8.2—DIRECTED INTERACTIVITY OF LARGE-SCALE BRAIN
NETWORKS: INTRODUCING A NEW METHOD FOR ESTIMATING RESTING-STATE
EFFECTIVE CONNECTIVITY MRI
Nan Xu, R. Nathan Spreng, Peter Doerschuk, Cornell University, USA
TEC-P8.3—ONE-SIDED TRANSPARENCY: A NOVEL VISUALIZATION FOR TUBULAR OBJECTS
Robert Curtin, Marwa Ismail, Aly Farag, Chuck Sites, University of Louisville, USA; Salwa Elshazly, Kentucky Imaging Technologies, USA; Robert Falk, Jewish Hospital and 3DR, USA
TEC-P8.4—HIDDEN CONDITIONAL RANDOM FIELD FOR LUNG NODULE DETECTION
Yang Liu, Zhongqiu Wang, Maozu Guo, Harbin Institute of Technology, P.R. China; Ping Li, Harbin Medical University, P.R. China
TEC-P8.5—MULTIPLE-MODEL BAYESIAN APPROACH TO VOLUMETRIC IMAGING OF CARDIAC CURRENT SOURCES
Azar Rahimi Dehaghani, Jingjia Xu, Linwei Wang, Rochester Institute of Technology, USA
TEC-P8.6—IMPROVING DERMOSCOPY IMAGE ANALYSIS USING COLOR CONSTANCY
Ana Barata, Instituto Superior Técnico, Portugal; Jorge Marques, Instituto Superior Técnico & Instituto de Sistemas e Robotica, Portugal; M. Emre Celebi, Louisiana State University in Shreveport, USA
TEC-P8.7—FINDING THE OPTIMAL PARAMETER SETTING FOR AN ENSEMBLE-BASED LESION DETECTOR
János Tóth, László Szakács, Andras Hajdu, University of Debrecen, Hungary
TEC-P8.8—A NOVEL 4D PDE-BASED APPROACH FOR ACCURATE
ASSESSMENT OF MYOCARDIUM FUNCTION USING CINE CARDIAC MAGNETIC RESONANCE
IMAGES
Hisham Sliman, Ahmed Elnakib, Garth Beache, Ahmed Soliman, Fahmi Khalifa, University of Louisville, USA; Georgy Gimel’farb, University of Auckland, New Zealand; Adel Elmaghraby, Ayman El-Baz, University of Louisville, USA
TEC-P8.9—REGISTERING SEQUENCES OF IN VIVO MICROSCOPY
IMAGES FOR CELL TRACKING USING DYNAMIC PROGRAMMING AND MINIMUM SPANNING
TREES
Sara McArdle, University of California, San Diego, USA; Scott Acton, University of Virginia, USA; Klaus Ley, La Jolla Institute for Allergy & Immunology, USA; Nilanjan Ray, University of Alberta, Canada
TEC-P8.10—A JOINT SEGMENTATION-REGISTRATION FRAMEWORK BASED ON WEIGHTED TOTAL VARIATION AND NONLINEAR ELASTICITY PRINCIPLES
Solène Ozeré, INSA Rouen, France; Carole Le Guyader, INSA Rouen & Laboratoire de Mathématiques, France
TEC-P8.11—MAMMOGRAM ITERATIVE POMPEIU-HAUSDORFF REGISTRATION ALGORITHM
Stephanie Cunningham, Reza Adhami, University of Alabama in Huntsville, USA
TEC-P8.12—HIERARCHICAL NONRIGID MODEL FOR 3D MEDICAL IMAGE REGISTRATION
Sunyeong Kim, Yu-Wing Tai, Korea Advanced Institute of Science and Technology, Korea
TEC-P8.13—FEATURE-BASED REGISTRATION FOR CORRELATIVE LIGHT AND ELECTRON MICROSCOPY IMAGES
David Nam, Judith Mantell, Lorna Hodgson, David Bull, Paul Verkade, Alin Achim, University of Bristol, United Kingdom
TEC-P8.14—POSITIONING OF ANATOMICAL LANDMARKS IN ORTHOPEDICS BY MESH REGISTRATION
Hector Jacinto, OneFit Medical & INSA-Lyon, France; Razmig Kechichian, Grenoble INP & GIPSA-lab, France; Sébastien Valette, Remy Prost, INSA-Lyon, France
TEC-P8.15—NON RIGID IMAGE REGISTRATION BY MODELING DEFORMATIONS AS ELASTIC WAVES
Sahar Ahmad, Muhammad Faisal Khan, National University of Sciences and Technology (NUST), Pakistan
TEC-P8.16—HIDDEN MARKOV MODEL-BASED MULTI-MODAL IMAGE FUSION WITH EFFICIENT TRAINING
Renuka Shenoy, Min-Chi Shih, Kenneth Rose, University of California, Santa Barbara, USA
TEC-P8.17—DEMON REGISTRATION FOR 3D IMAGES OBTAINED BY SERIAL BLOCK FACE SCANNING ELECTRON MICROSCOPY
Raphael Thierry, Moritz Kirschmann, Friedrich Miescher Institute for Biomedical Research, Switzerland; Eric Hummel, Carl Zeiss Microscopy, France; Chris Hawes, Oxford Brookes University, United Kingdom; Christel Genoud, Friedrich Miescher Institute for Biomedical Research, Switzerland
TEC-P8.18—INTESTINAL EVENT SEGMENTATION FOR ENDOLUMINAL VIDEO ANALYSIS
Michal Drozdzal, Jordi Vitrià, Santi Segui, Universitat de Barcelona, Spain; Carolina Malagelada, Fernando Azpiroz, Hospital vall d’Hebron, Spain; Petia Radeva, Universitat de Barcelona, Spain
TEC-P8.19—RECONSTRUCTING NEURONAL MORPHOLOGY FROM MICROSCOPY STACKS USING FAST MARCHING
Sreetama Basu, National University of Singapore, Singapore; Daniel Racoceanu, Sorbonne Universités, Singapore
TEC-P8.20—GABOR-BASED NEEDLE DETECTION AND TRACKING IN THREE-DIMENSIONAL ULTRASOUND DATA VOLUMES
Arash Pourtaherian, Sveta Zinger, Peter de With, Hendrikus Korsten, Eindhoven University of Technology, The Netherlands; Nenad Mihajlovic, Philips Research, The Netherlands
TEC-P8.21—AUTOMATED COLORIMETRIC ANALYSIS IN PAPER BASED SENSORS
Sanyam Garg, Ramprasaath Ramasamy Selvaraju, Suman Kapur, MM. Rao Kunda, BITS-Pilani, India
TEC-P8.22—PERFORMANCE OF COMPLEX-VALUED ICA ALGORITHMS FOR FMRI ANALYSIS: IMPORTANCE OF TAKING FULL DIVERSITY INTO ACCOUNT
Wei Du, Gengshen Fu, University of Maryland, Baltimore County, USA; Vince Calhoun, University of New Mexico, USA; Tulay Adali, University of Maryland, Baltimore County, USA
TEC-P8.23—APPLICATIONS OF GAUSSIAN MIXTURE MODELS AND MEAN SQUARE ERROR WITHIN DATSCAN SPECT IMAGING
Abdelbasset Brahim, Javier Ramirez, Juan Górriz Sáez, Laila Khedher, University of Granada, Spain
TEC-P8.24—SHAPE STATISTICS FOR CELL DIVISION DETECTION IN TIME-LAPSE VIDEOS OF EARLY MOUSE EMBRYO
Marcelo Cicconet, Kristin Gunsalus, Davi Geiger, New York University, USA; Michael Werman, Hebrew University of Jerusalem, Israel
TEC-P8.25—AN INTEGRATED GEOMETRICAL AND STOCHASTIC APPROACH FOR ACCURATE INFANT BRAIN EXTRACTION
Amir Alansary, University of Louisville, USA; Ahmed Soliman, University of Louisville & Mansoura University, USA; Matthew Nitzken, Fahmi Khalifa, Ahmed Elnakib, Mahmoud Mostapha, Manuel Casanova, Ayman El-Baz, University of Louisville, USA
TEC-P8.26—3-D MESH COMPENSATED WAVELET LIFTING FOR 3-D+T MEDICAL CT DATA
Wolfgang Schnurrer, Thomas Richter, Jürgen Seiler, Christian Herglotz, Andre Kaup, University of Erlangen-Nuremberg, Germany
TEC-P8.27—RECONSTRUCTION WITH ANGULAR COMPENSATION IN RESPIRATORY-GATED CARDIAC SPECT
Wenyuan Qi, Yongyi Yang, Miles Wernick, Illinois Institute of Technology, USA; Hendrik Pretorius, Michael King, University of Massachusetts Medical School, USA
TEC-P8.28—PERFORMANCE ANALYSIS OF THE GAIN CORRECTION IN RADIOGRAPHY IMAGING
Dong Sik Kim, Hankuk University of Foreign Studies, Korea; Eun Kim, Sanggyun Lee, DRTECH Co., Korea
TEC-P8.29—ELLIPSES FROM TRIANGLES
Marcelo Cicconet, Kristin Gunsalus, Davi Geiger, New York University, USA; Michael Werman, Hebrew University of Jerusalem, Israel
TEC-P8.30—REGULARIZED ESTIMATION OF BLOCH-SIEGERT B1+ MAPS IN MRI
Hao Sun, University of Michigan, USA; Will Grissom, Vanderbilt University, USA; Jeff Fessler, University of Michigan, USA
TEC-P8.31—FAST MR IMAGE RECONSTRUCTION WITH ORTHOGONAL WAVELET REGULARIZATION VIA SHIFT-VARIANT SHRINKAGE
Matthew Muckley, Jeff Fessler, University of Michigan, USA
TEC-P9: Super-Resolution
Wednesday 16:10–18:10; Poster Session; Poster Area E
TEC-P9.1—DCT COEFFICIENTS GENERATION MODEL FOR FILM GRAIN NOISE AND ITS APPLICATION IN SUPER-RESOLUTION
Ting Sun, Hong Kong University of Science and Technology, Hong Kong; Luhong Liang, King Hung Chiu, ASTRI, Hong Kong; Pengfei Wan, Oscar Au, Hong Kong University of Science and Technology, Hong Kong
TEC-P9.2—SINGLE IMAGE SUPER-RESOLUTION USING SPARSE REPRESENTATIONS WITH STRUCTURE CONSTRAINTS
Julio Cesar Ferreira, University of Rennes 1 & Federal University of Uberlandia, France; Olivier Le Meur, University of Rennes 1, France; Christine Guillemot, INRIA, France; Eduardo da Silva, Universidade Federal do Rio de Janeiro & COPPE, Brazil; Gilberto Carrijo, Federal University of Uberlândia, Brazil
TEC-P9.3—HIERARCHICAL EXAMPLE-BASED RANGE-IMAGE SUPER-RESOLUTION WITH EDGE-PRESERVATION
Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, Indian Institute of Technology Mandi, India
TEC-P9.4—FRAME RATE UP-CONVERSION USING NONPARAMETRIC ESTIMATOR
Roozbeh Dehghannasiri, Texas A&M University, USA; S. M. Reza Soroushmehr, University of Michigan, USA; Shahram Shirani, McMaster University, Canada
TEC-P9.5—EXPLOITING IN-PLANE STRUCTURAL COMPLEXITY FOR SPARSITY BASED IMAGE SUPER-RESOLUTION
Yongqin Zhang, Jiaying Liu, Wei Bai, Zongming Guo, Peking University, P.R. China
TEC-P9.6—NON-ADDITIVE IMPRECISE IMAGE SUPER-RESOLUTION
Fares Graba, Frédéric Comby, Olivier Strauss, LIRMM University Montpellier II, France
TEC-P9.7—ITERATED NEIGHBOR-EMBEDDINGS FOR IMAGE SUPER-RESOLUTION
Mehmet Türkan, Dominique Thoreau, Philippe Guillotel, Technicolor, France
TEC-P9.8—A NOVEL TOTAL VARIATION OPTIMIZATION METHOD AND ITS APPLICATION ON BLIND SUPER-RESOLUTION
Ting Li, Panos Papamichalis, Southern Methodist University, USA
TEC-P9.9—SHEARLET-BASED SPARSE REPRESENTATION FOR SUPER-RESOLUTION IN DIFFUSION WEIGHTED IMAGING (DWI)
Jonathan Tarquino, Universidad Nacional de Colombia, Colombia; Andrea Rueda, Pontificia Universidad Javeriana, Colombia; Eduardo Romero, Universidad Nacional de Colombia, Colombia
TEC-P9.10—CONTENT ADAPTIVE SCREEN IMAGE SCALING
Yao Zhai, University of Science and Technology of China, P.R. China; Qifei Wang, Yan Lu, Shipeng Li, Microsoft Research Asia, P.R. China
TEC-P9.11—MODIFIED NEIGHBOR EMBEDDING-BASED FACE HALLUCINATION USING COUPLED MAPPINGS OF PARTIAL LEAST SQUARES
Yuanhong Hao, Chun Qi, Xi’an Jiaotong University, P.R. China
TEC-P9.12—NEW IMAGE SUPER RESOLUTION BY TEXTURE TRANSFER
Hyun-seung Lee, Samsung Electronics, Korea
TEC-P9.13—COUPLED K-SVD DICTIONARY TRAINING FOR SUPER-RESOLUTION
Jian Xu, Chun Qi, Xi’an Jiaotong University, P.R. China; Zhiguo Chang, Chang’an University, P.R. China
TEC-P9.14—IMAGE AMPLIFICATION BASED ON PIXEL-SPLITTING
Xiangyi Fu, Fei Zhou, Qingmin Liao, Tsinghua University, P.R. China
TEC-P9.15—CONTEXT-ADAPTIVE PANSHARPENING BASED ON BINARY PARTITION TREE SEGMENTATION
Mauro Dalla Mura, Grenoble Institute of Technology, France; Gemine Vivone, Rocco Restaino, University of Salerno, Italy; Jocelyn Chanussot, Grenoble Institute of Technology, France
TEC-P9.16—A CONFIDENCE GROWING MODEL FOR SUPER-RESOLUTION
Sina Lin, Yamaha Corp., Japan; Zengchang Qin, Renjie Liao, Tao Wan, Beihang University, P.R. China
ARS-L9: Image Classification
Thursday 10:30–12:30; Oral Session; Room: Leonard de Vinci
10:30 ARS-L9.1—ENSEMBLE MARGIN FRAMEWORK FOR IMAGE CLASSIFICATION
Li Guo, Samia Boukir, University of Bordeaux, France
10:50 ARS-L9.2—MULTI-TASK IMAGE CLASSIFICATION VIA COLLABORATIVE, HIERARCHICAL SPIKE-AND-SLAB PRIORS
Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Pennsylvania State University, USA; Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA
11:10 ARS-L9.3—A NOVEL KERNEL COLLABORATIVE REPRESENTATION APPROACH FOR IMAGE CLASSIFICATION
Weiyang Liu, Lijia Lu, Hui Li, Wei Wang, Yuexian Zou, Peking University, P.R. China
11:30 ARS-L9.4—INCREMENTAL LEARNING OF LATENT STRUCTURAL SVM FOR WEAKLY SUPERVISED IMAGE CLASSIFICATION
Thibaut Durand, Nicolas Thome, Matthieu Cord, Sorbonne Universités, France; David Picard, University of Cergy-Pontoise, France
11:50 ARS-L9.5—TISVM: LARGE MARGIN CLASSIFIER FOR MISALIGNED IMAGE CLASSIFICATION
Bin Shen, Purdue University, USA; Baodi Liu, China University of Petroleum, P.R. China; Jan Allebach, Purdue University, USA
12:10 ARS-L9.6—HOW MANY MORE IMAGES DO WE NEED? PERFORMANCE PREDICTION OF BOOTSTRAPPING FOR IMAGE CLASSIFICATION
Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece; Josef Kittler, University of Surrey, United Kingdom
BIO-L1: Bio-Inspired Image Processing
Thursday 10:30–12:30; Oral Session; Room: Ampere 1+3
10:30 BIO-L1.1—EXAMINING VISUAL SALIENCY PREDICTION IN NATURALISTIC SCENES
Shafin Rahman, Mrigank Rochan, Yang Wang, Neil Bruce, University of Manitoba, Canada
10:50 BIO-L1.2—SPARSE CODING WITH A GLOBAL CONNECTIVITY CONSTRAINT
Rajat Thomas, Netherlands Institute for Neuroscience, The Netherlands; Sarod Yatawatta, ASTRON, The Netherlands; Christian Keysers, Netherlands Institute for Neuroscience, The Netherlands
11:10 BIO-L1.3—A HOPFIELD RECURRENT NEURAL NETWORK TRAINED ON NATURAL IMAGES PERFORMS STATE-OF-THE-ART IMAGE COMPRESSION
Christopher Hillar, University of California, Berkeley & Redwood Center for Theoretical Neuroscience, USA; Ram Mehta, Redwood Center for Theoretical Neuroscience, USA; Kilian Koepsell, University of California, Berkeley & Redwood Center for Theoretical Neuroscience, USA
11:30 BIO-L1.4—IMAGE/VIDEO CODING BASED ON EVOLUTIVE UNIDIRECTIONAL TRANSFORMS
Seishi Takamura, Atsushi Shimizu, NTT, Japan
11:50 BIO-L1.5—COMPARISON OF TEXTURE FEATURES FOR
HUMAN EMBRYONIC STEM CELLS WITH BIO-INSPIRED MULTI-CLASS SUPPORT VECTOR
MACHINE
Benjamin Guan, Bir Bhanu, Prue Talbot, Sabrina Lin, Nikki Weng, University of California, Riverside, USA
12:10 BIO-L1.6—UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATION FOR ASYNCHRONOUS EVENT-BASED CAMERAS
Lionel Fillatre, Marc Antonini, Université de Nice Sophia Antipolis, France
COM-L1: Video Coding
Thursday 10:30–12:30; Oral Session; Room: Ampere 5+6
10:30 COM-L1.1—FAST PARTITIONING ALGORITHM FOR HEVC INTRA FRAME CODING USING MACHINE LEARNING
Damian Ruiz, Universitat Politècnica de València, Spain; Velibor Adzic, Florida Atlantic University, USA; Gerardo Fernandez, University of Castilla-La Mancha, Spain; Hari Kalva, Florida Atlantic University, USA; Jose Luis Martinez, Pedro Cuenca, University of Castilla-La Mancha, Spain
10:50 COM-L1.2—A FAST INTRA CODING ALGORITHM FOR HEVC
Yang Wang, Xiaopeng Fan, Liang Zhao, Harbin Institute of Technology, P.R. China; Siwei Ma, Peking University, P.R. China; Debin Zhao, Harbin Institute of Technology, P.R. China; Wen Gao, Peking University, P.R. China
11:10 COM-L1.3—HEVC INTRA CODING OF ULTRA HD VIDEO WITH REDUCED COMPLEXITY
Nicolas Dhollande, bcom, France; Olivier Le Meur, University of Rennes 1, France; Christine Guillemot, INRIA, France
11:30 COM-L1.4—SINGULAR VECTOR DECOMPOSITION BASED ADAPTIVE TRANSFORM FOR MOTION COMPENSATION RESIDUALS
Xiaoran Cao, Yun He, Tsinghua University, P.R. China
11:50 COM-L1.5—CODING OF DISTORTION-CORRECTED FISHEYE VIDEO SEQUENCES USING H.265/HEVC
Andrea Eichenseer, Andre Kaup, University of Erlangen-Nuremberg, Germany
12:10 COM-L1.6—A PRE-FILTERING APPROACH TO EXPLOIT DECOUPLED PREDICTION AND TRANSFORM BLOCK STRUCTURES IN VIDEO CODING
Yue Chen, Kenneth Rose, University of California, Santa Barbara, USA; Jingning Han, Debargha Mukherjee, Google, USA
IFS-L1: Data Hiding
Thursday 10:30–12:30; Oral Session; Room: Dickens 3+4
10:30 IFS-L1.1—HYBRID WEIGHTED-STEGO DETECTION USING MACHINE LEARNING
Lionel Fillatre, Muriel Dumontet, Wafa Bel Haj Ali, Marc Antonini, Michel Barlaud, Université de Nice Sophia Antipolis, France
10:50 IFS-L1.2—A NEW COST FUNCTION FOR SPATIAL IMAGE STEGANOGRAPHY
Bin Li, Ming Wang, Jiwu Huang, Shenzhen University, P.R. China; Xiaolong Li, Peking University, P.R. China
11:10 IFS-L1.3—A NEW LOOK AT ML STEP-SIZE ESTIMATION FOR SCALAR COSTA SCHEME DATA HIDING
Gabriel Dominguez-Conde, Pedro Comesaña, Fernando Pérez-González, University of Vigo, Spain
11:30 IFS-L1.4—REVERSIBLE DATA HIDING BASED ON TWO-DIMENSIONAL HISTOGRAM AND GENERALIZED HISTOGRAM SHIFTING
Kazuki Yamato, Kazuma Shinoda, Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan
11:50 IFS-L1.5—GENERALIZATIONS OF THE KUZNETSOV-TSYBAKOV PROBLEM FOR GENERATING IMAGE-LIKE 2D BARCODES
Jaroslaw Duda, Neeraj Gadgil, Khalid Tahboub, Ed Delp, Purdue University, USA
12:10 IFS-L1.6—RECOVERING PLANAR PROJECTIONS OF PRINTED CLUSTERED-DOT HALFTONES
Stephen Pollard, Robert Ulichney, Matthew Gaubatz, Hewlett Packard, United Kingdom
SS18: Behavior Imaging
Thursday 10:30–12:30; Oral Session; Room: Dickens 1+2
Session Chair: Severine Dubuisson, Institut des Système Intelligents et de Robotique
10:30 SS18.1—AN AUGMENTED REPRESENTATION OF ACTIVITY IN VIDEO USING SEMANTIC-CONTEXT INFORMATION
Samir Khoualed, University of Clermont, France; Thierry Chateau, Institut Pascal, France; Umberto Castellani, University of Verona, Italy; Chafik Samir, University of Clermont, France
10:50 SS18.2—3D TRAJECTORIES FOR ACTION RECOGNITION
Michal Koperski, Piotr Bilinski, Francois Bremond, INRIA, France
11:10 SS18.3—CONTACTLESS MEASUREMENT OF MUSCLES FATIGUE BY TRACKING FACIAL FEATURE POINTS IN A VIDEO
Ramin Irani, Kamal Nasrollahi, Thomas Moeslund, Aalborg University, Denmark
11:30 SS18.4—AUTOMATED BOBBING AND PHASE ANALYSIS TO MEASURE WALKING ENTRAINMENT TO MUSIC
Adolfo López-Méndez, Fezoo, Spain; Carina Westling, University of Sussex, Brighton, United Kingdom; Rémi Emonet, Laboratoire Hubert Curien, Saint-Étienne, France; Matt Easteal, Brighton & Hove Council, United Kingdom; Lisa Lavia, Noise Abatement Society, Brighton, United Kingdom; Harry Witchel, Brighton and Sussex Medical School, United Kingdom; Jean-Marc Odobez, IDIAP, Switzerland
11:50 SS18.5—AUTOMATIC ANALYSIS OF FACIAL ATTRACTIVENESS FROM VIDEO
Sacide Kalayci, Istanbul Technical University, Turkey; Hazim Ekenel, Karlsruhe Institute of Technology, Germany; Hatice Gunes, Queen Mary University of London, United Kingdom
12:10 SS18.6—CONTINUOUS PREDICTION OF PERCEIVED TRAITS AND SOCIAL DIMENSIONS IN SPACE AND TIME
Oya Celiktutan, Hatice Gunes, Queen Mary University of London, United Kingdom
SS7: Advances in Optimization for Inverse Imaging Problems
Thursday 10:30–12:30; Oral Session; Room: Ampere 7+8
Session Chair: Jalal Fadili, CNRS and Greyc, ENSICAEN
10:30 SS7.1—A FORWARD-BACKWARD VIEW OF SOME PRIMAL-DUAL OPTIMIZATION METHODS IN IMAGE RECOVERY
Patrick Combettes, University Paris 6, France; Laurent Condat, University of Grenoble-Alpes, France; Jean-Christophe Pesquet, Université Paris-Est, France; Bang Cong Vu, Istituto Italiano di Tecnologia and MIT, Italy
10:50 SS7.2—ON THE CONVERGENCE RATES OF PROXIMAL SPLITTING ALGORITHMS
Jingwei Liang, Jalal Fadili, Greyc, ENSICAEN, France; Gabriel Peyré, CNRS and Université Paris-Dauphine, France
11:10 SS7.3—THRESHOLDING RULES AND ITERATIVE SHRINKAGE/THRESHOLDING ALGORITHM: A CONVERGENCE STUDY
Matthieu Kowalski, Univ Paris-Sud, France
11:30 SS7.4—PRIMAL-DUAL FIRST ORDER METHODS FOR TOTAL VARIATION IMAGE RESTORATION IN PRESENCE OF POISSON NOISE
Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero, Università di Ferrara, Italy
11:50 SS7.5—PRIMAL-DUAL INTERIOR-POINT OPTIMIZATION BASED ON MAJORIZATION-MINIMIZATION FOR EDGE-PRESERVING SPECTRAL UNMIXING
Maxime Legendre, Saïd Moussaoui, Ecole Centrale de Nantes, France; Emilie Chouzenoux, Université Paris-Est Marne-la-Vallée, France; Jérôme Idier, IRCCyN, France
12:10 SS7.6—HYPERSPECTRAL IMAGE SUPERRESOLUTION: AN EDGE-PRESERVING CONVEX FORMULATION
Miguel Simões, José Bioucas Dias, Luís Almeida, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal; Jocelyn Chanussot, Grenoble Institute of Technology, France
ARS-P12: Segmentation
Thursday 10:30–12:30; Poster Session; Poster Area B
ARS-P12.1—INCORPORATING TEXTURE INFORMATION INTO REGION-BASED UNSUPERVISED IMAGE SEGMENTATION USING TEXTURAL SUPERPIXELS
Chih-Yu Hsu, Yi-Yu Hsieh, Kuo-Hua Lo, Jen-Hui Chuang, National Chiao Tung University, Taiwan
ARS-P12.2—AUTOMATIC DEFOCUS SPECTRAL MATTING
Hui Zhou, Timo Ahonen, Nokia, USA
ARS-P12.3—IMAGE SEGMENTATION BY IMAGE FORESTING TRANSFORM WITH GEODESIC BAND CONSTRAINTS
Caio Braz, Paulo Miranda, University of São Paulo, Brazil
ARS-P12.4—ON THE IMPLEMENTATION OF THE MULTI-PHASE REGION SEGMENTATION, SOLVING THE HIDDEN PHASE PROBLEM
Vincent Israel-Jost, University Louvain-la-Neuve, Belgium; Jérôme Darbon, University of California Los Angeles, USA; Elsa Angelini, Isabelle Bloch, Télécom ParisTech, France
ARS-P12.5—WATERPIXELS: SUPERPIXELS BASED ON THE WATERSHED TRANSFORMATION
Vaïa Machairas, Decencière Etienne, Thomas Walter, MINES ParisTech, France
ARS-P12.6—UNSUPERVISED TEXTURE SEGMENTATION USING MONOGENIC CURVELETS AND THE POTTS MODEL
Martin Storath, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Andreas Weinmann, Helmholtz Zentrum München, Germany; Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland
ARS-P12.7—RESIDUAL APPROACH ON A HIERARCHICAL SEGMENTATION
Beatriz Marcotegui, MINES ParisTech, France
ARS-P12.8—A MODEL FOR SIMULATING USER INTERACTION IN HIERARCHICAL SEGMENTATION
Bruno Klava, Nina Hirata, University of São Paulo, Brazil
ARS-P12.9—STREAMING HIERARCHICAL VIDEO SEGMENTATION BASED ON AN OBSERVATION SCALE
Kleber Souza, Arnaldo Araújo, Federal University of Minas Gerais, Brazil; Philippe Gosselin, University of Cergy-Pontoise, France; Zenilton Patrocínio, Silvio Guimarães, Federal University of Minas Gerais, Brazil
ARS-P12.10—EIKONAL-BASED VERTICES GROWING AND ITERATIVE SEEDING FOR EFFICIENT GRAPH-BASED SEGMENTATION
Pierre Buyssens, Matthieu Toutain, Abderrahim Elmoataz, Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France
ARS-P12.11—SUPERVISED TEXTURE SEGMENTATION USING 2D LSTM NETWORKS
Wonmin Byeon, Thomas Breuel, Technical University of Kaiserslautern, Germany
ARS-P12.12—ELASTIC BODY SPLINE BASED IMAGE SEGMENTATION
Sachin Meena, Surya Prasath, Kannappan Palaniappan, University of Missouri-Columbia, USA; Guna Seetharaman, Air Force Research Lab, USA
ARS-P12.13—ROBUST INTERACTIVE IMAGE SEGMENTATION VIA ITERATIVE REFINEMENT
Yao Peng, Juyong Zhang, Yancheng Yuan, University of Science and Technology of China, P.R. China; Shuyuan Zhu, University of Electronic Science and Technology of China, P.R. China; Lu Fang, University of Science and Technology of China, P.R. China
ARS-P12.14—STREAMING SPATIO-TEMPORAL VIDEO SEGMENTATION USING GAUSSIAN MIXTURE MODEL
Dibyendu Mukherjee, Jonathan Wu, University of Windsor, Canada
ARS-P12.15—OPTIMAL SPATIAL SCALE FOR LOCAL REGION-BASED ACTIVE CONTOURS
Djamal Boukerroui, Université de Technologie de Compiègne, France
ARS-P12.16—FAST, ROBUST AND OCCLUSION RESILIENT MOTION BASED VIDEO SEGMENTATION
Nikolaos Dimitriou, Anastasios Delopoulos, Aristotle University of Thessaloniki, Greece
ARS-P12.17—IMPROVING SUPERPIXEL-BASED IMAGE SEGMENTATION BY INCORPORATING COLOR COVARIANCE MATRIX MANIFOLDS
Xianbin GU, Jeremiah Deng, Martin Purvis, University of Otago, New Zealand
ARS-P12.18—SCENE SEGMENTATION FROM DEPTH AND COLOR DATA DRIVEN BY SURFACE FITTING
Giampaolo Pagnutti, Pietro Zanuttigh, University of Padova, Italy
ARS-P12.19—UNSUPERVISED CO-SEGMENTATION BASED ON A NEW GLOBAL GMM CONSTRAINT IN MRF
Hongkai Yu, Min Xian, Xiaojun Qi, Utah State University, USA
ARS-P12.20—A NEW APPROACH FOR MULTIPHASE PIECEWISE SMOOTH IMAGE SEGMENTATION
Ying Gu, Wei Xiong, Institute for Infocomm Research, Singapore; Li-Lian Wang, Nanyang Technology University, Singapore; Jierong Cheng, Weimin Huang, Jiayin Zhou, Institute for Infocomm Research, Singapore
ARS-P12.21—MERGING DOMINANT SETS AND DBSCAN FOR ROBUST CLUSTERING AND IMAGE SEGMENTATION
Jian Hou, Chunshi Sha, Lei Chi, Bohai University, P.R. China; Qi Xia, Naiming Qi, Harbin Institute of Technology, P.R. China
ARS-P12.22—BLURRED IMAGE REGION DETECTION AND SEGMENTATION
Hyukzae Lee, Changick Kim, Korea Advanced Institute of Science and Technology, Korea
ARS-P12.23—FLOODING BASED SUPERPIXELS GENERATION WITH COLOR, COMPACTNESS AND SMOOTHNESS CONSTRAINTS
Xiao Pan, Yuanfeng Zhou, Caiming Zhang, Qian Liu, Shandong University, P.R. China
ARS-P12.24—LEARNING SUPERPIXEL RELATIONS FOR SUPERVISED IMAGE SEGMENTATION
Marco Manfredi, Costantino Grana, Rita Cucchiara, Università degli Studi di Modena e Reggio Emilia, Italy
ARS-P12.25—IMAGE EDITING USING LEVEL SET TREES
Anastasia Dubrovina, Rom Hershkovitz, Ron Kimmel, Technion, Israel
ARS-P12.26—A SCANNING ELECTRON MICROSCOPE IMAGE SEGMENTATION METHOD FOR STEAM GENERATOR FOULING RATE ESTIMATION
Vincent Le Guen, Nicolas Paul, EDF R&D, France
ARS-P12.27—AGGLOMERATIVE CLUSTERING FOR FEATURE POINT GROUPING
Maria Scalzo, Syracuse University & AFRL Information Directorate, USA; Senem Velipasalar, Syracuse University, USA
ARS-P12.28—JACCARD INDEX COMPENSATION FOR OBJECT SEGMENTATION EVALUATION
Ran Shi, King Ngan, Songnan Li, Chinese University of Hong Kong, Hong Kong
ARS-P12.29—MORPHOLOGICAL FLOODINGS AND OPTIMAL CUTS IN HIERARCHIES
Jean Cousty, Laurent Najman, Université Paris-Est, France
ARS-P12.30—COLOR-BASED SKIN SEGMENTATION: AN EVALUATION OF THE STATE OF THE ART
Frerk Saxen, Ayoub Al-Hamadi, Otto von Guericke University Magdeburg, Germany
ARS-P13: Synthesis and Rendering
Thursday 10:30–12:30; Poster Session; Poster Area D
ARS-P13.1—EXPRESSIVE FACIAL ANIMATION FROM VIDEOS
Changwei Luo, University of Science and Technology of China, P.R. China; Chen Jiang, Chinese Academy of Sciences, P.R. China; Jun Yu, Zengfu Wang, University of Science and Technology of China, P.R. China
ARS-P13.2—A SMARTER EXEMPLAR-BASED INPAINTING ALGORITHM USING LOCAL AND GLOBAL HEURISTICS FOR MORE GEOMETRIC COHERENCE
Maxime Daisy, Pierre Buyssens, David Tschumperlé, Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France
ARS-P13.3—RELIGHTING FROM MULTIPLE COLOR AND DEPTH IMAGES USING MATRIX FACTORIZATION
Siying Liu, University of Illinois at Urbana-Champaign & A*STAR Singapore, USA; Minh Do, University of Illinois at Urbana-Champaign, USA
ARS-P13.4—LONG SCENE PANORAMA GENERATION FOR INDOOR ENVIRONMENT
Jie Hu, State University of New York at Buffalo, USA; Dongqing Zhang, Heather Yu, Huawei Research, USA; Chang Wen Chen, State University of New York at Buffalo, USA
ARS-P13.5—GABOR-BASED COVARIANCE MATRICES FOR FACE SKETCH SYNTHESIS
Jian Guan, Ruimin Hu, Junjun Jiang, Zhen Han, Wuhan University, P.R. China
ARS-P13.6—A FRAMEWORK OF CHANGING IMAGE EMOTION USING EMOTION PREDICTION
Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Cornell University, USA; Dongqing Zhang, Heather Yu, Huawei Research, USA
ARS-P13.7—EXAMPLE-BASED MOTION MANIPULATION
Pin-Ching Su, Hwann-Tzong Chen, Chia-Ming Cheng, National Tsing Hua University, Taiwan
ARS-P13.8—COLORBRUSH: ANIMATED DIFFUSION FOR INTUITIVE COLORIZATION SIMULATING WATER PAINTING
Nicolas Maerki, ETH Zurich, Switzerland; Oliver Wang, Disney Research Zurich, Switzerland; Markus Gross, ETH Zurich, Switzerland; Aljosa Smolic, Disney Research Zurich, Switzerland
ARS-P13.9—2D+T AUTOREGRESSIVE FRAMEWORK FOR VIDEO TEXTURE COMPLETION
Fabien Racape, Dimitar Doshkov, Martin Köppel, Fraunhofer Institut for Telecomunications, Heinrich-Hertz-Institut, Germany; Patrick Ndjiki-Nya, Fraunhofer-Gesellschaft, Germany
ARS-P13.10—RANDOMIZED TEXTURE FLOW ESTIMATION USING VISUAL SIMILARITY
Sunghwan Choi, Yonsei University, Korea; Dongbo Min, Advanced Digital Sciences Center, Singapore; Kwang Hoon Sohn, Yonsei University, Korea
ARS-P13.11—LOCALLY GAUSSIAN EXEMPLAR BASED TEXTURE SYNTHESIS
Lara Raad, Agnès Desolneux, Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France
ARS-P13.12—OPTIMAL UV SPACES FOR FACIAL MORPHABLE MODEL CONSTRUCTION
James Booth, Imperial College London & Great Ormond Street Hospital, United Kingdom; Stefanos Zafeiriou, Imperial College London, United Kingdom
ARS-P13.13—ALIASING-FREE SIMPLIFICATION OF SURFACE MESHES
Jean-Luc Peyrot, Frédéric Payan, Marc Antonini, Université de Nice Sophia Antipolis, France
ARS-P13.14—MESH-FREE SPARSE REPRESENTATION OF MULTIDIMENSIONAL LIDAR DATA
Kristian Damkjer, University of Central Florida & Harris Corporation, USA; Hassan Foroosh, University of Central Florida, USA
ARS-P13.15—SELF-SIMILARITY-BASED IMAGE COLORIZATION
Jiahao Pang, Oscar Au, Hong Kong University of Science and Technology, Hong Kong; Yukihiko Yamashita, Tokyo Institute of Technology, Japan; Yonggen Ling, Yuanfang Guo, Jin Zeng, Hong Kong University of Science and Technology, Hong Kong
ARS-P13.16—AUTOMATIC INPAINTING OF LINEARLY RELATED VIDEO FRAMES
Yudong Xiao, Jinli Suo, Liheng Bian, Lei Zhang, Qionghai Dai, Tsinghua University, P.R. China
ARS-P13.17—JOINT GAZE-CORRECTION AND BEAUTIFICATION OF DIBR-SYNTHESIZED HUMAN FACE VIA DUAL SPARSE CODING
Xianming Liu, Harbin Institute of Technology, P.R. China; Gene Cheung, National Institute of Informatics, Japan; Deming Zhai, Debin Zhao, Harbin Institute of Technology, P.R. China; Hiroshi Sankoh, Sei Naito, KDDI R&D Laboratories, Japan
ARS-P13.18—ROBUST VIRTUAL FRONTAL FACE SYNTHESIS FROM A GIVEN POSE USING REGULARIZED LINEAR REGRESSION
Yuanhong Hao, Chun Qi, Xi’an Jiaotong University, P.R. China
ARS-P14: Boundary and Shape Analysis
Thursday 10:30–12:30; Poster Session; Poster Area E
ARS-P14.1—OCCLUSION BOUNDARY DETECTION BASED ON MID-LEVEL FIGURE/GROUND ASSIGNMENT FEATURES
Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi, Nippon Telegraph and Telephone Corporation, Japan
ARS-P14.2—GLOBAL SAMPLING OF IMAGE EDGES
Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas, University of Ioannina, Greece
ARS-P14.3—TOPOLOGICAL STACKING GRAYSCALE THINNING FOR EDGE DETECTION AND REAL-TIME APPLICATIONS
Diogo Costa, Carlos Mello, Federal University of Pernambuco, Brazil
ARS-P14.4—DIRECTION SELECTIVE VECTOR FIELD CONVOLUTION FOR CONTOUR DETECTION
Andrea Manno-Kovacs, Hungarian Academy of Sciences, Hungary
ARS-P14.5—A SIMPLE AND EFFICIENT ALGORITHM FOR DOT PATTERNS RECONSTRUCTION
Mahmoud Melkemi, Mounir Elbaz, Université Haute Alsace, France
ARS-P14.6—SYMMETRIC POLYNOMIALS FOR 2D SHAPE REPRESENTATION
Renato Negrinho, Pedro Aguiar, Instituto Superior Técnico, Portugal
ARS-P14.7—BIHARMONIC DENSITY ESTIMATE – A SCALE SPACE SIGNATURE FOR DEFORMABLE SURFACES
Anirban Mukhopadhyay, Suchendra Bhandarkar, University of Georgia, USA
ARS-P14.8—AN OPTIMAL ELASTIC PARTIAL SHAPE MATCHING VIA SHAPE GEODESICS
Mayss’aa Merhy, Abdesslam Benzinou, Kamal Nasreddine, Ecole Nationale d’Ingénieurs de Brest, France; Mohamad Khalil, Lebanese University, Lebanon; Ghaleb Faour, National Council for Scientific Research, Lebanon
ARS-P14.9—GEODESICS-BASED STATISTICAL SHAPE ANALYSIS
Michel Abboud, Abdesslam Benzinou, Kamal Nasreddine, Ecole Nationale d’Ingénieurs de Brest, France; Mustapha Jazar, Lebanese University, France
ARS-P14.10—NON-RIGID POINT SET REGISTRATION FOR CHINESE CHARACTERS USING STRUCTURE-GUIDED COHERENT POINT DRIFT
Hao Sun, Zhouhui Lian, Yingmin Tang, Jianguo Xiao, Peking University, P.R. China
ARS-P14.11—A CONTRARIO DETECTION OF GOOD CONTINUATION OF POINTS
Jose Lezama, Ecole Normale Supérieure de Cachan & Universidad de la Republica, France; Rafael Grompone von Gioi, Ecole Normale Supérieure de Cachan, France; Gregory Randall, Universidad de la Republica, Uruguay; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France
ARS-P14.12—PROBABILITY DENSITY FUNCTION OF OBJECT CONTOURS USING REGIONAL REGULARIZED STOCHASTIC WATERSHED
Fernando López-Mir, Valery Naranjo, Sandra Morales, Universitat Politècnica de València, Spain; Jesus Angulo, MINES ParisTech, France
ARS-P14.13—SELECTIVE AND ROBUST D-DIMENSIONAL PATH OPERATORS
Francois Cokelaer, IFP Energies Nouvelles, France; Mauro Dalla Mura, Grenoble Institute of Technology, France; Hugues Talbot, Universite Paris-East, France; Jocelyn Chanussot, Grenoble Institute of Technology, France
SMR-P3: Statistical Models
Thursday 10:30–12:30; Poster Session; Poster Area A
SMR-P3.1—A NON-PARAMETRIC APPROACH FOR THE ESTIMATION OF INTENSITY-FREQUENCY DEPENDENT NOISE
Miguel Colom, Universitat de les Illes Balears, Spain; Marc Lebrun, Ecole Normale Supérieure de Cachan, France; Antoni Buades, Universitat de les Illes Balears, Spain; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France
SMR-P3.2—NON-STATIONARY TEXTURE SYNTHESIS FROM RANDOM FIELD MODELING
Abdourrahmane Atto, Zhangyun Tan, University of Savoie, France; Olivier Alata, University Jean Monnet, France; Maxime Moreaud, IFP Energies Nouvelles, France
SMR-P3.3—BAYESIAN TEXTURE AND INSTRUMENT PARAMETER ESTIMATION FROM BLURRED AND NOISY IMAGES USING MCMC
Cornelia Vacar, Jean-François Giovannelli, Yannick Berthoumieu, University of Bordeaux, France
SMR-P3.4—HOMOGENEITY CLASSIFICATION FOR SIGNAL-DEPENDENT NOISE ESTIMATION IN IMAGES
Meisam Rakhshanfar, Aishy Amer, Concordia University, Canada
SMR-P3.5—MAXIMUM LIKELIHOOD EXTENSION FOR NON-CIRCULANT DECONVOLUTION
Javier Portilla, Consejo Superior de Investigaciones Científicas (CSIC), Spain
SMR-P3.6—STATISTICAL MODELLING FOR ENHANCED OUTLIER DETECTION
Nicola Piotto, Giovanni Cordara, Huawei Technologies, Germany
SMR-P3.7—STATISTICAL MORPHABLE MODEL FOR THE HUMAN TEETH RESTORATION
Eslam Mostafa, University of Louisville, USA; Shireen Elhabian, Cairo University, Egypt; Aly Abdelrahim, University of Louisville, USA; Salwa Elshazly, Kentucky Imaging Technologies, USA; Aly Farag, University of Louisville, USA
SMR-P3.8—EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES
Mohammad Javad Shafiee, Alexander Wong, University of Waterloo, Canada; Parthipan Siva, Aimetis, Canada; Paul Fieguth, University of Waterloo, Canada
SMR-P3.9—DIGITAL CRADLE REMOVAL IN X-RAY IMAGES OF ART PAINTINGS
Rujie Yin, David Dunson, Duke University, USA; Bruno Cornelis, Vrije Universiteit Brussel, Belgium; Bill Brown, Noelle Ocon, North Carolina Museum of Art, USA; Ingrid Daubechies, Duke University, USA
SMR-P3.10—MODELING CORRELATION BETWEEN MULTI-MODAL CONTINUOUS WORDS FOR PLSA-BASED VIDEO CLASSIFICATION
Cencen Zhong, Zhenjiang Miao, Beijing Jiaotong University, P.R. China
SMR-P3.11—OPTICAL CHARACTER RECOGNITION USING TRANSFER LEARNING DECISION FORESTS
Norberto Goussies, Sebastian Ubalde, Francisco Gómez Fernández, Marta Mejail, Universidad de Buenos Aires, Argentina
SMR-P3.12—STABILITY EVALUATION OF NEURAL AND BAYESIAN CLASSIFIERS: A NEW INSIGHT
Ibtissem Ben Othman, Faouzi Ghorbel, L´Ecole Nationale des Sciences de l´Informatique, Tunisia
SMR-P3.13—ON THE AMPLITUDE AND PHASE COMPUTATION OF THE AM-FM IMAGE MODEL
Chuong Nguyen, Joseph Havlicek, University of Oklahoma, USA
SMR-P3.14—IMAGE SALIENCY DETECTION VIA MULTI-SCALE STATISTICAL NON-REDUNDANCY MODELING
Christian Scharfenberger, Aanchal Jain, Alexander Wong, Paul Fieguth, University of Waterloo, Canada
TEC-P10: Restoration and Enhancement
Thursday 10:30–12:30; Poster Session; Poster Area C
TEC-P10.1—BLIND ESTIMATION OF PIXEL BRIGHTNESS TRANSFORM
Xing Zhang, Siwei Lyu, State University of New York at Albany, USA
TEC-P10.2—EXPLOITING IMAGE STRUCTURAL SIMILARITY FOR SINGLE IMAGE RAIN REMOVAL
Shao-Hua Sun, Shang-Pu Fan, National Taiwan University, Taiwan; Yu-Chiang Wang, Academia Sinica, Taiwan
TEC-P10.3—COMBINING LONG-RANGE DEPENDENCIES WITH PHASE INFORMATION IN NATURAL STOCHASTIC TEXTURE ENHANCEMENT
Ido Zachevsky, Yehoshua Zeevi, Technion, Israel
TEC-P10.4—UNDERSTANDING IMAGE PRIORS IN BLIND DECONVOLUTION
Filip Šroubek, Václav Šmídl, Jan Kotera, Institute of Information Theory and Automation, Czech Republic
TEC-P10.5—AN INTEGER TONE MAPPING OPERATION FOR HDR IMAGES IN OPENEXR WITH DENORMALIZED NUMBERS
Tatsuya Murofushi, Toshiyuki Dobashi, Tokyo Metropolitan University, Japan; Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
TEC-P10.6—SINGLE IMAGE HAZE REMOVAL USING NOVEL ESTIMATION OF ATMOSPHERIC LIGHT AND TRANSMISSION
Hyungjo Park, Dubok Park, Korea University, Korea; K. Han David, Office of Naval Research, USA; Hanseok Ko, Korea University, Korea
TEC-P10.7—NON-BLIND IMAGE RESTORATION WITH SYMMETRIC GENERALIZED PARETO PRIORS
Xing Mei, State University of New York at Albany, USA; Bao-Gang Hu, Chinese Academy of Sciences, P.R. China; Siwei Lyu, State University of New York at Albany, USA
TEC-P10.8—CONTRAST ENHANCEMENT WITH CHROMATICITY ERROR BOUND
Zhenhao Li, Xiaolin Wu, McMaster University, Canada
TEC-P10.9—A REGIONAL MULTIMODULUS ALGORITHM FOR BLIND IMAGE DECONVOLUTION
Joao Mendes Filho, Maria Miranda, Magno Silva, University of São Paulo, Brazil
TEC-P10.10—GRID WARPING IN TOTAL VARIATION IMAGE ENHANCEMENT METHODS
Andrey Nasonov, Andrey Krylov, Lomonosov Moscow State University, Russia
TEC-P10.11—AN EFFECTIVE IMAGE RESTORATION USING KULLBACK-LEIBLER DIVERGENCE MINIMIZATION
Muhammad Hanif, The Australian National University, Australia; Abd-krim Seghouane, The University of Melbourne, Australia
TEC-P10.12—DEPTH-GUIDED ADAPTIVE CONTRAST ENHANCEMENT USING 2D HISTOGRAMS
Jun-Tae Lee, Chulwoo Lee, Korea University, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea
TEC-P10.13—IMAGE ENHANCEMENT AND DYNAMIC RANGE
COMPRESSION USING NOVEL INTENSITY-SPECIFIC STOCHASTIC RESONANCE-BASED
PARAMETRIC IMAGE ENHANCEMENT MODEL
Rajlaxmi Chouhan, Prabir Kumar Biswas, Indian Institute of Technology Kharagpur, India
TEC-P10.14—IMAGE DECONVOLUTION USING TREE-STRUCTURED BAYESIAN GROUP SPARSE MODELING
Ganchi Zhang, Timothy Roberts, Nick Kingsbury, University of Cambridge, United Kingdom
TEC-P10.15—SINGLE IMAGE DEHAZING BASED ON FAST WAVELET TRANSFORM WITH WEIGHTED IMAGE FUSION
Hong Zhang, Xuan Liu, Zhitong Huang, Ji Yuefeng, Beijing University of Posts and Telecommunications, P.R. China
TEC-P10.16—AN ALGORITHM FOR NONCONVEX FUNCTIONAL MINIMIZATION AND APPLICATIONS TO IMAGE RESTORATION
Tomeu Coll, Joan Duran, Catalina Sbert, University of Balearic Islands, Spain
TEC-P10.17—NIGHTTIME HAZE REMOVAL BASED ON A NEW IMAGING MODEL
Jing Zhang, Yang Cao, Zengfu Wang, University of Science and Technology of China, P.R. China
TEC-P10.18—SIMULTANEOUS DEBLUR AND SUPER-RESOLUTION TECHNIQUE FOR VIDEO SEQUENCE CAPTURED BY HAND-HELD VIDEO CAMERA
Yuki Matsushita, Hiroshi Kawasaki, Kagoshima University, Japan; Shintaro Ono, Katsushi Ikeuchi, University of Tokyo, Japan
TEC-P10.19—ARTIFACT REDUCTION OF COMPRESSED VIDEO VIA THREE-DIMENSIONAL ADAPTIVE ESTIMATION OF TRANSFORM COEFFICIENTS
Xinfeng Zhang, Graduate University of Chinese Academy of Sciences, P.R. China; Ruiqin Xiong, Siwei Ma, Wen Gao, Peking University, P.R. China
TEC-P10.20—WHAT IS THE RIGHT CENTER/SURROUND FOR RETINEX?
Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France; Ana Belén Petro, Catalina Sbert, University of Balearic Islands, Spain
TEC-P10.21—A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE
Xueyang Fu, Zhuang Peixian, Yue Huang, Yinghao Liao, Xiamen University, P.R. China; Xiao-Ping Zhang, Ryerson University, Canada; Xinghao Ding, Xiamen University, P.R. China
TEC-P10.22—RESTORATION OF ULTRASOUND IMAGES USING A HIERARCHICAL BAYESIAN MODEL WITH A GENERALIZED GAUSSIAN PRIOR
Ningning Zhao, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret, University of Toulouse, France
TEC-P10.23—INCOHERENT DICTIONARY LEARNING FOR SPARSE REPRESENTATION BASED IMAGE RESTORATION
Jin Wang, Beijing University of Technology, P.R. China; Jian-Feng Cai, University of Iowa, USA; Yunhui Shi, Baocai Yin, Beijing University of Technology, P.R. China
TEC-P10.24—PHASE IMAGING VIA SPARSE CODING IN THE COMPLEX DOMAIN BASED ON HIGH-ORDER SVD AND NONLOCAL BM3D TECHNIQUES
Vladimir Katkovnik, Karen Egiazarian, Tampere University of Technology, Finland; José Bioucas Dias, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal
TEC-P10.25—4DGVF-BASED FILTERING OF VECTOR-VALUED IMAGES
Vincent Jaouen, Paulo Gonzalez, Denis Guilloteau, Université de Tours, France; Irene Buvat, Universidad Católica del Maule, Chile; Clovis Tauber, Université de Tours, France
TEC-P10.26—ADAPTIVE SCALE SELECTION FOR MULTIRESOLUTION DEFOCUS BLUR ESTIMATION
Ali Karaali, Claudio Jung, Universidade Federal do Rio Grande do Sul, Brazil
TEC-P10.27—MOTION BLUR KERNEL ESTIMATION USING NOISY INERTIAL DATA
Ruiwen Zhen, Robert Stevenson, University of Notre Dame, USA
TEC-P10.28—ROBUST PAN-SHARPENING VIA COLOR SAMPLES RELOCATION AND EDGE AWARE INTERPOLATION
Min Haeng Lee, Korea Advanced Institute of Science and Technology, Korea; Myung Jin Choi, Korea Aerospace Research Institute, Korea; Yu-Wing Tai, Korea Advanced Institute of Science and Technology, Korea
TEC-P10.29—SPARSITY-DRIVEN RECONSTRUCTION OF $\ELL_\INFTY$-DECODED IMAGES
Yuanman Li, Jiantao Zhou, University of Macau, Macao
ARS-L10: Tracking
Thursday 14:00–16:00; Oral Session; Room: Leonard de Vinci
14:00 ARS-L10.1—OCCLUSION-AWARE HMM-BASED TRACKING BY LEARNING
Tu?han Marpuç, Aydin Alatan, Middle East Technical University, Turkey
14:20 ARS-L10.2—JOINT SPARSITY-BASED ROBUST VISUAL TRACKING
Behzad Bozorgtabar, University of Canberra, Australia; Roland Göcke, Australian National University & University of Canberra, Australia
14:40 ARS-L10.3—OBJECT TRACKING WITH PART-BASED DISCRIMINATIVE CONTEXT MODELS
Guibo Zhu, Jinqiao Wang, Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, P.R. China
15:00 ARS-L10.4—ROBUST PATCH-BASED TRACKING USING VALID PATCH SELECTION AND FEATURE FUSION UPDATE
Wenbei Mao, Jin Zheng, Bo Li, Beihang University, P.R. China
15:20 ARS-L10.5—TRACKING DEFORMABLE PARTS VIA DYNAMIC CONDITIONAL RANDOM FIELDS
Suofei Zhang, Nanjing University of Posts and Telecommunications, P.R. China; Xu Cheng, Southeast University, P.R. China; Haiyan Guo, Nanjing Agricultural University, P.R. China; Lin Zhou, Zhenyang Wu, Southeast University, P.R. China
15:40 ARS-L10.6—DENSE NON-RIGID VISUAL TRACKING WITH A ROBUST SIMILARITY FUNCTION
Bertrand Delabarre, Université Rennes 1, France; Eric Marchand, IRISA – INRIA Rennes, France
COM-L2: Image Coding
Thursday 14:00–16:00; Oral Session; Room: Ampere 5+6
14:00 COM-L2.1—CLOUD-BASED DISTRIBUTED IMAGE CODING
Xiaodan Song, Xidian University, P.R. China; Xiulian Peng, Ji-Zheng Xu, Feng Wu, Microsoft Research Asia, P.R. China
14:20 COM-L2.2—LOSSY IMAGE CODING IN THE PIXEL DOMAIN USING A SPARSE STEERING KERNEL SYNTHESIS APPROACH
Ruben Verhack, Ghent University – iMinds & Technische Universität Berlin, Belgium; Andreas Krutz, quavideo.de, USA; Peter Lambert, Rik Van de Walle, Ghent University – iMinds, Belgium; Thomas Sikora, Technische Universität Berlin, Germany
14:40 COM-L2.3—NON-CAUSAL ENCODING OF PREDICTIVELY CODED SAMPLES
Onur Guleryuz, Amir Said, Sehoon Yea, LG Electronics, USA
15:00 COM-L2.4—IMAGE COMPRESSION BASED ON TASK-SPECIFIC INFORMATION
Lingling Pu, Michael W. Marcellin, Ali Bilgin, Amit Ashok, University of Arizona, USA
15:20 COM-L2.5—COLOUR IMAGE COMPRESSION WITH ANISOTROPIC DIFFUSION
Pascal Peter, Joachim Weickert, Saarland University, Germany
15:40 COM-L2.6—EVALUATION OF CONTEXT MODELS TO CODE WAVELET-TRANSFORMED HYPERSPECTRAL IMAGES
Francesc Auli-Llinas, Pablo Enfedaque, Joan Serra-Sagrista, Universitat Autonoma de Barcelona, Spain; Victor Sanchez, University of Warwick, United Kingdom
SMR-L3: Sparse Representations
Thursday 14:00–16:00; Oral Session; Room: Dickens 3+4
14:00 SMR-L3.1—LEARNING A SPARSE DICTIONARY OF VIDEO STRUCTURE FOR ACTIVITY MODELING
Nandita Nayak, Amit Roy-Chowdhury, University of California, Riverside, USA
14:20 SMR-L3.2—LEARNING MULTI-SCALE SPARSE REPRESENTATION FOR VISUAL TRACKING
Zhengjian Kang, Edward Wong, New York University, USA
14:40 SMR-L3.3—HIERARCHICAL IMAGE REPRESENTATION VIA MULTI-LEVEL SPARSE CODING
Keyu Lu, Jian Li, Xiangjing Xiangjing An, Hangen He, National University of Defense Technology, P.R. China
15:00 SMR-L3.4—DALM-SVD: ACCELERATED SPARSE CODING THROUGH SINGULAR VALUE DECOMPOSITION OF THE DICTIONARY
Hugo Goncalves, University of Porto & Carnegie Mellon University, Portugal; Miguel Correia, University of Porto, Portugal; Xin Li, Aswin Sankaranarayanan, Carnegie Mellon University, USA; Vitor Grade Tavares, University of Porto, Portugal
15:20 SMR-L3.5—LDA BASED COMPACT AND DISCRIMINATIVE DICTIONARY LEARNING FOR SPARSE CODING
Jiayong Chen, Xiangmin Xu, Chunmei Qing, Jianxiu Jin, South China University of Technology, P.R. China
15:40 SMR-L3.6—KERNEL TAPERING: A SIMPLE AND EFFECTIVE APPROACH TO SPARSE KERNELS FOR IMAGE PROCESSING
Bin Shen, Zenglin Xu, Jan Allebach, Purdue University, USA
SS1: Variational and Morphological Optimizations: A Tribute to Vicent Caselles
Thursday 14:00–16:00; Oral Session; Room: Ampere 7+8
Session Chairs: Philippe Salembier, Universitat Politecnica de Catalunya; Guillermo Sapiro, Duke University; Jean Serra, Université Paris-Est
14:00 SS1.1—PROPERTIES OF MINIMIZERS OF THE TOTAL VARIATION AND OF THE SOLUTIONS OF THE TOTAL VARIATION FLOW
Khalid Jalalzai, Antonin Chambolle, Ecole Polytechnique, France
14:20 SS1.2—SHAPE FROM SILHOUETTE CONSENSUS AND PHOTO-CONSISTENCY
Gloria Haro, Universitat Pompeu Fabra, Spain
14:40 SS1.3—HOMOGRAPHY ESTIMATION USING ONE ELLIPSE CORRESPONDENCE AND MINIMAL ADDITIONAL INFORMATION
Luis Alvarez, Universidad de Las Palmas de Gran Canaria, Spain; Vicent Caselles, Universitat Pompeu Fabra, Spain
15:00 SS1.4—AN ANALYSIS OF SCALE-SPACE SAMPLING IN SIFT
Ives Rey-Otero, Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France; Mauricio Delbracio, Duke University, USA
15:20 SS1.5—ADAPTIVE COLOR TRANSFER WITH RELAXED OPTIMAL TRANSPORT
Julien Rabin, Université de Caen, France; Sira Ferradans, Duke University, USA; Nicolas Papadakis, Université de Bordeaux, France
15:40 SS1.6—ENERGETIC LATTICE FOR OPTIMIZING OVER HIERARCHIES OF PARTITIONS
Jean Serra, Bangalore Kiran, Université Paris-Est, France
SS10: Image Processing for Materials Characterization
Thursday 14:00–16:00; Oral Session; Room: Dickens 1+2
Session Chair: Laurent Duval, IFP Energies Nouvelles
14:00 SS10.1—IMAGE PROCESSING FOR MATERIALS CHARACTERIZATION: ISSUES, CHALLENGES AND OPPORTUNITIES
Laurent Duval, Maxime Moreaud, Camille Couprie, IFP Energies Nouvelles, France; Dominique Jeulin, MINES ParisTech, France; Hugues Talbot, Universite Paris-East, France; Jesus Angulo, MINES ParisTech, France
14:20 SS10.2—STRUCTURE TENSOR BASED SYNTHESIS OF DIRECTIONAL TEXTURES FOR VIRTUAL MATERIAL DESIGN
Adib Akl, Charles Yaacoub, Holy-Spirit University of Kaslik, Lebanon; Marc Donias, Jean-Pierre Da Costa, Christian Germain, University of Bordeaux, France
14:40 SS10.3—MORSE THEORY AND PERSISTENT HOMOLOGY FOR TOPOLOGICAL ANALYSIS OF 3D IMAGES OF COMPLEX MATERIALS
Olaf Delgado-Friedrichs, Vanessa Robins, Adrian Sheppard, Australian National University, Australia
15:00 SS10.4—IMAGE PROCESSING IN EXPERIMENTS ON, AND SIMULATIONS OF PLASTIC DEFORMATION OF POLYCRYSTALS
Jonathan Lind, Lawrence Livermore National Lab., USA; Anthony Rollett, Carnegie Mellon University, USA; Reeju Pokharel, Los Alamos National Lab., USA; Christopher Hefferan, RJ Lee Inc., USA; Shiu-Fai Li, Lawrence Livermore National Lab., USA; Ulrich Lienert, DESY, Germany; Robert Suter, Carnegie Mellon University, USA
15:20 SS10.5—PHYSICS OF MRF REGULARIZATION FOR SEGMENTATION OF MATERIALS MICROSTRUCTURE IMAGES
Jeff Simmons, Craig Przybyla, Stephen Bricker, Air Force Research Laboratory, USA; Dae Woo Kim, Mary Comer, Purdue University, USA
15:40 SS10.6—VOLUME-BASED SHAPE ANALYSIS FOR INTERNAL MICROSTRUCTURE OF STEELS
Norio Yamashita, Shin Yoshizawa, Hideo Yokota, RIKEN, Japan
SS15: 3D Data Security
Thursday 14:00–16:00; Oral Session; Room: Ampere 1+3
Session Chairs: Adrian Bors, University of York; William Puech, LIRMM
14:00 SS15.1—CRYPTANALYSIS ASPECTS IN 3-D WATERMARKING
Vincent Itier, Université Montpellier 2, France; William Puech, LIRMM, France; Adrian Bors, University of York, United Kingdom
14:20 SS15.2—SPREAD TRANSFORM AND ROUGHNESS-BASED SHAPING TO IMPROVE 3D WATERMARKING BASED ON QUADRATIC PROGRAMMING
Xavier Rolland-Nevière, Gwenaël Doërr, Technicolor R&D, France; Pierre Alliez, INRIA, France
14:40 SS15.3—A STEGANALYTIC ALGORITHM FOR 3D POLYGONAL MESHES
Ying Yang, Ruggero Pintus, Holly Rushmeier, Yale University, USA; Ioannis Ivrissimtzis, Durham University, United Kingdom
15:00 SS15.4—IMPACT OF GEOMETRY-PRESERVING ENCRYPTION ON RENDERING TIME
Marc Éluard, Yves Maetz, Gwenaël Doërr, Technicolor R&D, France
15:20 SS15.5—E3D-D2D: EMBEDDING IN 3D, DETECTION IN 2D THROUGH PROJECTIVE INVARIANTS
Yagiz Yasaroglu, Middle East Technical University & Mobilus Ltd., Turkey; Aydin Alatan, Middle East Technical University, Turkey
15:40 SS15.6—3D CONTENT FINGERPRINTING
Sachin Mehta, AMD India Pvt. Limited, India; Balakrishnan Prabhakaran, University of Texas at Dallas, USA
ARS-P15: Biometric Analysis
Thursday 14:00–16:00; Poster Session; Poster Area A
ARS-P15.1—LATENT FINGERPRINT PERSISTENCE: A NEW TEMPORAL FEATURE SPACE FOR FORENSIC TRACE EVIDENCE ANALYSIS
Ronny Merkel, Jana Dittmann, Mario Hildebrandt, Otto von Guericke University Magdeburg, Germany
ARS-P15.2—GENERAL PURPOSE BIVARIATE QUALITY-METRICS FOR FINGERPRINT-IMAGE ASSESSMENT REVISITED
Jutta Hämmerle-Uhl, Michael Pober, Andreas Uhl, University of Salzburg, Austria
ARS-P15.3—IMPROVING PORE EXTRACTION IN HIGH RESOLUTION FINGERPRINT IMAGES USING SPATIAL ANALYSIS
Raoni Teixeira, Neucimar Leite, University of Campinas, Brazil
ARS-P15.4—MATCHING HETEROGENEOUS PERIOCULAR REGIONS: SHORT AND LONG STANDOFF DISTANCES
Zhicheng Cao, Natalia Schmid, West Virginia University, USA
ARS-P15.5—AUTOMATIC CLOTHES SEGMENTATION FOR SOFT BIOMETRICS
David Freire-Obregón, Modesto Castrillón-Santana, Enrique Ramón-Balmaseda, Javier Lorenzo-Navarro, University of Las Palmas de Gran Canaria, Spain
ARS-P15.6—PERIOCULAR RECOGNITION BASED ON GABOR AND PARZEN PNN
Akanksha Joshi, Abhishek Gangwar, Renu Sharma, Ashutosh Singh, Zia Saquib, Centre for Development of Advanced Computing, India
ARS-P15.7—BIOMETRICS ON VISUAL PREFERENCES: A “PUMP AND DISTILL” REGRESSION APPROACH
Cristina Segalin, University of Verona, Italy; Alessandro Perina, Istituto Italiano di Tecnologia, Italy; Marco Cristani, University of Verona & Istituto Italiano di Tecnologia, Italy
ARS-P15.8—BEST REGIONS FOR PERIOCULAR RECOGNITION WITH NIR AND VISIBLE IMAGES
Fernando Alonso Fernandez, Josef Bigun, Halmstad University, Sweden
ARS-P15.9—MINIMIZING THE IMPACT OF SPOOF FABRICATION MATERIAL ON FINGERPRINT LIVENESS DETECTOR
Ajita Rattani, Arun Ross, Michigan State University, USA
ARS-P15.10—MATCHING FACE AGAINST IRIS IMAGES USING PERIOCULAR INFORMATION
Raghavender Reddy Jillela, Digital Signal Corporation, USA; Arun Ross, Michigan State University, USA
ARS-P15.11—FINGER-DRAWN PIN AUTHENTICATION ON TOUCH DEVICES
Toan Nguyen, Napa Sae-Bae, Nasir Memon, New York University Polytechnic School of Engineering, USA
ARS-P15.12—ON CROSS SPECTRAL PERIOCULAR RECOGNITION
Anjali Sharma, Shalini Verma, Mayank Vatsa, Richa Singh, IIIT Delhi, India
ARS-P15.13—LEAP SIGNATURE RECOGNITION USING HOOF AND HOT FEATURES
Ishan Nigam, Netaji Subhas Institute of Technology, India; Mayank Vatsa, Richa Singh, IIIT Delhi, India
ARS-P15.14—LEVERAGING APPEARANCE AND GEOMETRY FOR KINSHIP VERIFICATION
Xiaolong Wang, Chandra Kambhamettu, University of Delaware, USA
ARS-P15.15—FINGERPRINT-PKI AUTHENTICATION USING ZERNIKE MOMENTS
Han-Ul Jang, Dai-Kyung Hyun, Dae-Jin Jung, Heung-Kyu Lee, Korea Advanced Institute of Science and Technology, Korea
ARS-P16: Classification
Thursday 14:00–16:00; Poster Session; Poster Area C
ARS-P16.1—MULTI-STAGE OBJECT CLASSIFICATION FEATURING
CONFIDENCE ANALYSIS OF CLASSIFIER AND INCLINED LOCAL NAIVE BAYES
NEAREST NEIGHBOR
Takaki Maeda, Toshihiko Yamasaki, Kiyoharu Aizawa, University of Tokyo, Japan
ARS-P16.2—A META ALGORITHM FOR CLASSIFICATION BY FEATURE NOMINATION
Rituparna Sarkar, Kevin Skadron, Scott Acton, University of Virginia, USA
ARS-P16.3—MULTIMODAL SPARSE REPRESENTATION CLASSIFICATION WITH FISHER DISCRIMINATIVE SAMPLE REDUCTION
Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang, Laleh Shikh Gholamhosseinghandehari, University of Texas at Arlington, USA
ARS-P16.4—FUSING WELL-CRAFTED FEATURE DESCRIPTORS FOR EFFICIENT FINE-GRAINED CLASSIFICATION
Andrea Mattos, IBM Research, Brazil; Rogerio Feris, IBM, Watson Research Center, USA
ARS-P16.5—3D OBJECT CLASSIFICATION IN BAGGAGE COMPUTED TOMOGRAPHY IMAGERY USING RANDOMISED CLUSTERING FORESTS
Andre Mouton, Imperial College & Cranfield University, United Kingdom; Toby Breckon, Durham University, United Kingdom; Greg Flitton, Najla Megherbi, Cranfield University, United Kingdom
ARS-P16.6—ANALYSIS SPARSE CODING MODELS FOR IMAGE-BASED CLASSIFICATION
Sumit Shekhar, Vishal Patel, Rama Chellappa, University of Maryland, College Park, USA
ARS-P16.7—CLASSIFYING FOOD IMAGES REPRESENTED AS BAG OF TEXTONS
Giovanni Farinella, Marco Moltisanti, Sebastiano Battiato, University of Catania, Italy
ARS-P16.8—ATTRIBUTE PREDICTION WITH LONG-RANGE INTERACTIONS VIA PATH CODING
Zhuhao Wang, Fei Wu, Zhejiang University, P.R. China; Yahong Han, Tianjin University, P.R. China; Jiebo Luo, University of Rochester, USA; Qi Tian, University of Texas at San Antonio, USA; Yueting Zhuang, Zhejiang University, P.R. China
ARS-P16.9—STRUCTURE-CONSTRAINED LOW-RANK AND PARTIAL SPARSE REPRESENTATION FOR IMAGE CLASSIFICATION
Yang Liu, Haixu Liu, Chenyu Liu, Xueming Li, Beijing University of Posts and Telecommunications, P.R. China
ARS-P16.10—MULTI-LABEL ACTIVE LEARNING FOR IMAGE CLASSIFICATION
Jian Wu, Soochow University, P.R. China; Victor S. Sheng, University of Central Arkansas, USA; Jing Zhang, Hefei University of Technology, P.R. China; Pengpeng Zhao, Zhiming Cui, Soochow University, P.R. China
ARS-P16.11—RECOGNIZING LIVE FISH SPECIES BY HIERARCHICAL PARTIAL CLASSIFICATION BASED ON THE EXPONENTIAL BENEFIT
Meng-Che Chuang, Jenq-Neng Hwang, Fang-Fei Kuo, University of Washington, USA; Man-Kwan Shan, National Chengchi University, Taiwan; Kresimir Williams, National Oceanic and Atmospheric Administration, USA
ARS-P16.12—DOG BREED CLASSIFICATION VIA LANDMARKS
Xiaolong Wang, Vincent Ly, Scott Sorensen, Chandra Kambhamettu, University of Delaware, USA
ARS-P16.13—JEFFREYS CENTROIDS: A CLOSED-FORM
EXPRESSION FOR POSITIVE HISTOGRAMS AND A GUARANTEED TIGHT APPROXIMATION
FOR FREQUENCY HISTOGRAMS
Frank Nielsen, Sony Labs., Japan
ARS-P16.14—LOCALITY PRESERVING DISCRIMINATIVE DICTIONARY LEARNING
Siavash Haghiri, Hamid Rabiee, Ali Soltani-Farani, Seyyed Abbas Hosseini, Maryam Shadloo, Sharif University of Technology, Iran
ARS-P16.15—NEW CASCADE MODEL FOR HIERARCHICAL JOINT
CLASSIFICATION OF MULTITEMPORAL, MULTIRESOLUTION AND MULTISENSOR REMOTE
SENSING DATA
Ihsen Hedhli, Gabriele Moser, University of Genoa, Italy; Josiane Zerubia, INRIA, Sophia Antipolis, France; Sebastiano Serpico, University of Genoa, Italy
ARS-P16.16—AGGREGATING CONTOUR FRAGMENTS FOR SHAPE CLASSIFICATION
Song Bai, Xinggang Wang, Xiang Bai, Huazhong University of Science and Technology, P.R. China
ARS-P16.17—A ROTATION-INVARIANT BAG OF VISUAL WORDS MODEL FOR SYMBOLS BASED ANCIENT COIN CLASSIFICATION
Hafeez Anwar, Sebastian Zambanini, Martin Kampel, Vienna University of Technology, Austria
ARS-P16.18—TASK-DRIVEN DICTIONARY LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION WITH STRUCTURED SPARSITY PRIORS
Xiaoxia Sun, Johns Hopkins University, USA; Nasser Nasrabadi, US Army Research Laboratory, USA; Trac Tran, Johns Hopkins University, USA
ARS-P16.19—SCALING UP DISCRETE DISTRIBUTION CLUSTERING USING ADMM
Jianbo Ye, Jia Li, The Pennsylvania State University, USA
ARS-P16.20—DEGREE OF LOOP ASSESSMENT IN MICROVIDEO
Shumpei Sano, Toshihiko Yamasaki, Kiyoharu Aizawa, University of Tokyo, Japan
ARS-P16.21—SEQUENTIAL LABELING WITH STRUCTURAL SVM UNDER THE F1 LOSS
Guopeng Zhang, Massimo Piccardi, University of Technology, Sydney, Australia
ARS-P16.22—FACE, GENDER AND RACE CLASSIFICATION USING MULTI-REGULARIZED FEATURES LEARNING
Mohamed Anouar Borgi, Maher El ‘Arbi, University of Sfax, Tunisia; Demetrio Labate, University of Houston, USA; Chokri Ben Amar, University of Sfax, Tunisia
ARS-P16.23—ROBUST NONNEGATIVE MATRIX FACTORIZATION VIA $L_1$ NORM REGULARIZATION BY MULTIPLICATIVE UPDATING RULES
Bin Shen, Purdue University, USA; Baodi Liu, China University of Petroleum, P.R. China; Qifan Wang, Purdue University, USA; Rongrong Ji, Xiamen University, P.R. China
COI-P1: Infrared, Multispectral, and Hyperspectral Imaging
Thursday 14:00–16:00; Poster Session; Poster Area B
COI-P1.1—MRF AND DEMPSTER-SHAFER THEORY FOR SIMULTANEOUS SHADOW/VEGETATION DETECTION ON HIGH RESOLUTION AERIAL COLOR IMAGES
Tran Thanh Ngo, Christophe Collet, Vincent Mazet, University of Strasbourg, France
COI-P1.2—A COMPRESSED SENSING-BASED PAN-SHARPENING USING JOINT DATA FIDELITY AND BLIND BLURRING KERNEL ESTIMATION
Yiyong Jiang, Liqin Chen, Wei Wang, Xinghao Ding, Yue Huang, Xiamen University, P.R. China
COI-P1.3—HYPERSPECTRAL IMAGE CLASSIFICATION WITH MULTIPLE KERNEL BOOSTING ALGORITHM
Yuting Wang, Yanfeng Gu, Guoming Gao, Qingwang Wang, Harbin Institute of Technology, P.R. China
COI-P1.4—LINEAR DISCRIMINANT MULTIPLE KERNEL LEARNING FOR MULTISPECTRAL IMAGE CLASSIFICATION
Yanfeng Gu, Qingwang Wang, Pigang Liu, Harbin Institute of Technology, P.R. China; Deshan Zuo, Beijing Institute of Remote Sensing Information, P.R. China
COI-P1.5—A UNIFIED FRAMEWORK FOR LAND-COVER DATABASE UPDATE AND ENRICHMENT USING SATELLITE IMAGERY
Adrien Gressin, Université Paris-Est, France; Nicole Vincent, Université Paris 5, France; Clement Mallet, Nicolas Paparoditis, Université Paris-Est, France
COI-P1.6—CONTEXT DEPENDENT HYPERSPECTRAL SUBPIXEL TARGET DETECTION
Hamdi Jenzri, Hichem Frigui, University of Louisville, USA; Paul Gader, University of Florida, USA
COI-P1.7—USING ENSEMBLE MARGIN TO EXPLORE ISSUES OF
TRAINING DATA IMBALANCE AND MISLABELING ON LARGE AREA LAND COVER
CLASSIFICATION
Andrew Mellor, Royal Melbourne Institute of Technology, Australia; Samia Boukir, University of Bordeaux, France; Andrew Haywood, Simon Jones, Royal Melbourne Institute of Technology, Australia
COI-P1.8—URBAN ROAD EXTRACTION VIA GRAPH CUTS BASED PROBABILITY PROPAGATION
Guangliang Cheng, Wang Ying, Yongchao Gong, Feiyun Zhu, Chunhong Pan, Chinese Academy of Sciences, P.R. China
COI-P1.9—BINARY PARTITION TREES-BASED ROBUST ADAPTIVE HYPERSPECTRAL RX ANOMALY DETECTION
Miguel Veganzones, Grenoble Institute of Technology, France; Joana Frontera, Frederic Pascal, Supélec, France; Jean-Philippe Ovarlez, ONERA, France; Jocelyn Chanussot, Grenoble Institute of Technology, France
COI-P1.10—AN END-MEMBER BASED ORDERING RELATION FOR THE MORPHOLOGICAL DESCRIPTION OF HYPERSPECTRAL IMAGES
Erchan Aptoula, Okan University, Turkey; Nicolas Courty, Sébastien Lefèvre, Université de Bretagne-Sud, France
COI-P1.11—SYSTEMATIC STUDY OF COLOR SPACES AND COMPONENTS FOR THE SEGMENTATION OF SKY/CLOUD IMAGES
Soumyabrata Dev, Yee Hui Lee, Nanyang Technological University, Singapore; Stefan Winkler, Advanced Digital Sciences Center (ADSC), Singapore
COI-P1.12—CLUSTER CONSTRAINT BASED SPARSE NMF FOR HYPERSPECTRAL IMAGERY UNMIXING
Xinwei Jiang, Lei Ma, Yiping Yang, Chinese Academy of Sciences, P.R. China
COI-P1.13—IMAGE FUSION USING MULTIVARIATE AND MULTIDIMENSIONAL EMD
Naveed ur Rehman, COMSATS Institute of Information Technology, Pakistan; Muhammad Murtaza Khan, National University of Sciences and Technology, Pakistan; Ishaq Sohaib, Muhammad Jehanzaib, COMSATS Institute of Information Technology, Pakistan; Shoaib Ehsan, Klaus McDonald-Maier, University of Essex, United Kingdom
COI-P1.14—DETECTING NEW CLASSES VIA INFINITE WARPED MIXTURE MODELS FOR HYPERSPECTRAL IMAGE ANALYSIS
Hao Wu, Saurabh Prasad, Tanu Priya, University of Houston, USA
COI-P1.15—ENHANCING HYPERSPECTRAL IMAGE QUALITY USING NONLINEAR PCA
Giorgio Licciardi, Jocelyn Chanussot, Gabriel Vasile, Grenoble Institute of Technology, Italy; Alessandro Piscini, Istituto Nazionale di Geofisica e Vulcanologia, Italy
COI-P1.16—SPECTRAL COMPRESSION OF HYPERSPECTRAL IMAGES BY MEANS OF NONLINEAR PRINCIPAL COMPONENTS ANALYSIS
Giorgio Licciardi, Jocelyn Chanussot, Grenoble Institute of Technology, Italy; Alessandro Piscini, Istituto Nazionale di Geofisica e Vulcanologia, Italy
COI-P1.17—A REAL-TIME, SEMI-AUTOMATIC METHOD FOR DISCRIMINANT TARGET INITIALIZATION IN THERMAL IMAGERY
Emre Tunal?, Sinan Oz, Aselsan, Turkey
COI-P1.18—A PHYSICS-BASED UNMIXING METHOD FOR THERMAL HYPERSPECTRAL IMAGES
Manuel Cubero-Castan, Jocelyn Chanussot, Grenoble Institute of Technology, France; Véronique Achard, Xavier Briottet, ONERA, France; Michal Shimoni, Royal Military Academy, Belgium
COI-P1.19—HIGH-RESOLUTION COMPUTATIONAL SPECTRAL IMAGING WITH PHOTON SIEVES
Figen Oktem, Farzad Kamalabadi, University of Illinois at Urbana-Champaign, USA; Joseph Davila, NASA Goddard Space Flight Center, USA
COI-P1.20—SPATIAL INFORMATION BASED FCM FOR INFRARED SHIP TARGET SEGMENTATION
Xiangzhi Bai, Beijing University of Aeronautics and Astronautics, P.R. China; Zhiguo Chen, Yu Zhang, Zhaoying Liu, Yi Lu, Beihang University, P.R. China
COI-P1.21—COMPRESSIVE DATA FUSION FOR MULTI-SENSOR IMAGE ANALYSIS
Saurabh Prasad, Hao Wu, University of Houston, USA; James Fowler, Mississippi State University, USA
COI-P1.22—CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON DEEP BELIEF NETWORKS
Tong Li, Junping Zhang, Ye Zhang, Harbin Institute of Technology, P.R. China
COI-P1.23—INFRARED HYPERSPECTRAL IMAGING FOR ENHANCED TISSUE VISUALIZATION AND DISCRIMINATION DURING SURGICAL OPERATION
Dorra Nouri, Yves Lucas, Sylvie Treuillet, University of Orleans, France
COI-P1.24—A HARDWARE-FRIENDLY ARCHITECTURE FOR
ONBOARD RATE-CONTROLLED PREDICTIVE CODING OF HYPERSPECTRAL AND
MULTISPECTRAL IMAGES
Diego Valsesia, Enrico Magli, Politecnico di Torino, Italy
COI-P1.25—BLIND SOURCE SEPARATION BASED ANOMALY DETECTION IN MULTI-SPECTRAL IMAGES
Saima Ben Hadj, Jerome Bobin, CEA, France; Arnaud Woiselle, Sagem Defense Securite, France
COI-P1.26—SEQUENTIAL DECONVOLUTION – UNMIXING OF BLURRED HYPERSPECTRAL DATA
Simon Henrot, Charles Soussen, David Brie, Université de Lorraine, France
COI-P1.27—LOCAL HISTOGRAM BASED CLASSIFICATION OF SAR IMAGES USING SPATIALLY DEPENDENT MIXTURES
Koray Kayabol, Gebze Institute of Technology, Turkey
COI-P1.28—SCENE RECOGNITION BASED ON PHASE GRADIENT INSAR IMAGES
Nazli Cagatay, Mihai Datcu, German Aerospace Center, Germany
COI-P1.29—TAILORING NON-HOMOGENEOUS MARKOV CHAIN WAVELET MODELS FOR HYPERSPECTRAL SIGNATURE CLASSIFICATION
Siwei Feng, Yuki Itoh, Mario Parente, Marco Duarte, University of Massachusetts Amherst, USA
COI-P1.30—MULTI-SPECTRAL DOCUMENT IMAGE BINARIZATION USING IMAGE FUSION AND BACKGROUND SUBTRACTION TECHNIQUES
Nikolaos Mitianoudis, Nikos Papamarkos, Democritus University of Thrace, Greece
ELI-P6: Stereo and Multiview Image Processing
Thursday 14:00–16:00; Poster Session; Poster Area E
ELI-P6.1—MULTIVIEW IMAGE AND VIDEO INTERPOLATION USING WEIGHTED VECTOR MEDIAN FILTERS
Guilherme Fickel, Claudio Jung, Universidade Federal do Rio Grande do Sul, Brazil; Bowon Lee, Hewlett-Packard Laboratories, USA
ELI-P6.2—A RAO-BLACKWELLIZED MCMC ALGORITHM FOR RECOVERING PIECEWISE PLANAR 3D MODEL FROM MULTIPLE VIEW RGBD IMAGES
Natesh Srinivasan, Frank Dellaert, Georgia Institute of Technology, USA
ELI-P6.3—SPATIO-TEMPORAL MODELING OF VISUAL ATTENTION FOR STEREOSCOPIC 3D VIDEO
Iana Iatsun, Chaker Larabi, Christine Fernandez, Université de Poitiers, France
ELI-P6.4—SPRITE GENERATION FOR HOLE FILLING IN DEPTH IMAGE-BASED RENDERING
Guo-Shiang Lin, Da-Yeh University, Taiwan; Chia-Yung Hsieh, Wen-Nung Lie, National Chung Cheng University, Taiwan
ELI-P6.5—VIEWPOINT INTERPOLATION: DIRECT AND VARIATIONAL METHODS
Sergi Pujades, Frederic Devernay, INRIA, France
ELI-P6.6—A HOMOGRAPHY-BASED INPAINTING ALGORITHM FOR EFFECTIVE DEPTH-IMAGE-BASED RENDERING
Hanqiang Shan, Wei-Da Chien, Hung-Ming Wang, Jar-Ferr Yang, National Cheng Kung University, Taiwan
ELI-P6.7—STEREO RECONSTRUCTION OF SEMIREGULAR MESHES, AND MULTIRESOLUTION ANALYSIS FOR AUTOMATIC DETECTION OF DENTS ON SURFACES
Jean-Luc Peyrot, Frédéric Payan, Natacha Ruchaud, Marc Antonini, Université de Nice Sophia Antipolis, France
ELI-P6.8—UNDERWATER STEREO IMAGE ENHANCEMENT USING A NEW PHYSICAL MODEL
Shijie Zhang, Johns Hopkins University, USA; Jing Zhang, University of Science and Technology of China, P.R. China; Shuai Fang, Hefei University of Technology, P.R. China; Yang Cao, University of Science and Technology of China, P.R. China
ELI-P6.9—STEREO IMAGE DEFOGGING
Yeejin Lee, University of California, San Diego, USA; Kristofor Gibson, Space and Naval Warfare Systems Center Pacific, USA; Zucheul Lee, Truong Nguyen, University of California, San Diego, USA
ELI-P6.10—STEREO VIDEO DERAINING AND DESNOWING BASED ON SPATIOTEMPORAL FRAME WARPING
Jin-Hwan Kim, Korea University, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea
ELI-P6.11—MULTI-VIEW VIDEO SUPER-RESOLUTION FOR HYBRID CAMERAS USING MODIFIED NLM AND ADAPTIVE THRESHOLDING
Robert Lengyel, McMaster University, Canada; S. M. Reza Soroushmehr, University of Michigan, USA; Shahram Shirani, McMaster University, Canada
ELI-P6.12—ANALYTICAL MODEL FOR CAMERA DISTANCE RELATED 3D VIRTUAL VIEW DISTORTION ESTIMATION
Yijian Xiang, University of Science and Technology of China, P.R. China; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore; Juyong Zhang, Lu Fang, University of Science and Technology of China, P.R. China
ELI-P6.13—ON STEREO-RECTIFICATION OF PUSHBROOM IMAGES
Carlo de Franchis, Enric Meinhardt-Llopis, Ecole Normale Supérieure de Cachan, France; Julien Michel, CNES, France; Jean-Michel Morel, Gabriele Facciolo, Ecole Normale Supérieure de Cachan, France
ELI-P6.14—EDGE ENHANCEMENT OF DEPTH BASED RENDERED IMAGES
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto, Università degli Studi di Torino, Italy
ELI-P6.15—TRANSLATION INVARIANCE-BASED SUPER RESOLUTION METHOD FOR MIXED RESOLUTION MULTIVIEW VIDEO
Zhizhong Fu, University of California, San Diego, USA; Zening Li, Lan Ding, University of Electronic Science and Technology of China, P.R. China; Nguyen Truong, University of California, San Diego, USA
ELI-P6.16—LINEAR VIEW/IMAGE RESTORATION FOR DENSE LIGHT FIELDS
Kazuya Kodama, National Institute of Informatics, Japan; Akira Kubota, Chuo University, Japan
ELI-P6.17—MATERIALITY MAPS: A NOVEL SCENE-BASED FRAMEWORK FOR DIRECT MULTI-VIEW STEREOVISION RECONSTRUCTION
Muhannad Ismael, Stéphanie Prévost, Celine Loscos, Yannick Remion, University of Reims, France
ELI-P6.18—STEREOSCOPIC VIDEO SHOT CLUSTERING INTO SEMANTIC CONCEPTS BASED ON VISUAL AND DISPARITY INFORMATION
Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
ELI-P6.19—BALANCED OPTICAL FLOW REFINEMENT BY BIDIRECTIONAL CONSTRAINT
Jongwon Choi, Hyeongwoo Kim, Tae-Hyun Oh, In So Kweon, Korea Advanced Institute of Science and Technology, Korea
IFS-P1: Image Forensics
Thursday 14:00–16:00; Poster Session; Poster Area D
IFS-P1.1—HUE MODIFICATION ESTIMATION USING SENSOR PATTERN NOISE
Jong Uk Hou, Han-Ul Jang, Heung Kyu Lee, Korea Advanced Institute of Science and Technology, Korea
IFS-P1.2—CONTENT BASED IMAGE AUTHENTICATION USING HOG FEATURE DESCRIPTOR
Jinse Shin, University of Siegen, Germany; Dongsung Kim, Soongsil University, Korea; Christoph Ruland, University of Siegen, Germany
IFS-P1.3—IMAGE FORGERY DETECTION THROUGH RESIDUAL-BASED LOCAL DESCRIPTORS AND BLOCK-MATCHING
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva, Università Federico II di Napoli, Italy
IFS-P1.4—COPY-MOVE FORGERY DETECTION BASED ON PATCHMATCH
Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva, Università Federico II di Napoli, Italy
IFS-P1.5—IMAGE FORGERY LOCALIZATION THROUGH THE FUSION OF CAMERA-BASED, FEATURE-BASED AND PIXEL-BASED TECHNIQUES
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva, Università Federico II di Napoli, Italy
IFS-P1.6—MULTIPLE PARENTING IDENTIFICATION IN IMAGE PHYLOGENY
Alberto Oliveira, University of Campinas, Brazil; Pasquale Ferrara, Alessia De Rosa, Alessandro Piva, University of Florence, Italy; Mauro Barni, University of Siena, Italy; Siome Goldenstein, Zanoni Dias, Anderson Rocha, University of Campinas, Brazil
IFS-P1.7—ROBUST IMAGE RECAPTURE DETECTION USING A K-SVD LEARNING APPROACH TO TRAIN DICTIONARIES OF EDGE PROFILES
Thirapiroon Thongkamwitoon, Hani Muammar, Pier Luigi Dragotti, Imperial College London, United Kingdom
IFS-P1.8—A BENFORD-FOURIER JPEG COMPRESSION DETECTOR
Cecilia Pasquini, University of Trento, Italy; Fernando Pérez-González, University of Vigo, Spain; Giulia Boato, University of Trento, Italy
IFS-P1.9—REVEALING SYNTHETIC FACIAL ANIMATIONS OF REALISTIC CHARACTERS
Duc-Tien Dang-Nguyen, Giulia Boato, Francesco De Natale, University of Trento, Italy
IFS-P1.10—TOWARDS AUTOMATIC DETECTION OF CHILD PORNOGRAPHY
Napa Sae-Bae, Xiaoxi Sun, New York University Polytechnic School of Engineering, USA; Husrev Sencar, New York University Abu Dhabi, UAE; Nasir Memon, New York University Polytechnic School of Engineering, USA
IFS-P1.11—DETECTABILITY-QUALITY TRADE-OFF IN JPEG COUNTER-FORENSICS
Giuseppe Valenzise, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France; Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy
IFS-P1.12—COMPRESSION NOISE BASED VIDEO FORGERY DETECTION
Hareesh Ravi, Subramanyam Av, Gaurav Gupta, Avinash Kumar Boina, Indraprastha Institute of Information Technology, India
IFS-P1.13—WEIGHTED AVERAGING-BASED SENSOR PATTERN NOISE ESTIMATION FOR SOURCE CAMERA IDENTIFICATION
Ashref Lawgaly, Fouad Khelifi, Ahmed Bouridane, Northumbria University at NewCastle, United Kingdom
IFS-P1.14—TWOFOLD VIDEO HASHING WITH AUTOMATIC SYNCHRONIZATION
Mu Li, Vishal Monga, Pennsylvania State University, USA
IFS-P1.15—WHO IS MY PARENT? RECONSTRUCTING VIDEO SEQUENCES FROM PARTIALLY MATCHING SHOTS
Silvia Lameri, Paolo Bestagini, Ambra Melloni, Politecnico di Milano, Italy; Simone Milani, Politecnico di Milano & University of Padova, Italy; Anderson Rocha, University of Campinas, Brazil; Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy
IFS-P1.16—ATTACKING THE TRIANGLE TEST IN SENSOR-BASED CAMERA IDENTIFICATION
Francesco Marra, Fabio Roli, University of Cagliari, Italy; Davide Cozzolino, Carlo Sansone, Luisa Verdoliva, Università Federico II di Napoli, Italy
IFS-P1.17—EXPLOITING ROLLING SHUTTER FOR ENF SIGNAL EXTRACTION FROM VIDEO
Hui Su, Adi Hajj-Ahmad, Ravi Garg, Min Wu, University of Maryland, College Park, USA
IFS-P1.18—IDENTIFICATION OF DIGITAL RADIOGRAPHY IMAGE SOURCE BASED ON DIGITAL RADIOGRAPHY PATTERN NOISE RECOGNITION
Yuping Duan, Southeast University, P.R. China; Gouenou Coatrieux, Telecom Bretagne, France; Hua Zhong Shu, Southeast University, P.R. China
IFS-P1.19—IMAGE MODEL AND PRINTED DOCUMENT AUTHENTICATION: A THEORETICAL ANALYSIS
Bao An Mai Hoang, Wadih Sawaya, Telecom Lille, France; Patrick Bas, Ecole Centrale de Lille, France
IFS-P1.20—COUNTERING ANTI-FORENSICS TO WAVELET-BASED COMPRESSION
Meijuan Wang, Zhenyong Chen, Wei Fan, Zhang Xiong, Beihang University, P.R. China
ARS-L11: Facial-Expression Analysis
Thursday 16:30–18:10; Oral Session; Room: Ampere 1+3
16:30 ARS-L11.1—DETECTING EMOTIONAL STRESS FROM FACIAL EXPRESSIONS FOR DRIVING SAFETY
Hua Gao, Anil Yuce, Jean-Philippe Thiran, École Polytechnique Fédérale de Lausanne, Switzerland
16:50 ARS-L11.2—REGION-BASED FEATURE FUSION FOR FACIAL-EXPRESSION RECOGNITION
Cigdem Turan, Kin-Man Lam, Hong Kong Polytechnic University, Hong Kong
17:10 ARS-L11.3—ADAPTIVE FEATURE EXTRACTION FOR BLURRED FACE IMAGES IN FACIAL EXPRESSION RECOGNITION
Hyung-Il Kim, Seung-Ho Lee, Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea
17:30 ARS-L11.4—ONLINE FACIAL EXPRESSION RECOGNITION BASED ON COMBINING TEXTURE AND GEOMETRIC INFORMATION
Ching-Hua Weng, Shang-Hong Lai, National Tsing Hua University, Taiwan
17:50 ARS-L11.5—FACIAL EXPRESSION RECOGNITION USING STATISTICAL SUBSPACE
Le Tan Dang Khoa, Hung Truong, Le Thai, Ho Chi Minh City University of Science, Vietnam
ARS-L12: Active Contour Methods
Thursday 16:30–18:10; Oral Session; Room: Dickens 3+4
16:30 ARS-L12.1—GLOBAL-TO-LOCAL SHAPE PRIORS FOR VARIATIONAL IMAGE SEGMENTATION
Carsten Last, Simon Winkelbach, Friedrich M. Wahl, Technical University of Braunschweig, Germany
16:50 ARS-L12.2—SEGMENTATION OF SPARSE NOISY POINT CLOUDS USING ACTIVE CONTOUR MODELS
Mahmoud AwadAllah, Lynn Abbott, Sherin Ghannam, Virginia Tech, USA
17:10 ARS-L12.3—STATISTICAL REGION-BASED ACTIVE CONTOUR USING OPTIMIZATION OF ALPHA-DIVERGENCE FAMILY FOR IMAGE SEGMENTATION
Leila Meziou, Aymeric Histace, Cergy-Pontoise University, France; Frederic Precioso, University Nice Sophia Antipolis, France
17:30 ARS-L12.4—NONPARAMETRIC MDL SEGMENTATION OF INHOMOGENEOUS IMAGES BASED ON QUADRATIC LOCAL BINARY FITTING
Siwei Liu, Frederic Galland, Nicolas Bertaux, Aix-Marseille Université, France
17:50 ARS-L12.5—A ROBUST ACTIVE SHAPE MODEL USING AN EXPECTATION-MAXIMIZATION FRAMEWORK
Carlos Santiago, Instituto Superior Tecnico, Portugal; Jacinto Nascimento, Instituto de Sistemas e Robotica, Portugal; Jorge Marques, Instituto Superior Técnico & Instituto de Sistemas e Robotica, Portugal
COM-L3: Image Communications
Thursday 16:30–18:10; Oral Session; Room: Ampere 5+6
16:30 COM-L3.1—OVERLAPPING MOTION HINTS WITH POLYNOMIAL MOTION FOR VIDEO COMMUNICATION
Aous Naman, David Taubman, Rui Xu, University of New South Wales, Australia
16:50 COM-L3.2—FAST CHANNEL SWITCHING FOR SINGLE-LOOP SCALABLE HEVC
Glenn Van Wallendael, Nicolas Staelens, Sebastiaan Van Leuven, Jan De Cock, Peter Lambert, Piet Demeester, Rik Van de Walle, Ghent University – iMinds, Belgium
17:10 COM-L3.3—DELAY-RATE-DISTORTION OPTIMIZED RATE CONTROL FOR WIRELESS VIDEO COMMUNICATION
Chenglin Li, Hongkai Xiong, Shanghai Jiao Tong University, P.R. China; Dapeng Oliver Wu, University of Florida, USA
17:30 COM-L3.4—HYBRIDCAST: A WIRELESS IMAGE/VIDEO
SOFTCAST SCHEME USING LAYERED REPRESENTATION AND HYBRID DIGITAL-ANALOG
MODULATION
Zhihai Song, Ruiqin Xiong, Siwei Ma, Wen Gao, Peking University, P.R. China
17:50 COM-L3.5—BANDWIDTH EFFICIENT MOBILE CLOUD GAMING WITH LAYERED CODING AND SCALABLE PHONG LIGHTING
Seong-Ping Chuah, Ngai-Man Cheung, Singapore University of Technology & Design, Singapore
SMR-L4: Statistical Models
Thursday 16:30–18:10; Oral Session; Room: Leonard de Vinci
16:30 SMR-L4.1—INVERSE PROBLEM FORMULATION FOR REGULARITY ESTIMATION IN IMAGES
Nelly Pustelnik, Patrice Abry, Ecole Normale Supérieure, Lyon, France; Herwig Wendt, Nicolas Dobigeon, University of Toulouse, France
16:50 SMR-L4.2—SIMULATION OF IMAGE TIME SERIES FROM DYNAMICAL FRACTIONAL BROWNIAN FIELDS
Abdourrahmane Atto, University of Savoie, France; Lionel Fillatre, Marc Antonini, Université de Nice Sophia Antipolis, France; Igor Nikiforov, Université de Technologie de Troyes, France
17:10 SMR-L4.3—TEXTURE MODELING BY GAUSSIAN FIELDS WITH PRESCRIBED LOCAL ORIENTATION
Kevin Polisano, University of Grenoble-Alpes, France; Marianne Clausel, University Joseph Fourier, France; Valérie Perrier, Laurent Condat, University of Grenoble-Alpes, France
17:30 SMR-L4.4—STATISTICS OF WAVELET COEFFICIENTS FOR SPARSE SELF-SIMILAR IMAGES
Julien Fageot, Emrah Bostan, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland
17:50 SMR-L4.5—A UNIFIED MARKOV RANDOM FIELD/MARKED POINT PROCESS IMAGE MODEL AND ITS APPLICATION TO COMPUTATIONAL MATERIALS
Huixi Zhao, Mary Comer, Purdue University, USA; Marc De Graef, Carnegie Mellon University, USA
SS20: Privacy-Preserving Multimedia Content Analysis: Privacy by Design and Social-Impact Analysis
Thursday 16:30–17:50; Oral Session; Room: Dickens 1+2
Session Chair: Atta Badii, University of Reading
16:30 SS20.1—TEMPORAL FACE EMBEDDING AND PROPAGATION IN PHOTO COLLECTIONS
Markus Brenner, Queen Mary, University of London, United Kingdom; Tamar Avraham, Michael Lindenbaum, Technion, Israel; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom
16:50 SS20.2—CROWD ANALYSIS IN NON-STATIC CAMERAS USING FEATURE TRACKING AND MULTI-PERSON DENSITY
Tobias Senst, Volker Eiselein, Ivo Keller, Thomas Sikora, Technische Universität Berlin, Germany
17:10 SS20.3—SCRAMBLING FACES FOR PRIVACY PROTECTION USING BACKGROUND SELF-SIMILARITIES
Andrea Melle, Jean-Luc Dugelay, EURECOM, France
17:30 SS20.4—TOWARDS OPTIMAL DISTORTION-BASED VISUAL PRIVACY FILTERS
Pavel Korshunov, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SS9: Advances in Astronomical Signal and Image Processing
Thursday 16:30–18:10; Oral Session; Room: Ampere 7+8
Session Chair: Jerome Bobin, CEA
16:30 SS9.1—STATISTICAL PROPERTIES OF SPHERICAL WAVELETS SYSTEMS
Domenico Marinucci, University of Rome Tor Vergata, Italy; Sreekar Vadlamani, Tata Institute for Fundamental Research, India
16:50 SS9.2—STATISTICAL ANALYSES OF GALAXY-SURVEYS TO PROBE THE STANDARD COSMOLOGICAL MODEL
Patricio Vielva, Universidad de Cantabria, Spain
17:10 SS9.3—SPARSE BLIND SOURCE SEPARATION FOR PARTIALLY CORRELATED SOURCES
Jerome Bobin, Jean-Luc Starck, Jeremy Rapin, Anthony Larue, CEA, France
17:30 SS9.4—SPARSITY IN TENSOR OPTIMIZATION FOR OPTICAL-INTERFEROMETRIC IMAGING
Anna Auria, Rafael Carrillo, Jean-Philippe Thiran, École Polytechnique Fédérale de Lausanne, Switzerland; Yves Wiaux, Heriot Watt University, United Kingdom
17:50 SS9.5—DETECTION OF ASTROPHYSICAL SOURCES IN HYPERSPECTRAL DATA. APPLICATIONS TO THE MUSE INSTRUMENT
David Mary, André Ferrari, Silvia Paris, Université de Nice Sophia-Antipolis, France
ARS-P17: Feature Selection
Thursday 16:10–18:10; Poster Session; Poster Area C
ARS-P17.1—DTRF: A PHYSIOLOGICALLY MOTIVATED METHOD FOR IMAGE DESCRIPTION
Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng, Huazhong University of Science and Technology, P.R. China
ARS-P17.2—HDO: A NOVEL LOCAL IMAGE DESCRIPTOR
Wonjun Kim, Samsung Advanced Institute of Technology, Korea; ByungIn Yoo, Samsung Advanced Institute of Technology & Korea Advanced Institute of Science and Technology, Korea; Jae-Joon Han, Samsung Advanced Institute of Technology, Korea
ARS-P17.3—KEYPOINT DETECTION BY CASCADED FAST
Takahiro Hasegawa, Yuji Yamauchi, Chubu University, Japan; Mitsuru Ambai, Yuichi Yoshida, DENSO IT Laboratory, Japan; Hironobu Fujiyoshi, Chubu University, Japan
ARS-P17.4—AFFINE REGION DETECTORS ON THE FISHEYE DOMAIN
Antonino Furnari, Giovanni Farinella, Giovanni Puglisi, University of Catania, Italy; Arcangelo Bruna, ST Microelectronics, Italy; Sebastiano Battiato, University of Catania, Italy
ARS-P17.5—BAMBOO: A FAST DESCRIPTOR BASED ON ASYMMETRIC PAIRWISE BOOSTING
Luca Baroffio, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Politecnico di Milano, Italy
ARS-P17.6—ROBUST TEXTURE FEATURES FOR BLURRED IMAGES USING UNDECIMATED DUAL-TREE COMPLEX WAVELETS
Nantheera Anantrasirichai, Jeremy Burn, David Bull, University of Bristol, United Kingdom
ARS-P17.7—PHOTOGRAPHIC PAPER TEXTURE CLASSIFICATION USING MODEL DEVIATION OF LOCAL VISUAL DESCRIPTORS
David Picard, Ngoc-Son Vu, Inbar Fijalkow, University of Cergy-Pontoise, France
ARS-P17.8—TEMPORAL AND LONGITUDINAL VARIANCES IN WOOD LOG CROSS-SECTION IMAGE ANALYSIS
Rudolf Schraml, University of Salzburg, Austria; Johann Charwat-Pessler, University of Applied Sciences, Austria; Andreas Uhl, University of Salzburg, Austria
ARS-P17.9—ROTATION-INVARIANT LOCAL RADIUS INDEX: A COMPACT TEXTURE SIMILARITY FEATURE FOR CLASSIFICATION
Yuanhao Zhai, David Neuhoff, University of Michigan, USA
ARS-P17.10—MAX-SIFT: FLIPPING INVARIANT DESCRIPTORS FOR WEB LOGO SEARCH
Lingxi Xie, Tsinghua University, P.R. China; Qi Tian, University of Texas at San Antonio, USA; Bo Zhang, Tsinghua University, P.R. China
ARS-P17.11—TWO-DIMENSIONAL LOCAL TERNARY PATTERNS USING SYNCHRONIZED IMAGES FOR OUTDOOR PLACE CATEGORIZATION
Hojung Jung, Ryo Kurazume, Yumi Iwashita, Kyushu University, Japan; Oscar Martinez Mozos, University of Lincoln, United Kingdom
ARS-P17.12—LOW-RANK SIFT: AN AFFINE INVARIANT FEATURE FOR PLACE RECOGNITION
Harry Yang, Shengnan Cai, Hong Kong University of Science and Technology, Hong Kong; Jingdong Wang, Microsoft Research Asia, P.R. China; Long Quan, Hong Kong University of Science and Technology, P.R. China
ARS-P17.13—3D INTEREST POINT DETECTION USING LOCAL SURFACE CHARACTERISTICS WITH APPLICATION IN ACTION RECOGNITION
Michael Holte, Aalborg University, Denmark
ARS-P17.14—SCALE-INVARIANT CORNER KEYPOINTS
Bo Li, Haibo Li, Ulrik Söderström, Umeå University, Sweden
ARS-P17.15—LOCAL SELF-SIMILARITY FREQUENCY DESCRIPTOR FOR MULTISPECTRAL FEATURE MATCHING
Seungryong Kim, Seungchul Ryu, Bumsub Ham, Junhyung Kim, Kwang Hoon Sohn, Yonsei University, Korea
ARS-P17.16—BRISKOLA: BRISK OPTIMIZED FOR LOW-POWER ARM ARCHITECTURES
Luca Baroffio, Antonio Canclini, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Politecnico di Milano, Italy
ARS-P17.17—EVALUATING THE PERFORMANCE AND CORRELATION OF COLOUR INVARIANT LOCAL IMAGE FEATURE DETECTORS
Tony Marrero Barroso, Ovidiu Ghita, Paul Whelan, Dublin City University, Ireland
ARS-P17.18—IMPROVING THE MATCHING PRECISION OF SIFT
Zhongwei Tang, Pascal Monasse, Ecole des Ponts-ParisTech, France; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France
ARS-P17.19—LEARNING COMPRESSED IMAGE CLASSIFICATION FEATURES
Qiang Qiu, Guillermo Sapiro, Duke University, USA
ARS-P17.20—EFFICIENT FUSION OF MULTIDIMENSIONAL DESCRIPTORS FOR IMAGE RETRIEVAL
Neelanjan Bhowmik, University Paris-Est & Nicéphore Cité, France; Ricardo González V., University of Campinas, Brazil; Valerie Gouet-Brunet, University Paris-Est, France; Helio Pedrini, University of Campinas, Brazil; Gabriel Bloch, Nicéphore Cité, France
ARS-P17.21—HAMMING EMBEDDING WITH FRAGILE BITS FOR IMAGE SEARCH
Dongye Zhuang, Dongming Zhang, Jintao Li, Ke Lv, Chinese Academy of Sciences, P.R. China; Qi Tian, University of Texas at San Antonio, USA
ARS-P17.22—DENSE INTEREST FEATURES FOR VIDEO PROCESSING
Roeland De Geest, Tinne Tuytelaars, Katholieke Universiteit Leuven, Belgium
ARS-P18: Recognition
Thursday 16:10–18:10; Poster Session; Poster Area E
ARS-P18.1—A NEW ROBUST CONTEXT-BASED DENSE CRF MODEL FOR IMAGE LABELING
Maryam Nematollahi, Xiao-Ping Zhang, Ryerson University, Canada
ARS-P18.2—A DATASET FOR HAND-HELD OBJECT RECOGNITION
Jose Rivera-Rubio, Saad Idrees, Ioannis Alexiou, Lucas Hadjilucas, Imperial College London, United Kingdom; Anil Bharath, Imperial College & Cortexica Vision Systems, United Kingdom
ARS-P18.3—MODELING LABEL DEPENDENCIES IN KERNEL LEARNING FOR IMAGE ANNOTATION
Phong Vo, Hichem Sahbi, Telecom ParisTech, France
ARS-P18.4—AGE AND GENDER RECOGNITION USING INFORMATIVE FEATURES OF VARIOUS TYPES
Ehsan Fazl-Ersi, Mohammad Esmaeel Mousa Pasandi, Robert Laganiere, University of Ottawa, Canada; Maher Awad, ADitude Media Incorporation, Canada
ARS-P18.5—COMPLEMENTARY FEATURE EXTRACTION FOR BRANDED HANDBAG RECOGNITION
Yan Wang, Sheng Li, Alex Kot, Nanyang Technological University, Singapore
ARS-P18.6—HIERARCHY OF VISUAL FEATURES FOR OBJECT RECOGNITION
Nitin Gupta, Sukhendu Das, Sutanu Chakraborti, Indian Institute of Technology Madras, India
ARS-P18.7—QUALITY OF DIRTY: A DECISION MAKING
ASSESSMENT METHODOLOGY FOR AUTOMATIC LICENSE PLATE RECOGNITION UNDER
DIRTIED CONDITIONS
Junyong You, Christian Michelsen Research, Norway; Hans Bolstad, Norwegian Research Centre for Offshore Wind Technology, Norway; Andrew Perkis, Norwegian University of Science and Technology, Norway
ARS-P18.8—GENDER IDENTIFICATION IN UNCONSTRAINED SCENARIOS USING SELF-SIMILARITY OF GRADIENTS FEATURES
Hong Liu, Yuan Gao, Can Wang, Peking University, P.R. China
ARS-P18.9—HIERARCHICAL MULTI-FEATURE FUSION FOR MULTIMODAL DATA ANALYSIS
Hong Zhang, Li Chen, Jun Liu, Wuhan University of Science & Technology, P.R. China; Junsong Yuan, Nanyang Technological University, Singapore
ARS-P18.10—HIGH SPEED DEEP NETWORKS BASED ON DISCRETE COSINE TRANSFORMATION
Xiaoyi Zou, Xiangmin Xu, Chunmei Qing, Xiaofen Xing, South China University of Technology, P.R. China
ARS-P18.11—LEARNING A COMPACT LATENT REPRESENTATION OF THE BAG-OF-PARTS MODEL
Xiaozhi Chen, Huimin Ma, Tsinghua University, P.R. China
ARS-P18.12—SHARING MODEL WITH MULTI-LEVEL FEATURE REPRESENTATIONS
Li Shen, University of Chinese Academy of Sciences, P.R. China; Gang Sun, Shuhui Wang, Enhua Wu, Chinese Academy of Sciences, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China
ARS-P18.13—TEXTURE CLASSIFICATION USING ASYMMETRIC POWER DISTRIBUTION AND WAVELET TRANSFORMS
Nour-Eddine Lasmar, Alexandre Baussard, Gilles Le Chenadec, ENSTA Bretagne, France
ARS-P18.14—A SHAPE-BASED OBJECT CLASS DETECTION MODEL USING LOCAL SCALE-INVARIANT FRAGMENT FEATURE
Hui Wei, Jinwen Xiao, Fudan University, P.R. China
ARS-P18.15—REFINED CLOTHING TEXTURE PARSING BY EXPLOITING THE DISCRIMINATIVE MEANINGS OF SPARSE CODES
Fan Wang, Qiyang Zhao, Baolin Yin, Beihang University, P.R. China
ARS-P18.16—IMPROVING NON-NEGATIVE MATRIX FACTORIZATION VIA RANKING ITS BASES
Sheng Huang, Chongqing University & Rutgers University, P.R. China; Mohamed Elhoseiny, Ahmed Elgammal, Rutgers University, USA; Dan Yang, Chongqing University, P.R. China
ARS-P18.17—LEARNING CO-OCCURRENCE STROKES FOR SCENE CHARACTER RECOGNITION BASED ON SPATIALITY EMBEDDED DICTIONARY
Song Gao, Chunheng Wang, Baihua Xiao, Cunzhao Shi, Wen Zhou, Zhong Zhang, Institute of Automation, Chinese Academy of Sciences, P.R. China
COM-P4: Image Compression
Thursday 16:10–18:10; Poster Session; Poster Area B
COM-P4.1—OPERATIONAL RATE-DISTORTION SHAPE CODING WITH DUAL ERROR REGULARIZATION
Zhongyuan Lai, Jianghan University, P.R. China; Fan Zhang, Lenovo Group Ltd., Hong Kong; Weisi Lin, Nanyang Technological University, Singapore
COM-P4.2—COLORIZATION MATRIX CONSTRUCTION WITH HIGH COMPRESSION EFFICIENCY FOR COLORIZATION-BASED CODING USING OPTIMIZATION
Kazu Mishiba, Takeshi Yoshitome, Tottori University, Japan
COM-P4.3—COLOR PALETTE FOR SCREEN CONTENT CODING
Liwei Guo, Wei Pu, Feng Zou, Joel Sole, Marta Karczewicz, Rajan Joshi, Qualcomm, USA
COM-P4.4—ADAPTIVE GUIDED IMAGE FILTERING FOR SCREEN CONTENT CODING
Thijs Vermeir, Barco N. V. & Ghent University – iMinds, Belgium; Jürgen Slowack, Barco N. V., Belgium; Sebastiaan Van Leuven, Glenn Van Wallendael, Jan De Cock, Rik Van de Walle, Ghent University – iMinds, Belgium
COM-P4.5—ON PREDICTION TECHNIQUES FOR PALETTE CODING
Guoxin Jin, Northwestern University, USA; Ankur Saxena, Felix Fernandes, Samsung Information Systems America, USA
COM-P4.6—SELF-ADAPTIVE STRETCH IN ANAMORPHIC IMAGE COMPRESSION
Mohammad Asghari, Bahram Jalali, University of California, Los Angeles, USA
COM-P4.7—UNSUPERVISED AND SUPERVISED APPROACHES TO COLOR SPACE TRANSFORMATION FOR IMAGE CODING
Massimo Minervini, Cristian Rusu, Sotirios Tsaftaris, IMT Institute for Advanced Studies Lucca, Italy
COM-P4.8—EPITOME INPAINTING WITH IN-LOOP RESIDUE CODING FOR IMAGE COMPRESSION
Safa Cherigui, Université Rennes 1 & Technicolor, France; Martin Alain, Technicolor & INRIA, France; Christine Guillemot, INRIA, France; Dominique Thoreau, Philippe Guillotel, Technicolor, France
COM-P4.9—SIMPLIFIED DCT-LIFTING-BASED REVERSIBLE LAPPED TRANSFORMS USING PARALLEL PROCESSING OF TWO SAME TYPE LAPPED TRANSFORMS
Taizo Suzuki, University of Tsukuba, Japan; Masaaki Ikehara, Keio University, Japan
COM-P4.10—LOW DELAY WYNER-ZIV CODING USING OPTICAL FLOW
Matteo Salmistraro, Soren Forchhammer, Technical University of Denmark, Denmark
COM-P4.11—A BACKWARD WAVELET REMESHER FOR LEVEL OF DETAIL CONTROL AND SCALABLE CODING
Hao-Chiang Shao, Wen-Liang Hwang, Academia Sinica, Taiwan; Yung-Chang Chen, National Tsing Hua University, Taiwan
COM-P4.12—HIGHLY EFFICIENT, LOW COMPLEXITY ARITHMETIC CODER FOR JPEG2000
Francesc Auli-Llinas, Universitat Autonoma de Barcelona, Spain
COM-P4.13—RATE DISTORTION OPTIMIZED QUANTIZATION BASED ON WEIGHTED MEAN SQUARED ERROR FOR LOSSY IMAGE CODING
Da-ke He, Jing Wang, BlackBerry, Canada
COM-P4.14—AN EFFICIENT DCT-BASED IMAGE COMPRESSION SYSTEM BASED ON TRANSPARENT COMPOSITE MODEL
Chang Sun, En-hui Yang, University of Waterloo, Canada
COM-P4.15—OPTIMIZED QUANTIZATION OF WAVELET SUBBANDS FOR HIGH QUALITY REAL-TIME TEXTURE COMPRESSION
Bob Andries, Jan Lemeire, Adrian Munteanu, Vrije Universiteit Brussel, Belgium
COM-P4.16—IMPROVING HYBRID CODING VIA CONTROL OF QUANTIZATION ERRORS IN THE SPATIAL AND FREQUENCY DOMAINS
Amir Said, Onur Guleryuz, Sehoon Yea, LG Electronics, USA
COM-P4.17—LOSSY DEPTH IMAGE COMPRESSION USING GREEDY RATE-DISTORTION SLOPE OPTIMIZATION
Ionut Schiopu, Ioan Tabus, Tampere University of Technology, Finland
COM-P4.18—ADAPTIVE CONTEXT FORMATION FOR LINEAR PREDICTION OF IMAGE DATA
Tilo Strutz, Leipzig University of Telecommunications, Germany
COM-P4.19—LOSSLESS IMAGE COMPRESSION USING CAUSAL BLOCK MATCHING AND 3D COLLABORATIVE FILTERING
Robert Crandall, Ali Bilgin, University of Arizona, USA
COM-P4.20—A NEW DIFFERENTIAL AND LOSSLESS REFERENCE FRAME VARIABLE-LENGTH CODER: AN APPROACH FOR HIGH DEFINITION VIDEO CODERS
Dieison Silveira, Guilherme Povala, Lívia Amaral, Federal University of Pelotas, Brazil; Bruno Zatt, Federal University of Rio Grande do Sul, Brazil; Luciano Agostini, Marcelo Porto, Federal University of Pelotas, Brazil
COM-P4.21—AN EFFICIENT ADAPTIVE ARITHMETIC CODING FOR BLOCK-BASED LOSSLESS IMAGE COMPRESSION USING MIXTURE MODELS
Atef Masmoudi, Sfax Preparatory Engineering Institute, Tunisia; Afif Masmoudi, University of Sfax, Tunisia; William Puech, LIRMM, France
COM-P4.22—IMPROVED HEVC LOSSLESS COMPRESSION USING TWO-STAGE CODING WITH SUB-FRAME LEVEL OPTIMAL QUANTIZATION VALUES
Xun Cai, Massachusetts Institute of Technology, USA; Qunshan Gu, Google Inc., USA
COM-P4.23—ANCHOR POINTS CODING FOR DEPTH MAP COMPRESSION
Ionut Schiopu, Ioan Tabus, Tampere University of Technology, Finland
COM-P4.24—VISUALLY LOSSLESS STRATEGIES TO DECODE AND TRANSMIT JPEG2000 IMAGERY
Leandro Jimenez-Rodriguez, Francesc Auli-Llinas, Universitat Autonoma de Barcelona, Spain; Michael W. Marcellin, University of Arizona, USA
COM-P4.25—HIERARCHIZED BLOCK WISE IMAGE APPROXIMATION BY GREEDY PURSUIT STRATEGIES
Laura Rebollo-Neira, Ryszard Maciol, Shabnam Bibi, Aston University, United Kingdom
COM-P4.26—ASYMMETRIC CODING OF STEREOSCOPIC 3D BASED ON PERCEPTUAL SIGNIFICANCE
Sid Ahmed Fezza, University of Oran, Algeria; Chaker Larabi, Université de Poitiers, France; Kamel Mohamed Faraoun, Djillali Liabes University, Algeria
COM-P4.27—RATE DISTORTION OPTIMAL BIT ALLOCATION FOR STEREO IMAGE CODING
Walid Hachicha, Mounir Kaaniche, Azeddine Beghdadi, Université Paris 13, France; Faouzi Alaya Cheikh, Gjovik University College, Norway
IFS-P2: Image Security
Thursday 16:10–18:10; Poster Session; Poster Area A
IFS-P2.1—AN EFFECTIVE WATERMARKING METHOD AGAINST VALUMETRIC DISTORTIONS
Zairan Wang, Jing Dong, Wei Wang, Tieniu Tan, Chinese Academy of Sciences, P.R. China
IFS-P2.2—DISPARITY BASED STEREO IMAGE REVERSIBLE DATA HIDING
Ting Luo, Gangyi Jiang, Mei Yu, Feng Shao, Zongju Peng, Ningbo University, P.R. China
IFS-P2.3—A BLIND WATERMARKING SCHEME FOR DEPTH-IMAGE-BASED RENDERED 3D VIDEO USING THE DUAL-TREE COMPLEX WAVELET TRANSFORM
Md. Asikuzzaman, Md. Jahangir Alam, Andrew Lambert, Mark Pickering, University of New South Wales, Australia
IFS-P2.4—INFORMATION HIDING IN HEVC STANDARD USING ADAPTIVE CODING BLOCK SIZE DECISION
Yiqi Tew, KokSheik Wong, University of Malaya, Malaysia
IFS-P2.5—SIFT BASED ROBUST IMAGE WATERMARKING RESISTANT TO RESOLUTION SCALING
Priyatham Bollimpalli, Nilkanta Sahu, Arijit Sur, Indian Institute of Technology Guwahati, India
IFS-P2.6—IMPROVED STEGANALYSIS ALGORITHM AGAINST MOTION VECTOR BASED VIDEO STEGANOGRAPHY
Hao-tian Wu, Yuan Liu, Jiangnan University, P.R. China; Jiwu Huang, Shenzhen University, P.R. China; Xin-Yu Yang, Sun Yat-sen University, P.R. China
IFS-P2.7—STATISTICAL DETECTION OF JSTEG STEGANOGRAPHY USING HYPOTHESIS TESTING THEORY
Tong Qiao, Cathel Zitzmann, Florent Retraint, Rémi Cogranne, University of Technology of Troyes, France
IFS-P2.8—SCALABLE CODING OF STREAM CIPHER ENCRYPTED IMAGES VIA ADAPTIVE SAMPLING
Jiantao Zhou, University of Macau, Macao; Oscar Au, Hong Kong University of Science and Technology, Hong Kong
IFS-P2.9—A CHEAT PREVENTING METHOD WITH EFFICIENT PIXEL EXPANSION FOR NAOR-SHAMIR’S VISUAL CRYPTOGRAPHY
Shenchuan Liu, Hisilicon Technologies Co., Ltd, P.R. China; Masaaki Fujiyoshi, Hitoshi Kiya, Tokyo Metropolitan University, Japan
IFS-P2.10—SPARSE REPRESENTATION BASED ANOMALY DETECTION WITH ENHANCED LOCAL DICTIONARIES
Sovan Biswas, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
IFS-P2.11—A SEMI-AUTOMATIC DESHREDDING METHOD BASED ON CURVE MATCHING
Shize Shang, Dalian University of Technology, P.R. China; Husrev Sencar, New York University Abu Dhabi, UAE; Nasir Memon, New York University Polytechnic School of Engineering, USA; Xiangwei Kong, Dalian University of Technology, P.R. China
IFS-P2.12—EFFICIENT ALIGNMENT FOR VEHICLE MAKE AND MODEL RECOGNITION
Ninad Thakoor, Bir Bhanu, University of California, Riverside, USA
SMR-P4: Sensing and Acquisition
Thursday 16:10–18:10; Poster Session; Poster Area D
SMR-P4.1—A PRACTICAL METHOD FOR MEASURING THE SPATIAL FREQUENCY RESPONSE OF LIGHT FIELD CAMERAS
Damien Firmenich, Loic Baboulaz, Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SMR-P4.2—ROBUST VIDEO STABILIZATION BASED ON MESH GRID WARPING OF ROLLING-FREE FEATURES
Yeong Jun Koh, Korea University, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea
SMR-P4.3—SEMI-ONLINE VIDEO STABILIZATION USING PROBABILISTIC KEYFRAME UPDATE AND INTER-KEYFRAME MOTION SMOOTHING
Juhan Bae, Youngbae Hwang, Korea Electronics Technology Institute, Korea; Jongwoo Lim, Hanyang University, Korea
SMR-P4.4—KINECT UNBIASED
Manuel Martinez, Rainer Stiefelhagen, Karlsruhe Institute of Technology, Germany
SMR-P4.5—A COMPARATIVE ANALYSIS OF CAPACITIVE TOUCH PANEL GRID DESIGNS AND INTERPOLATION METHODS
Humza Akhtar, Ramakrishna Kakarala, Nanyang Technological University, Singapore
SMR-P4.6—MOTION ESTIMATION OF MULTIPLE DEPTH CAMERAS USING SPHERES
Xiaoming Deng, Jie Liu, Feng Tian, Chinese Academy of Sciences, P.R. China; Liang Chang, Beijing Normal University, P.R. China; Hongan Wang, Chinese Academy of Sciences, P.R. China
SMR-P4.7—A NOVEL GEOMETRIC APPROACH FOR CAMERA CALIBRATION
Zhe Zhang, Kin Hong Wong, The Chinese University of Hong Kong, Hong Kong
SMR-P4.8—FAST OMNI-IMAGE UNWARPING USING PANO-MAPPING POINTERS ARRAY
Jaime Reategui, Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Nicolas Ragot, Ecole Supérieure d’Ingenieurs en Genie Electrique, France
SMR-P4.9—SPECKLE IN ULTRASOUND IMAGES: FRIEND OR FOE?
Nikhil Narayan, Pina Marziliano, Jeevendra Kanagalingam, Christopher Hobbs, Nanyang Technological University, Singapore
SMR-P4.10—IMAGING ACTIVITY IN INTEGRATED CIRCUITS
Erik Matlin, Neil Troy, David Stoker, SRI International, USA
SMR-P4.11—CONTROLLED BLURRING FOR IMPROVING IMAGE RECONSTRUCTION QUALITY IN FLUTTER-SHUTTER ACQUISITION
Suraj Srinivas, PES Institute of Technology, India; Aniruddha Adiga, Chandra Sekhar Seelamantula, Indian Institute of Science, India
SMR-P4.12—3-D BATHYMETRIC RECONSTRUCTION IN MULTI-PATH AND REVERBERANT UNDERWATER ENVIRONMENTS
Augustin Saucan, Thierry Chonavel, Christophe Sintes, Jean Marc Le Caillec, Télécom Bretagne, France
SMR-P4.13—EFFECTS OF STAR EXTRACTION ARTIFACTS ON BLIND ATTITUDE DETERMINATION
Engin Tola, Aurvis R&D & Tubitak Uzay Space Technologies Research Institute, Turkey; Medeni Soysal, Tubitak Uzay Space Technologies Research Institute, Turkey
SMR-P4.14—BI-STATIC SYNTHETIC APERTURE INVERSION FOR NON-STATIONARY TARGET AND CLUTTER
H. Cagri Yanik, Birsen Yaz?c?, Rensselaer Polytechnic Institute, USA
SMR-P4.15—STRUCTURE PRESERVING BILATERAL FILTERING FOR POLSAR DATA
Xuezhi Yang, Ming Ye, Xiu Wu, Zhao Yang, Hefei University of Technology, P.R. China
SMR-P4.16—AUTOMATIC FAULT TRACKING ACROSS SEISMIC VOLUMES VIA TRACKING VECTORS
Zhen Wang, Zhiling Long, Ghassan AlRegib, Georgia Institute of Technology, USA; Amin Asjad, Mohamed Deriche, King Fahd University of Petroleum & Minerals, Saudi Arabia
SMR-P4.17—DISCONTINUOUS SEISMIC HORIZON RECONSTRUCTION BASED ON LOCAL DIP TRANSFORMATION
Guillaume Zinck, Marc Donias, University of Bordeaux, France; Sébastien Guillon, TOTAL, France
SMR-P4.18—TIME OF FLIGHT MOTION COMPENSATION REVISITED
Jens-Malte Gottfried, Rahul Nair, Stephan Meister, Christoph Garbe, Daniel Kondermann, University of Heidelberg, Germany
SMR-P4.19—AUTOMATED REGISTRATION OF LOW AND HIGH RESOLUTION ATOMIC FORCE MICROSCOPY IMAGES USING SCALE INVARIANT FEATURES
Yun-feng Wang, Trinity College Dublin, Ireland; Jason Kilpatrick, Suzanne Jarvis, University College Dublin, Ireland; Frank Boland, Anil Kokaram, David Corrigan, Trinity College Dublin, Ireland
SMR-P4.20—FLASH/NO-FLASH FUSION FOR MOBILE DOCUMENT IMAGE BINARIZATION
Jayant Kumar, Martin Maltz, Raja Bala, Xerox Corporation, USA
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{ICIP2014}{收录论文列表}
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