Lexicon-Based Browsers for Searching in News Video Archives

Publication Teaser Lexicon-Based Browsers for Searching in News Video Archives
M. Worring, C. G. M. Snoek, O. de Rooij, G. P. Nguyen, D. C. Koelma
In International Conference on Pattern Recognition 2006.
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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.



Bibtex Entry
@InProceedings{WorringICPR2006,
  author       = "Worring, M. and Snoek, C. G. M. and de Rooij, O. and Nguyen, G. P.
                  and Koelma, D. C.",
  title        = "Lexicon-Based Browsers for Searching in News Video Archives",
  booktitle    = "International Conference on Pattern Recognition",
  pages        = "1256--1259",
  year         = "2006",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2006/WorringICPR2006",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2006/WorringICPR2006/WorringICPR2006.pdf",
  has_image    = 1
}
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