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Enhancing Video Analysis Results using Complementary Textual Resources
Citation key 1124Nemrava2007
Author J. Nemrava and P. Buitelaar and T. Declerck and V. Svátek and J. Petrák and A. Cobet and H. Zeiner and D. Sadlier and N. O’Connor
Title of Book Proceedings of the 2nd International Conference on Semantics And digital Media Technologies (SAMT'07)
Year 2007
Month dec
Abstract In this document we deal with different sources of information complementary to audio-visual streams and propose their usage for enriching this 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 football broadcasts.
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