Title :
Lexicon-based Browsers for Searching in News Video Archives
Author :
Worring, M. ; Snoek, C.G.M. ; Koelma, D.C. ; Nguyen, G.P. ; de Rooij, O.
Author_Institution :
Intelligent Syst. Lab. Amsterdam, Amsterdam Univ.
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
Keywords :
indexing; search engines; video databases; video retrieval; MediaMill video search engine; TRECVID benchmark; lexicon-based browsers; news video archives; semantic indexing; Automatic speech recognition; Data visualization; Filters; Indexing; Information retrieval; Intelligent systems; NIST; Navigation; Search engines; Yarn;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.760
