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Notice

AISB event Bulletin Item

CFP: The First International Workshop on Video Mining (VM2008)

http://www4.comp.polyu.edu.hk/~csdct/Conference/VM2008/VM2008.html

Call for Papers
       The First International Workshop on Video Mining (VM'08)
                 Pisa, Italy, December 19, 2008
                In conjunction with IEEE ICDM2008
(http://www4.comp.polyu.edu.hk/~csdct/Conference/VM2008/VM2008.html)
********************************************************************

With cameras become pervasive in our daily life, vast amounts of videos are
generated in different aspects of our society every day. The popularity of
YouTube-like websites is one of strong evidences for this. How to
effectively analyze and use the already huge, rapidly growing video data is
one of main challenges we are facing. Video processing and analysis
techniques become more and more important in the field of computer vision
and image understanding and other related areas. There are wide-rage
potential video-based applications in many areas including multimedia, human
computer interface, security and surveillance, copyright protection,
personal entertainment, to name a few.

Video mining is to discover and describe interesting patterns in video data,
which has become one of the core problem areas of the data mining research
community.  Compared to the mining of other types of data (e.g., text),
video mining is still in its infancy, and an under-explored field. There are
many challenging research problems facing video mining. For example, how to
discover knowledge from spatial-temporal data, how to infer high-level
semantic concepts from low-level features extracted from videos, how to make
use of unlabeled data. Applying general data mining techniques for video
data will face a number of difficulties as well, because of the need to
analyze large amount of high-dimensional data. To address these challenges,
we have to adapt the existing data mining theory or algorithm for video data,
or find new techniques and approaches suitable for video data.

This one-day workshop seeks to present and highlight the latest developments
in video data mining and video-based applications. It aims to bring together
worldwide researchers from related disciplines, to provide a forum for the
dissemination of significant research work and innovative practice, and to
encourage exchanges, interactions and possible collaboration between
participants.

Topics of interest include, but are not limited to,
------------------
* Video clustering and categorization
* Video based object recognition
* Video segmentation and summarization
* Video feature extraction and representation
* Video indexing and retrieval
* Video search engines
* Video editing and browsing systems
* Visual event and activity detection
* Statistical techniques for video analysis
* Semantic video content analysis
* Video processing for HCI
* Video surveillance (person identification, abnormal activity labeling ...)
* Consumer video applications (sports highlight detection, commercial
  message extraction ...)

Program Co-chairs
-----------------
o Dan Schonfeld    University of Illinois at Chicago, USA
o Caifeng Shan     Philips Research, The Netherlands
o Dacheng Tao      Hong Kong Polytechnic University, China
o Liang Wang       The University of Melbourne, Australia

PC Members
----------
o Rainer Lienhart    Institut fr Informatik, Universitt Augsburg, Germany
o Shaogang Gong      Queen Mary University London, UK
o Wolfgang Klas      Institute for Distributed & Multimedia Systems, Austria
o C.-C. Jay Kuo      University of South California, USA
o Greg Mori        Simon Fraser University , Canada
o Stan Li                Chinese Academy of Sciences, China
o Zoran Dimitrijevic Google Inc, USA
o Qi Li                  Western Kentucky University, USA
o Kadir A. Peker     Bilkent University,  Turkey
o Tao Mei                Microsoft Research Asia, China
o Dimitrios Makris   Kingston University, UK
o Tianhao Zhang      Hong Kong Polytechnic University, Hong Kong, China
o Stephen J. Maybank Birkbeck, University of London, UK
o Jiebo Luo        Kodak Research Labs, USA
o Ashfaq Khokhar     University of Illinois at Chicago, USA
o Qi Tian                University of Texas, USA
o Xiaozhe Wang     University of Melbourne, Australia
o David Doermann     University of Maryland, USA
o Liang-Tien Chia    Nanyang Technological University

Important dates
---------------
Submission deadline:            **August 1, 2008**
Notification of acceptance:     September 15, 2008
Camera-ready due:               October 7, 2008
Workshop:                       December 19, 2008

Paper Submission
----------------
* In submitting a manuscript to this workshop, the authors acknowledge that
no paper substantially similar in content has been submitted to another
conference, workshop, or journal.
* As tradition at ICDM, a "forward to workshops" mechanism will be adopted
this year, where a paper not accepted for the main ICDM conference can be
(at the author's request) "fast-tracked" to this workshop, preserving
reviews.
* The format of the paper is the same as the ICDM main conference paper.
Please follow the instructions on the website http://icdm08.isti.cnr.it/.
The review process will be double-blind.
* For the paper submission, please follow the link (To be announced by ICDM
2008).

Review and publication
----------------------
Each submission will be reviewed by at least three reviewers from program
committee members and external reviewers for originality, significance,
clarity, soundness, relevance and technical contents. Accepted papers will
be published by IEEE in the workshop proceedings of ICDM 2008, and will be
invited to submit in the extended form to an edited book (Springer) by the
organizers and/or a journal special issue after conference.

Registration
------------
At least one author for each paper needs to register to ICDM 2008. There is
no separate registration for the workshop. The main conference registration
covers everything.

Contact
-------
Any information or inquiries regarding the workshop can be forwarded to:
 or
.