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

The 4th International Workshop on
Multimedia Data Mining and Management (MDMM'13)
http://www.bridgeport.edu/~jelee/mdmm
to be held in conjunction with
the 24th International Conference on DEXA 2013
August 26 - September 30, Prague, Czech Republic
=======================================================
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 ===
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
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
== 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'13 will be published with IEEE CS Press in the workshop proceedings of DEXA'13. 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 (https://confdriver.ifs.tuwien.ac.at/dexa2013/home/...).
== Important Dates ==
Submission website open: January 15, 2013
Abstract Submission: March 23, 2013
Full Paper Submission: March 30, 2013
Notification to Authors: April 26, 2013
Final Versions of Accepted Papers and Registration: May 25, 2013
== Organizational Committee ==
Jeongkyu Lee
Department of Computer Science & Engineering
University of Bridgeport
jelee-AT-bridgeport.edu
http://www.bridgeport.edu/~jelee
For further information regarding the workshop and paper submission, please contact: Jeongkyu Lee at jelee-AT-bridgeport.edu