Institutions | About Us | Help | Gaeilge
rian logo

Go Back
An architecture for mining resources complementary to audio-visual streams
Nemrava, Jan; Buitelaar, Paul; Declerck, Thierry; Svátek, Vojtech; Petrák, Josef; Cobet, Andreas; Zeiner, Herwig; Sadlier, David A.; O'Connor, Noel E.; Simou, Nikos; Tzouvaras, Vassilis
In this paper we attempt to characterize resources 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 detectors 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 resource analysis and discuss domain dependency aspects of this approach related to our domain of soccer broadcasts.
Keyword(s): Digital video; Information retrieval
Publication Date:
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., O'Connor, Noel E. ORCID: 0000-0003-1028-8389 <>, Simou, Nikos and Tzouvaras, Vassilis (2007) An architecture for mining resources complementary to audio-visual streams. In: KAMC 2007 - Knowledge Acquisition from Multimedia Content Workshop, 5 December 2007, Genova, Italy.
Publisher(s): CEUR-Workshop Proceedings
File Format(s): application/pdf
Related Link(s):,
First Indexed: 2009-11-05 02:00:38 Last Updated: 2019-02-09 07:03:53