CFP: IEEE Multimedia Special Issue on Large-Scale Multimedia Data Collections

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CALL FOR JOURNAL PAPERS (http://vls-mcmr10.eurecom.fr/mu.cfp.v19n3.pdf)

IEEE MULTIMEDIA (Special Issue)
Large-Scale Multimedia Data Collections

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Submission Deadline: 1 October 2011
Publication Issue: July-September 2012


Pivotal to many tasks in relation to multimedia research and development is
the availability of a sufficiently large data set and its corresponding
ground truth. Currently, most available data sets for multimedia research
are either too small, such as the Corel or Pascal data sets; too specific,
such as the Text Retrieval Conference Video (Trecvid) data set; or without
ground truth, such as the recent efforts by the Massachusetts Institute of
Technology and Microsoft Research Asia that gathered millions of Web images
for testing. While it's relatively easy to crawl and store a huge amount of
data, the creation of ground truth necessary to systematically train, test,
evaluate, and compare the performance of various algorithms and systems is a
major problem. For this reason, more and more research groups are
individually putting efforts into the creation of such corpus to carry out
research on large-scale data sets. There is a need to unify these individual
efforts into the creation of a unified Web-scale repository that would
benefit the entire multimedia research community.

The purpose of this special issue is to present and report on the
construction and analysis of large-scale multimedia data sets and resources,
and to provide a strong reference for multimedia researchers interested in
large-scale multimedia data sets. The issue will specifically address the
construction of data sets; the creation of ground truths; the sharing and
extending of such resources in terms results and analysis related to ground
truth, features, algorithms, and tools.

The IEEE MultiMedia special issue on large-scale multimedia data collections
solicits original papers that will be of interest for IEEE MultiMedia
readers. The list of possible topics includes, but is not limited to:

- Construction, unification, and evolution of corpus: the state of use, the
lessons learned, and their impact, scalability of results, and range of
applications.
- Framework for sharing of data sets, ground truths, features, algorithms,
and tools, as well as comparison and analysis of results.
- Large-scale corpus analysis techniques: knowledge mining from large-scale
multimedia corpus, optimization techniques on large-scale multimedia data
for efficiency, and techniques for large-scale, content-based multimedia
retrieval.
- Performance evaluation methodologies and standards.

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Questions?

For more information, please contact the Guest Editors:

Benoit Huet, EURECOM
Alexander Hauptmann, Carnegie Mellon University 
Tat-Seng Chua, National University of Singapore

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Submission Procedures

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 Andy Morton at mm-ma@computer.org. All
submissions will undergo a blind 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. All submissions must contain
original, previously unpublished research or engineering work. 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.

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Deadlines

To submit a paper to the July-September 2012 special issue, please observe
the following deadlines:

1 October 2011: Full paper must be submitted using our online manuscript
submission service and prepared according to the instructions for authors
(please see the Author Resources page at
http://www.computer.org/multimedia/author.htm).
15 January 2012: Authors notified of acceptance, rejection, or needed
revisions.
5 April 2012: Final versions due.

Online Printable Version:
http://vls-mcmr10.eurecom.fr/mu.cfp.v19n3.pdf
http://www.computer.org/portal/web/computingnow/mmcfp3

Received on Tuesday, 28 June 2011 13:40:24 UTC