Architecture for Enhancing Video Analysis Results using Complementary Resources.
Jan Nemrava, Paul Buitelaar, Thierry Declerck, Vojtěch Svátek, Josef Petrak, Andreas Cobet, Herwig Zeiner, David A. Sadlier, Noel Edward O'Connor · Arrow@dit (Dublin Institute of Technology) · 2007
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.