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SAMT
2007
Springer

An Architecture for Mining Resources Complementary to Audio-Visual Streams

8 years 9 months ago
An Architecture for Mining Resources Complementary to Audio-Visual Streams
Abstract. 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.
Jan Nemrava, Paul Buitelaar, Thierry Declerck, Voj
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SAMT
Authors Jan Nemrava, Paul Buitelaar, Thierry Declerck, Vojtech Svátek, Josef Petrak, Andreas Cobet, Herwig Zeiner, David A. Sadlier, Noel E. O'Connor, Nikos Simou, Vassilis Tzouvaras
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