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Wed, 18 Aug 2010 10:14:38 +0200
Messina Alberto <[log in to unmask]>
ACM SIGMM Interest List <[log in to unmask]>
Messina Alberto <[log in to unmask]>
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--- Apologies for Multiple Postings ---

***************************** Call for Papers
                                Special Issue on
               Automated Information Extraction in Media Production
                Multimedia Tools and Applications (Springer Journal)

The explosive growth of new media distribution channels in the Internet
and the resulting new production workflows based on computerized tools
offer substantial new directions for research in this area. Media is
substantially influenced by the new ways of acquiring, elaborating, and
publishing audiovisual material, as well as by bandwidth adaptive
streaming through Internet portals. Novel multimedia content analysis
methods are the key to make media production processes easier and more
cost effective, help to disseminate existing archives, and allow for new
media experiences, sometimes even for old content. This special issue
aims at presenting cutting edge research articles from researchers and
practitioners in the field of automatic information extraction related
to the media production process. We particularly encourage work on
real-life applications and on real-life material. Authors are encouraged
to submit papers on which they enlighten the features of existing or
novel tools in the key aspects of future media production based on
automated information extraction, including acquisition, editing,
publishing, archiving and repurposing of audiovisual material. Topics of
interest include, but are not limited to:

* High- and low-Level acoustic, visual, and multimodal indexing in media
* Automated repurposing of archived material on new media channels
* Automated news production
* Computational Journalism
* Efficient navigation and retrieval of multimedia streams
* Automatic speech recognition, keyword spotting, and search
* Personality identification (e.g. face or speaker identification)
* Collaborative systems for media production. broadcast, and
* Multimodal topic and concept detection, categorization, and genre
* Information Retrieval systems from Multimedia Archives
* Mechanism for the estimation of the trust of news
* Opinion mining
* Ontologies and metadata formats for radio and TV programming
* HCI for efficient annotation and retrieval
* Automated copyright infringement detection and watermarking
* Content summarization (e.g., sports highlights)
* Audiovisual genre and editorial format detection and characterisation
* Automated cross-media linking and integration
* Content segmentation tools (e.g., shot and semantic scene
* Applications of MPEG-7 and MPEG-21 standard
* Evaluation methods for TV and radio content analysis tools, including
data sets and
standard resources

*******************************  Submission
Submissions must not have been previously published, with the exception
substantial extensions of conference papers are considered. Submission
should be made through Springer's online submission system:

Submission deadline: December 1st, 2010
                            Optional Test Material

A considerable amount of audiovisual material taken from some of the
European and Asian broadcasters archives is available for
Perspective authors may test their technologies on this material, in
order to further prove the effectiveness of their research in a real
scenario. The test material for experimentation is available at the
Online Media Asset Management System "Mammie" provided by the organizers
of this special issue. Download is conditioned to terms and conditions
for the use of the material. You can find the full text on the register
page of the Mammie system: 


**************************** Guest Editors

Robbie De Sutter - VRT Medialab <[log in to unmask]>
Jean-Pierre Evain, European Broadcasting Union <[log in to unmask]>,
Gerald Friedland, - ICSI <[log in to unmask]>
Alberto Messina, RAI Research & Development <[log in to unmask]>
Masanori Sano, NHK Research and Development <[log in to unmask]> 

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