Welcome to June’s edition of the IEEE-TCMC (Technical Committee on Multimedia Computing) monthly mailing.
This month’s topics include:
IEEE Multimedia Magazine Special issue CFP
TCMC Executive Committee Meeting (Jul. 16th)
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TCMC will have a executive committee meeting on Jul. 16th, held in conjunction with IEEE ICME’13.
http://icme2013.org/sidemeetings.php
Date: Jul. 16th
Time: Lunch (noon)
Room: Valley
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Large Scale Geo-Social Multimedia Computing
Submission deadline: August 15, 2013
Publication issue: July–September 2014
With the advance of Web 2.0 era, there is an explosive growth of geographical multimedia shared in social network websites such as Flickr, YouTube and Zooomr. On one hand, rather than simply searching for and passively consuming media content, these media repositories allow users to create and exchange their own media data (including videos, images, music, blogs and so on) for social interaction, which brings in a new revolution to our social lives and underscores a transformation of the Web as fundamental as its birth. On the other hand, besides the plain visual signals, more and more social media is also associated with rich location context such as GPS tags, location name identifications and metadata, benefiting a wide variety of potential multimedia applications such as annotation, visual search and contextual media recommendation, multimedia mining and so on from a more physically related point of view. Recently, research on the location aware media description, modeling, learning, and application in pervasive social media analysis has become very popular. Such location context makes the traditional difficult problems in multimedia content analysis become more tractable. For example, large-scale image repository can be significantly pruned if we use the GPS information to filter out the irrelevant images with respect to the query image. We see a timely opportunity for organizing a special issue to bring together active researchers to share recent progress in this exciting area. This special issue serves as a forum for researchers all over the world to discuss their works and recent advances in recognition and mining of geographical aware social multimedia. Both state-of-the-art works, as well as literature reviews, are welcome for submission. Especially, to provide readers of the special issue with a state-of-the-art background on the topic, we will invite one survey paper, which will undergo peer review.
This special issue seeks to present and highlight the latest developments on large scale multiple evidence learning for multimedia analysis. Papers addressing interesting real-world applications are especially encouraged. Topics of interest include, but are not limited to,
* Location extraction, description, and modeling in social multimedia
* Context and content fusion in location based social multimedia tagging
* Location aware pervasive multimedia computing and communication
* Cross-media data mining for social media retrieval
* Mobile visual search with rich location context
* Geographical tagging and mining of social media
* Location based services and user behavior mining
* Location search and recognition oriented data collection and benchmarking
* Scene summarizing, landmark recognition and mining
* 3D scene modeling and virtual city navigation
* Tourism recommendation from geo-tagged multimedia on the web
Submissions should follow the guidelines set out by IEEE MultiMedia at:
http://www.computer.org/portal/web/peerreviewmagazines/multimedia
Important Dates:
Paper Submission: August 15, 2013
First Notification: September 30, 2013
Revised Manuscript: November 15, 2013
Notification of Acceptance: December 25, 2013
Final Manuscript Due: January 15, 2014
Publication Date: July, 2014
Guest Editors:
Rongrong Ji, Columbia University, USA, rrji@ee.columbia.edu
Yi Yang, University of Queensland, Australia, yi.yang@uq.edu.au
Nicu Sebe, University of Trento, Italy, sebe@disi.unitn.it
Kiyoharu Aizawa, University of Tokyo, aizawa@hal.t.u-tokyo.ac.jp
Liangliang Cao, IBM Watson Research Center, liangliang.cao@us.ibm.com