The 1st International Workshop on Multimedia Data Mining and Management (MDMM07) (MDMM'07)

Venue: Regensburg

Location: Regensburg, Germany

Event Date/Time: Sep 03, 2007 End Date/Time: Sep 07, 2007
Abstract Submission Date: Mar 02, 2007
Paper Submission Date: Mar 23, 2007
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Description

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=========== MDMM 07 Call For Papers ===================

The 1st International Workshop on
Multimedia Data Mining and Management (MDMM'07)

http://www.bridgeport.edu/~jelee/mdmm

to be held in conjunction with
the 18th International Conference on DEXA 2007
September 3 - 7 Regensburg, Germany

=======================================================

With the recent advances in electronic imaging, video devices, storage, networking and computer power, the amount of digital videos has grown enormously, and data mining has become a popular way of discovering new knowledge from such a large video data sets. Video data mining is a discipline which brings together database systems, artificial intelligence, and video processing. It is important to understand what is video data mining, how to data mining techniques can contribute to discover new knowledge, how to organize and manage the discovered knowledge and concepts. As a result of this research, the applications of video data mining are diverse from video surveillance systems to medical video analysis.

In this workshop, we aim to solicit papers that address the technical challenges in mining video data. Through the workshop, we expect to bring together experts in analysis of video data, state-of-art data mining and knowledge discovery in video database systems, and domain experts in diverse areas, such as medical, surveillance, and education.


=== TOPICS ===

The major topics of the workshop include but are not limited to:

* Algorithms and Models

Association rules for video data mining
Clustering (Unsupervised learning) algorithms for video data mining
Conceptual clustering algorithms for video data mining
Neural networks for video data mining
Parallel and distributed data mining for large video data
Video data mining in pervasive computing environment
Video ontology
Stream data mining algorithms
Spatio-Temporal data mining and algorithms

* Applications

Medical video data mining and applications
Video surveillance systems
Moving objects tracking
Video summarization
Video abstraction
Contents-based video retrieval systems
Video segmentation


== Submission Guidelines ==

Authors are invited to submit research contributions or practical experience reports in English (not more than 4000 words or 5 two column pages in IEEE format). The papers accepted for MDMM'07 will be published with IEEE CS Press in the workshop proceedings of DEXA'07. Inclusion of a paper in the proceedings is contingent on one of the authors registering and presenting at the conference. Submission site will be open soon.


== Important Dates ==

Abstract Submission: March 2, 2007
Full Paper Submission: March 23, 2007
Notification to Authors: April 28, 2007
Final Versions of Accepted Papers: May 31, 2007


== Organizing Committee ==

Jeongkyu Lee
Department of Computer Science & Engineering
University of Bridgeport
jelee@bridgeport.edu
http://www.bridgeport.edu/~jelee

JungHwan Oh
Department of Computer Science & Engineering
University of North Texas
jhoh@cse.unt.edu
http://www.cse.unt.edu/~jhoh


== Program Committee ==

Antonio Farina, University da Coruna, A Coruna (Spain),
Phuong Nguyen Duc, Universitat Basel (Switzerland)
Guoliang Fan, Oklahoma State University (USA),
Hyoil Han, Drexel University (USA),
M. Emre Celebi, University of Missouri, Rolla (USA),
Navarun Gupta, University of Bridgeport (USA),
Jeongkyu Lee, University of Bridgeport (USA),
JungHwan Oh, University of North Texas (USA),
Kyungseo Park, University of Texas, Arlington (USA),
Oscar Pedreira, University da Coruna, A Coruna, (Spain),
Ramazan Savas Aygun, University of Alabama, Huntsville (USA),
Ramez Elmasri, University of Texas, Arlington (USA),
Yan Huang, University of North Texas (USA),
Xiaohui Yuan, University of North Texas (USA)


For further information regarding the workshop and paper submission, please contact:
Jeongkyu Lee at jelee@bridgeport.edu

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