Visual Information Processing and Communication VIII
Monday January 30, 2017
Image and Video Compression
Session Chair:
Yong Li, Beijing University of Posts and Telecommunications (China)
10:50 AM – 12:30 PM
Cypress A
10:50VIPC-398
A fast TU mode decision algorithm based on residual difference for HEVC, Nian-Rong Li1, Kai-Wen Liang1, Zong-Yi Chen1, Hui-Yu Jiang1, Jiunn-Tsair Fang2, and Pao-Chi Chang1; 1National Central University and 2Ming Chuan University (Taiwan)
11:10VIPC-399
A fast intra mode decision algorithm for HEVC, Weihang Liao, Daiqin Yang, and Zhenzhong Chen, Wuhan University (China)
11:30VIPC-400
Diamond frequency domain inter frame motion estimation for HEVC, Abdelrahman Abdelazim1, Ahmed Hamza2, Mohamed Hefeida1, and Djamel Ait-Boudaoud2; 1The American University of the Middle East (Kuwait) and 2University of Portsmouth (United Kingdom)
11:50VIPC-401
Compression of infrared images, Claire Mantel and Soren Forchhammer, Denmark Technical University (Denmark)
12:10VIPC-402
Graph regularized sparse coding by modified online dictionary learning, Lingdao Sha, Jing Wang, and Dan Schonfeld, University of Illinois at Chicago (United States)
12:30 – 2:00 PM Lunch Break
EI 2017 Opening Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
Giga-scale 3D computational microscopy, Laura Waller, University of California, Berkeley (United States)
Laura Waller is the Ted Van Duzer Endowed Assistant Professor of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley. She is a Senior Fellow at the Berkeley Institute of Data Science, and received her BS (2004), MEng (2005), and PhD (2010) in EECS from the Massachusetts Institute of Technology (MIT). Waller's talk is on computational imaging methods for fast capture of gigapixel-scale 3D intensity and phase images in a commercial microscope that employs illumination-side and detection-side coding of angle (Fourier) space with simple hardware and fast acquisition. The result is high-resolution reconstructions across a large field-of-view, achieving high space-bandwith-time product.
3:00 – 3:30 PM Coffee Break
Segmentation
Session Chair:
Edward Delp, Purdue University (United States)
3:30 – 4:30 PM
Cypress A
3:30VIPC-403
A coarse-to-fine framework for video object segmentation, Chi Zhang1 and Alexander Loui2; 1Rochester Institute of Technology and 2Kodak Alaris Inc. (United States)
3:50VIPC-404
A fast and accurate segmentation method for medical images, Jiatao Wu, Yong Li, Chunxiao Fan, and Hongbin Jin, Beijing University of Posts and Telecommunications (China)
4:10VIPC-405
Adaptive combination of local motion, appearance, and shape for video segmentation (JIST-first), Soochahn Lee1, Woo-sung Shim2, and Se-hoon Kim2; 1Soonchunhyang University and 2Samsung Electronics (Republic of Korea)
5:00 – 6:00 PM All-Conference Welcome Reception, Atrium
Tuesday January 31, 2017
Techniques for Image and Video Processing
Session Chair:
Zoe Liu, Google, Inc. (United States)
8:50 – 10:10 AM
Cypress A
8:50VIPC-406
Improvement of infrared image based on directional anisotropic wavelet transform, Hongbin Jin1, Chunxiao Fan1, Quanxin Wang2, and Yong Li1; 1Beijing University of Posts and Telecommunications and 2Ultimedical, Inc (China)
9:10VIPC-407
New diamond half-pel hexagon serach algorithm for block matching motion estimation, Abdelrahman Abdelazim1, Ahmed Hamza2, Bassam Noaman1, and Djamel Ait-Boudaoud2; 1The American University of the Middle East (Kuwait) and 2University of Portsmouth (United Kingdom)
9:30VIPC-408
Self-example-based edge enhancement algorithm for around view monitor images, Dong Yoon Choi1, Ji Hoon Choi1, Jin Wook Choi2, and Byung Cheol Song1; 1Inha University and 2Hyundai Motor Company (Republic of Korea)
9:50VIPC-409
Adaptive multireference prediction using a symmetric framework, Zoe Liu1, Debargha Mukherjee1, Wei-Ting Lin2, Paul Wilkins1, Jingning Han1, Yaowu Xu1, and James Bankoski1; 1Google Inc. and 2University of California, Santa Barbara (United States)
10:00 AM – 7:30 PM Industry Exhibition
10:10 – 10:50 AM Coffee Break
Databases and Classification
Session Chair:
Robert Stevenson, University of Notre Dame (United States)
10:50 – 11:30 AM
Cypress A
10:50VIPC-411
Semi-supervised learning feature representation for historical Chinese character recognition, Xiaoyi Yu, Wei Fan, and Jun Sun, Fujitsu R&D Co. Limited (China)
11:10VIPC-412
Document image classification on the basis of layout information, Sergey Zavalishin1,2, Andrey But3, Ilya Kurilin1, and Michael Rychagov1; 1Samsung R&D Institute Russia, 2Ryazan State Radio Electronics University (RSREY), and 3Kaspersky Lab (Russian Federation)
11:30 AM – 2:00 PM Lunch Break
EI 2017 Tuesday Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
VR 2.0: Making virtual reality better than reality, Gordon Wetzstein, Stanford University (United States)
Gordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science, at Stanford University, and leads the Stanford Computational Imaging Group. He received a PhD in computer science from the University of British Columbia (2011) where his doctoral dissertation focused on computational light modulation for image acquisition and display. In his talk, Wetzstein explores the frontiers of VR systems engineering. Eventually, VR/AR systems will redefine communication, entertainment, education, collaborative work, simulation, training, telesurgery, and basic vision research, as next-generation computational near-eye displays evolve to deliver visual experiences that are better than the real world.
3:00 – 3:30 PM Coffee Break
5:30 – 7:30 PM Symposium Demonstration Session, Grand Peninsula Ballroom E