Prague, Czech Republic, August 26-30, 2013 

Workshop on Multimedia Data Mining and Management 

   
   

 

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MDMM 2013: 4th International Workshop on Multimedia Data Mining and Management
August 26 ~ 30, 2013, Prague, Czech Republic
in conjunction with
24th International Conference on DEXA 2013

http://www.bridgeport.edu/~jelee/mdmm/
  • The deadline for the abstract and full paper submissions have been extended as follows:
    == Extended deadline for Submission ==

    New Abstract and Full Paper Submission: April 14, 2013
     
  • [New: Jan 15, 2013] Submission website is now open: https://confdriver.ifs.tuwien.ac.at/dexa2013/home/323
  • MDMM website is now open
Workshop Title

MDMM 2013: 4th International Workshop on Multimedia Data Mining and Management

 

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 a large data set including database, social media data and big data. 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

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

  • Social media data mining
  • Big data analytics for multimedia data
  • Natural User Interface of multimedia data, such as Kinect device
  • 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
     
   
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e-Mail: jelee@bridgeport.edu
 
 
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