MDMM09:3rd International Workshop on Multimedia Data Mining and Management (MDMM09)

Venue: Linz

Location: Linz, Austria

Event Date/Time: Aug 31, 2009 End Date/Time: Sep 04, 2009
Abstract Submission Date: Mar 08, 2009
Paper Submission Date: Mar 15, 2009
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Description

=========== MDMM'09 Call For Papers ===================

The 3rd International Workshop on
Multimedia Data Mining and Management (MDMM'09)

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

to be held in conjunction with
the 20th International Conference on DEXA 2009
August 31 - September4 Linz, Austria

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

With the recent advances in electronic imaging, video devices, storage, networking and computer power, the amount of multimedia has grown enormously,

and data mining has become a popular way of discovering new knowledge from such a large data sets. Multimedia data mining is a discipline which brings

together database systems, artificial intelligence, and multimedia processing, such as image and video processing. It is important to understand what

is multimedia data mining, how data mining techniques can contribute to discover new knowledge, how to organize and manage the discovered knowledge

and concepts. The multimedia data appear in multiple forms including audio, speech, text, web, image, video and combinations of several types.

In this workshop, we aim to solicit papers that address the technical challenges in mining multimedia data and management. Through the workshop, we

expect to bring together experts in analysis of multimedia data, state-of-art data mining and knowledge discovery in multimedia 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 multimedia data mining
Clustering algorithms for multimedia data mining
Classification algorithms for multimedia data mining
Conceptual clustering for multimedia data mining
Neural networks for multimedia data mining
Parallel and distributed data mining for multimedia data
Multimedia data mining in pervasive computing
Multimedia ontology
Stream data mining algorithms
Spatio-Temporal data mining and algorithms


* Applications

Audio/Image/Video DBMSs
Data mining system for medical multimedia data
Multimedia segmentation
Visualization
Semantic web and annotation
Summarization and abstraction
Video abstraction
Contents-based image/video retrieval systems



== Submission Guidelines ==

Authors are invited to submit research contributions or practical experience reports in English. The paper is limited to 5 pages in IEEE format (two

columns). The papers accepted for MDMM’09 will be published with IEEE CS Press in the workshop proceedings of DEXA’09. Inclusion of a paper in the

proceedings is contingent on one of the authors registering and presenting at the conference. Please upload abstract (no more than 250 words in ASCII

text) and paper at ConfDriver system (http://confdriver.ifs.tuwien.ac.at/).

== Important Dates ==

Submission website open: January 12, 2009
Abstract Submission: March 8, 2009
Full Paper Submission: March 15, 2009
Notification to Authors: April 25, 2009
Final Versions of Accepted Papers: May 15, 2009


== Organizational Committee ==

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


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

Venue

Linz
Linz
Austria
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