-------- Original-Nachricht -------- Betreff: [isworld] ICDM08 workshop on video mining Datum: Mon, 16 Jun 2008 10:06:43 +1000 Von: Liang Wang lwwang@csse.unimelb.edu.au Antwort an: Liang Wang lwwang@csse.unimelb.edu.au An: AISWORLD Information Systems World Network isworld@lyris.isworld.org
http://www4.comp.polyu.edu.hk/~csdct/Conference/VM2008/VM2008.html
First International Workshop on Video Mining (VM08)
In association with ICDM 2008
Pisa, Italy
15 (or 19) December, 2008
Call for Papers
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
* Prof Dan Schonfeld University of Illinois at Chicago, USA * Dr Caifeng Shan Philips Research, The Netherlands * Dr Dacheng Tao Hong Kong Polytechnic University, China * Dr Liang Wang The University of Melbourne, Australia
PC Members
* Rainer Lienhart Institut für Informatik, Universität Augsburg, Germany * Shaogang Gong Queen Mary University London, UK * Wolfgang Klas Institute for Distributed and Multimedia Systems, Austria * C.-C. Jay Kuo University of South California, USA * Greg Mori Simon Fraser University , Canada * Stan Li Chinese Academy of Sciences, China * Zoran Dimitrijevic Google Inc, USA * Qi Li Western Kentucky University, USA * Kadir A. Peker Bilkent University, Turkey * Tao Mei Microsoft Research Asia, China * Dimitrios Makris Kingston University, UK * Tianhao Zhang Hong Kong Polytechnic University, Hong Kong, China * Stephen J. Maybank Birkbeck, University of London, UK * Jiebo Luo Kodak Research Labs, USA * Ashfaq Khokhar University of Illinois at Chicago, USA * Qi Tian University of Texas, USA * Xiaozhe Wang University of Melbourne, Australia * David Doermann University of Maryland, USA
Important dates
Submission deadline: August 1, 2008
Notification of acceptance: September 15, 2008
Camera-ready due: October 7, 2008
Workshop: December 15 (or 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 or workshop. * 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 (TBA).
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 a journal special issue after conference and/or an edited book by the organizers.
Final Workshop Program
TBA
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