MediaMill: Advanced Browsing in News Video Archives

Authors
Publication date 2006
Host editors
  • H. Sundaram
  • M. Naphade
  • J.R. Smith
  • Y. Rui
Book title Image and Video Retrieval
Book subtitle 5th Internatinoal Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006 : proceedings
ISBN
  • 9783540360186
ISBN (electronic)
  • 9783540360193
Series Lecture Notes in Computer Science
Event CIVR 2006, Tempe, Arizona
Pages (from-to) 533-536
Publisher Berlin: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract In this paper we present our 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. It extends upon [1] with improved browsing tools. The search system is evaluated within the TRECVID benchmark [2]. 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
Language English
Published at
https://doi.org/10.1007/11788034_62 (Final published version)
Published at
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