SPECIAL ISSUE 2010 - Special Issue on Automated Information Extraction in Media Production in Multimedia Tools and Applications

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Category SPECIAL ISSUE 2010

Deadline: December 01, 2010 | Date: December 01, 2010

Venue/Country: Call for Papers, Afghanistan

Updated: 2010-08-21 16:16:32 (GMT+9)

Call For Papers - CFP

Automated Information Extraction in Media Production in 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 acquisition

? 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 presentation

? Multimodal topic and concept detection, categorization, and genre detection

? 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 segmentation)

? 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 that substantial extensions of conference papers are considered. Submission should be made through Springer's online submission system:

http://www.springer.com/computer/information+systems+and+applications/journal/11042

Submission deadline: December 1st, 2010

Optional Test Material

A considerable amount of audiovisual material taken from some of the major European and Asian broadcasters archives is available for experimentation. 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:

http://media.ibbt.be/mammie

Guest Editors

Robbie De Sutter - VRT Medialab vrt.be>

Jean-Pierre Evain, European Broadcasting Union ebu.ch>,

Gerald Friedland, - ICSI icsi.berkeley.edu>

Alberto Messina, RAI Research & Development rai.it>

Masanori Sano, NHK Research and Development nhk.or.jp>