JVCI Special Issue on Emerging Techniques for Multimedia Content Sharing,
Search and Understanding
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: June 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)
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