MDMM 2008

MDMM 2008
2nd International Workshop on Multimedia Data Mining and Management
Dates	Sep 1, 2008 (iCal) - Sep 5, 2008
Homepage:	www.bridgeport.edu/~jelee/mdmm
Location
Location:	Turin, Italy
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Important dates
Abstracts:	Mar 14, 2008
Submissions:	Mar 28, 2008
Notification:	Apr 25, 2008
Table of Contents

Workshop description and objective

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 of contributions 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 
	

This CfP was obtained from WikiCFP