ICCV 09 Workshop 2009 - ICCV 09 Workshop on Video-Oriented Object and Event Classification

ICCV 09 Workshop on Video-Oriented Object and Event Classification

http://www.lv-nus.org/voec09/index.html

Techniques for video oriented object and event classification have attracted
much attention owing to the great potentials in surveillance, video
summarization, video semantic understanding and search, advertisement,
robotics, and human computer interface. Recent rapid advances have paved
roads for video-oriented object and event recognition. However, there still
exist many key issues unsolved, e.g. How to design effective and efficient
features dedicated to video data? How to manage large-scale video database?
How to handle low-quality videos? How to preserve privacy in surveillance
application? The main purpose of this one day workshop is to provide a forum
for researchers to discuss the latest progress in video based object and
event classification, and also provide a platform for researchers to
understand the main challenges and key issues in this area. Original
high-quality papers are solicited on topics including, but not limited to
Feature design for video-based object and event classification
Machine learning techniques for video-based object and event classification
Video-based biometric (e.g. face, gesture, gait, etc)
Video-based object detection (e.g. human, car, etc)
Motion analysis in video (e.g. motion segmentation, structure from motion,
etc)
Action, activity, and event classification in videos
Techniques for large-scale video analysis
Techniques for low-quality video analysis (e.g. super-resolution, video
stabilization, etc)
Techniques for extracting semantics yet preserving privacy (e.g. blind
vision, middleware)
Other video based applications
The important dates:

Paper Submission: May 20, 2009
Notification of Acceptance: July 01, 2009
Camera-ready Version: July 14, 2009
Workshop: September 28, 2009
Advisory Board
Thomas Huang, University of Illinois at Urbana-Champaign, USA
Dimitris N. Metaxas, Rutgers University, USA
Xiaoou Tang, the Chinese University of Hong Kong, Hong Kong
Songde Ma, National Laboratory of Pattern Recognition, Chinese Academy of
Sciences, China
Workshop Co-Chairs
Shuicheng Yan, National University of Singapore, Singapore
Qingshan Liu, Rutgers University, USA
Changsheng Xu, National Laboratory of Pattern Recognition, Chinese Academy
of Sciences, China
Web Co-Chair
Ju Sun, National University of Singapore, Singapore.
Program Committee
(sorted alphabetically by last name)
Prof. Shih-Fu Chang, Columbia University, USA
Prof. Rama Chellappa, University of Maryland, USA
Prof. Tat-Seng Chua, National University of Singapore, Singapore
Prof. James W. Davis, Ohio State University
Prof. Tony Han, University of Missouri, USA
Prof. Fei-Fei Li, Princeton University, USA
Prof. Stan Li, NLPR, China
Prof. Xuelong Li, University of London, UK
Prof. Zhu Li, Hong Kong Polytechnic University, HK
Dr. Zhicheng Liu, Microsoft Research, USA
Dr. Jiebo Luo, Kodak, USA
Dr. Fatih Porikli, MERL
Prof. Dan Schonfeld, University of Illinois at Chicago, USA
Dr. Ying Shan, Microsoft Research, USA
Prof. Ming-Hsuan Yang, University of California at Merced, USA
Others coming soon!