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Extended Deadline: ICCV09 Workshop on Video-Oriented Object and Event Classification

From: Shuicheng Yan <shuicheng.nus@gmail.com>
Date: Sun, 24 May 2009 14:07:56 +0800
Message-ID: <3b50b55f0905232307o60722b35wa07b58a59fb18056@mail.gmail.com>
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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
Received on Sunday, 24 May 2009 06:08:51 GMT

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