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Architecture for enhancing video analysis results using complementary resources
Nemrava, Jan; Buitelaar, Paul; Declerck, Thierry; Svátek, Vojtech; Petrák, Josef; Cobet, Andreas; Zeiner, Herwig; Sadlier, David A.; O'Connor, Noel E.
In this paper we present different sources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video analysis and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video. We introduce an architecture for complementary resources analysis and discuss domain dependency aspects of this approach connected to our initial domain of soccer broadcasts.
Keyword(s): Information storage and retrieval systems; Digital video; Multimedia databases; Text processing
Publication Date:
2007
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Nemrava, Jan, Buitelaar, Paul, Declerck, Thierry, Svátek, Vojtech, Petrák, Josef, Cobet, Andreas, Zeiner, Herwig, Sadlier, David A. and O'Connor, Noel E. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (2007) Architecture for enhancing video analysis results using complementary resources. In: SAMT 2007 - 2nd International Conference on Semantic and Digital Media Technologies, December 5-7, 2007, Genoa, Italy.
Publisher(s): CEUR-Workshop Proceedings
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/306/1/samt_2007.pdf,
http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-300/
First Indexed: 2009-11-05 02:00:31 Last Updated: 2019-02-09 06:25:55