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MDMM 2008 : 2nd International Workshop on Multimedia Data Mining and Management


Conference Series : Multimedia Data Mining and Management
When Sep 1, 2008 - Sep 5, 2008
Where Turin, Italy
Abstract Registration Due Mar 14, 2008
Submission Deadline Mar 28, 2008
Notification Due Apr 25, 2008
Categories    multimedia   data mining

Call For Papers

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


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

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