The Twelfth International Workshop on Multimedia Data Mining (MDMKDD 2012)

August 12, 2012
Beijing, China

Workshop website:  http://sites.google.com/site/mdmkdd2012/
Mirrored site: http://mdmkdd2012.idm.pku.edu.cn/

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The MDM/KDD 2012 workshop is in conjunction with the 18th ACM SIGKDD
Conference on Knowledge Discovery and Data Mining (KDD-2012).

Important Dates:

Submission Due: May 21, 2012 (Monday)
Acceptance Notification: June 1, 2012 (Friday)
Camera-ready Due: June 8, 2012 (Friday)
Workshop Date: August 12, 2012 (Sunday)


Papers accepted for presentation at the workshop will be published in
the workshop proceedings and at the ACM digital library.

Paper submission and reviewing will be handled electronically. Authors
should consult the workshop Web site for full details regarding paper
preparation and submission guidelines:
https://sites.google.com/site/mdmkdd2012/submission-instructions


The paper submission site for the MDM/KDD 2012 workshop is:

https://cmt.research.microsoft.com/MDMKDD2012/.


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Workshop Topics:

MDM/KDD 2012 will bring together experts in the analysis of digital
media content, multimedia databases, knowledge engineers and domain
experts from different applied disciplines with potential in
multimedia data mining.  A new focus in this edition of the workshop
is the emerging multimedia applications on mobile devices. Other major
topics of the workshop include but are not limited to the following:

Emerging technology of data mining for mobile applications.
Emerging technology of data mining on media rich platforms and
location enhanced environments (location based services like
Foursquare, mobile maps, navigation systems, GIS applications).
Multimedia data mining across platforms, including web and mobile devices.
Mining large datasets of user generated content with a geographical dimension.
Scalable mobile multimedia computing.
Scalable mobile visual search.
Predictive and prescriptive multimedia data modeling.
Privacy preserving data mining.
Mining multimedia time series.
Multi-objective multimedia data mining.
Anomaly and outlier detection in multimedia databases.
Merging and integration of mining results from different sources (e.g,
ensembles, fusion techniques, etc.).
Scalable data mining techniques for large-scale multimedia databases.
Human-computer interfaces for multimedia data mining.
Topic and event discovery in large multimedia repositories.


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Software demonstrations are welcome. We encourage submissions of
‘greenhouse’ work, which present early stages of cutting-edge research
and development.


Workshop Co-Chairs:

Aaron Baughman, IBM SME/Research Department
Jiang (John) Gao, Nokia USA
Tim Pan, Google USA
Fang Chu, Google China
Yizhou Wang, Peking University