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Lexicon-based Browsers for Searching in News Video Archives
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.76018th International Conference on Patt ...
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M. Worring, University of Amsterdam, The Netherlands
C.G.M. Snoek, University of Amsterdam, The Netherlands
D.C. Koelma, University of Amsterdam, The Netherlands
G.P. Nguyen, University of Amsterdam, The Netherlands
O. de Rooij, University of Amsterdam, The Netherlands
In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon of 101 concepts. To support the user in navigating the collection, the system defines a visual similarity space, a semantic similarity space, a semantic thread space, and browsers to explore them. The search system is evaluated within the TRECVID benchmark. We obtain a top-3 result for 19 out of 24 search topics. In addition, we obtain the highest mean average precision of all search participants.
Citation:
M. Worring, C.G.M. Snoek, D.C. Koelma, G.P. Nguyen, O. de Rooij, "Lexicon-based Browsers for Searching in News Video Archives," icpr, vol. 1, pp.1256-1259, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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