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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Supporting Relevance Feedback in Video Search
verfasst von : Cathal Gurrin, Dag Johansen, Alan F. Smeaton
Erschienen in: Advances in Information Retrieval
Verlag: Springer Berlin Heidelberg
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WWW Video Search Engines have become increasingly commonplace within the last few years and at the same time video retrieval research has been receiving more attention with the annual TRECVid series of workshops. In this paper we evaluate methods of relevance feedback for video search engines operating over TV news data. We show for both video shots and TV news stories, that an optimal number of terms can be identified to compose a new query for feedback and that in most cases; the number of documents employed for feedback does not have a great effect on these optimal numbers of terms.