Lexicon-based Browsers for Searching in News Video Archives

Authors
Publication date 2006
Book title Proceedings IEEE International Conference on Pattern Recognition (ICPR)
Event ICPR2006
Pages (from-to) 1256-1259
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
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.
Document type Conference contribution
Published at http://staff.science.uva.nl/~cgmsnoek/pub/worring-browsers-icpr2006.pdf
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