[Imageworld] CFP: IEEE Multimedia Magazine Special Issue on
"Knowledge Discovery Over Community-Contributed Multimedia
Data: Opportunities and Challenges"
winston at csie.ntu.edu.tw
Sun Nov 22 11:45:05 CET 2009
Apologies if you receive multiple copies.
CALL FOR PAPERS
IEEE Multimedia Magazine
Special Issue on
"Knowledge Discovery Over Community-Contributed Multimedia Data:
Opportunities and Challenges"
**15 December 2009: Full submission due.**
The explosive growth of digital photos and videos; the prevalence of
capture devices; and the advent of media-sharing services, such as
Flickr and YouTube, have drastically increased the volume of
community-contributed multimedia resources. Billions of photos,
videos, and music shared on Web sites profoundly impact human society
and pose a new challenge for designing efficient indexing, search,
mining, and visualization methods for manipulating such largescale
media. Besides plain visual or audio signals, social media are
augmented with rich context—such as user-provided tags, comments,
geolocations, time, and device metadata—benefiting a wide variety of
potential applications such as annotation, search, recommendation,
advertising, and visualization.
The goal of this special issue is to present a concise reference of
state-ofthe-art efforts in knowledge discovery over large-scale social
media, and in particular the entailed opportunities and challenges
given the nascent status of this arena. Specifically, the special
issue is intended to present both survey and original research
articles (in a tutorial manner readable by nonspecialists) on emerging
theoretical and practical deployments as well as illustrative
applications for annotation, indexing and search, mining,
recommendation, advertising, and visualization over social media. It
also focuses on the rich context information and its mobile usage for
social media. We believe the special issue will offer a timely
collection of information to benefit the researchers and practitioners
working in the broad multimedia community.
Topics of interest include, but are not limited to
* social media annotation and tagging,
* large-scale social media search,
* event detection and summarization in social media,
* visualization of social media (for example, event summarization and
3D scene navigation),
* personalized media recommendation,
* contextual media advertising,
* modeling and mining context in social media,
* context-aware mobile multimedia applications,
* social media as training data for classification/detection learning,
* benchmark data for large-scale social media applications,
* distributed/parallel algorithms and platforms for large-scale social
media computation, and
* novel and challenging applications of social media.
Submission Procedures and Guidelines:
Submit your paper at https://mc.manuscriptcentral.com/cs-ieee. When
uploading your paper, please select the appropriate special issue
title under the category "Manuscript Type." If you have any questions
regarding the submission system, please contact Kristen Jarboe at
mm-ma at computer.org. All submissions will undergo a peer review by at
least two expert reviewers to ensure a high standard of quality.
Referees will consider originality, significance, technical soundness,
clarity of exposition, and relevance to the special issue topics.
Papers must stay within the following limits: 6,500 words maximum, 12
total combined figures and tables with each figure counting as 200
words toward the total word count, and 18 references.
For more instructions, please see the Author Resources page at
* 15 December 2009: Full submission due.
* 1 March 2010: Notification of acceptance.
* 5 May 2010: Revisions due.
* 15 June 2010: Final versions due.
* Tao Mei, Microsoft Research Asia (tmei at microsoft.com)
* Winston H. Hsu, National Taiwan University (winston at csie.ntu.edu.tw)
* Jiebo Luo, Kodak Researc Laboratories (jiebo.luo at kodak.com)
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