Intelligent broadcasting system and services for personalized semantic contents consumption

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Currently, digital broadcasting tends to personalize the TV watching environment by offering services that can adapt to viewer preferences. In this paper, an intelligent broadcasting system for enhanced personalized-services, based on the semantics of broadcasting contents, is proposed. To implement the system, the MPEG-7 and TV-Anytime Forum (TVAF), as well as agent technology, are employed. For content-level services, real-time content filtering, personalized video skimming, and content-based retrieval using audio characteristic are implemented. To verify the usefulness of the proposed system, we demonstrate it with a test-bed on which content-level personalized services are implemented(1). (c) 2005 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2006-07
Language
ENG
Article Type
Article
Citation

EXPERT SYSTEMS WITH APPLICATIONS, v.31, no.1, pp.164 - 173

ISSN
0957-4174
DOI
10.1016/j.eswa.2005.09.021
URI
http://hdl.handle.net/10203/20644
Appears in Collection
EE-Journal Papers(저널논문)
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