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Category:   E-CFP
Subject:   Extended Deadline: ICCV09 Workshop on Video-Oriented Object and Event Classification
Email:   shuicheng.nus_(on)_gmail.com
Date received:   24 May 2009
Deadline:   14 Jun 2009
Start date:   28 Sep 2009

Dear all, We have extended the deadline for ICCV09 Workshop on Video-Oriented Object and Event Classification (VOEC'09) to June 14, 2009 as requested to be consistent with other workshops in ICCV09. Below is the revised detail for this workshop: Call For Papers: ICCV09 Workshop on Video-Oriented Object and Event Classification (VOEC'09) 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 1. Feature design for video-based object and event classification 2. Machine learning techniques for video-based object and event classification 3. Video-based biometric (e.g. face, gesture, gait, etc) 4. Video-based object detection (e.g. human, car, etc) 5. Motion analysis in video (e.g. motion segmentation, structure from motion, etc) 6. Action, activity, and event classification in videos 7. Techniques for large-scale video analysis 8. Techniques for low-quality video analysis (e.g. super-resolution, video stabilization, etc) 9. Techniques for extracting semantics yet preserving privacy (e.g. blind vision middleware) 10. Other video based applications Important Dates: 1. Paper Submission: June 14, 2009 2. Notification of Acceptance: July 05, 2009 3. Camera-ready Version: July 14, 2009 4. Workshop Date: 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. Best Paper Award: The best paper award sponsored by IBM is set up to encourage submission of high-quality papers on related research. 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, USA · Dr Clinton Fookes, Queensland University of Techonology · Dr. Yun Fu, BBN Technologies, USA · 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, USA · 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 _______________________________________________ Elsnet-list mailing list Elsnet-list_(at)_mailman.let.uu.nl http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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