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                                        Call For Papers
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                        Journal of Visual Communication and Image Representation (JVCI)
                Special Issue on Emerging Techniques for Multimedia Content Sharing, Search and Understanding
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Advances in modern multimedia technologies have led to huge and
ever-growing archives of images, audio and video in diverse
application areas such as entertainment and education. Moreover, due
to the decreasing cost of storage devices, improved compression
techniques, and growing communication infrastructure, multimedia data
have also become widely available around the world. For instance, the
advent of media-sharing sites like Flickr and YouTube has brought huge
amount of multimedia resources to the web which could be accessed by
anyone. Such explosion of multimedia data has motivated active
researches in various areas with the ultimate goal of making
unstructured multimedia data accessible, reusable, searchable, and
manageable. In fact, to encourage original research and nurture
different ideas in the automatic segmentation, indexing and
content-based retrieval of digital videos, NIST has been sponsoring a
special video track called TRECVID to evaluate and compare different
techniques with standardized datasets, benchmarked concepts and
queries. On the other hand, the large amount of multimedia data on the
web and the latest development of semantic web have motivated new
research fronts in the area of semantic web service, social
intelligence, and web-based content sharing and search.

The goal of this special issue is to have a forum on cutting-edge
research work in this emerging field. Specifically, it will explore
new research topics with the abundant, community-contributed
multimedia data and the emergence of semantic web, elaborate on the
techniques that facilitate search and discovery of web-based
multimedia content, provide latest progress on video ontology,
annotation and semantic content understanding, and offer vision and
insights from leading experts and practitioners on how to make
sharing, finding and using multimedia data as a part of our daily life
with great ease and flexibility.

Scope:

The scope of this special issue is to cover all aspects that relate to
the sharing, search and understanding of multimedia content. Topics of
interest include, but are not limited to:
·        Semantic web services for multimedia content on web
·        Web-based image and video search
·        Semantic web search
·        Social network analysis
·        Large-scale video concept detection and construction
·        Collaborative video annotation
·        Semantic annotation of multimedia content
·        Visual concept ontology design and analysis
·        Concept-based video indexing and retrieval
·        Personal media management
·        Multimedia advertising
·        Content sharing and management with community-contributed multimedia collections
·        Ontology learning from folksonomies
·        Multimedia databases
·        Multimedia data mining
·        Secure multimedia data management
·        Network support for multimedia data


Information for Authors:

Authors should prepare their manuscript according to the Guide for
Authors available from the online submission page of the 'Journal of
Visual Communication and Image Representation' at
http://ees.elsevier.com/jvci/. When submitting via this page, please
select “EmergingTechniquesForMultimedia” as the Article
Type. Prospective authors should submit high quality, original
manuscripts that have not appeared, nor are under consideration, in
any other journals. All submissions will be peer reviewed following
the JVCI reviewing procedures.


Important Dates:

Manuscript Submission Deadline:                        May 1, 2008
Notification of Acceptance/Rejection:                September 1, 2008
Final Manuscript Due to JVCI:                                October 1, 2008
Expected Publication Date:                                December, 2008


Guest Editors:

Ying Li, IBM T. J. Watson Research Center, USA (yingli@us.ibm.com)
Mei-Ling Shyu, Department of Electrical and Computer Engineering, University of Miami, USA (shyu@miami.edu)
Alan Hanjalic, Department of Mediamatics, Delft University of Technology, The Netherlands (A.Hanjalic@tudelft.nl )
Lei Zhang, Microsoft Research Asia, China (leizhang@microsoft.com)