MM-INTEREST Archives

ACM SIGMM Interest List

MM-INTEREST@LISTSERV.ACM.ORG

Options: Use Classic View

Use Proportional Font
Show HTML Part by Default
Show All Mail Headers

Topic: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Cees Snoek <[log in to unmask]>
Wed, 7 Apr 2010 21:26:39 +0200
text/plain (87 lines)
-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o
                         *CALL FOR PAPERS*
                  Tenth International Workshop on
                     *Multimedia Data Mining*

     In conjunction with KDD-2010, July 25, Washington, DC, USA

             https://sites.google.com/site/mdmkdd2010/
-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o


-o-o-o-o-o-o-o-o-o-o-o-o-
*Aims and Scope*
-o-o-o-o-o-o-o-o-o-o-o-o-

The objective of the workshop is to 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. The major topics of the workshop 
include but are not limited to the following:


-o-o-o-o-o-o-o-o-o-o-o-o-
*Topics of Interest*
-o-o-o-o-o-o-o-o-o-o-o-o-

-	Data mining of media rich platforms (on-line communities, blogs, 
social networks, virtual communities, virtual worlds)
-	Data mining of large datasets of user generated content (e.g., 
YouTube, Flickr, etc.)
-	Integrated mining of different data formats (text, speech, video, 
images, relational data)
-	Merging and integration of mining results from different sources
-	Mining of data streams combined with structured data
-	Representation and reuse of discovered multimedia knowledge.
-	Mining scientific multimedia data.
-	Man-machine interfaces for multimedia data mining.
-	Multimodal techniques for interactive multimedia data mining and 
exploration.
-	Complexity, efficiency and scalability of multimedia data mining 
algorithms.
-	Real-time multimedia data mining systems.
-	Knowledge representation and integration for multimedia data mining
-	Multimedia data mining techniques for specific domains and 
applications (e.g., biomedicine, education, entertainment, security, 
animation, art, etc.)
-	Theoretical frameworks for multimedia data mining.
-	Multimedia data-specific sampling and preprocessing.
-	Topic and event discovery in large multimedia repositories


-o-o-o-o-o-o-o-o-o-o-o-o-
*Paper Submission*
-o-o-o-o-o-o-o-o-o-o-o-o-

Papers should be at most 10 pages long, single-spaced, in font size 10 
or larger with one-inch margins on all sides. Paper should be submitted 
in PDF format using the ACM SIG Proceedings templates 
http://www.acm.org/sigs/publications/proceedings-templates to the e-mail 
address [log in to unmask]

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

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


-o-o-o-o-o-o-o-o-o-o-o-o-
*Important Dates*
-o-o-o-o-o-o-o-o-o-o-o-o-

-	Papers Submission deadline: May 7, 2010
-	Notification of Acceptance: May 21, 2010
-	Camera ready submission: May 28, 2010
-	Workshop Presentation: July 25, 2010


-o-o-o-o-o-o-o-o-o-o-o-o-
*Organizing Committee*
-o-o-o-o-o-o-o-o-o-o-o-o-

Jia-Yu (Tim) Pan  (Google, Mountain View, CA, USA)
Valery A. Petrushin (The Nielsen Company, USA)
Cees G.M. Snoek (University of Amsterdam, The Netherlands)

ATOM RSS1 RSS2