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ECIR
2006
Springer

Supporting Relevance Feedback in Video Search

9 years 2 months ago
Supporting Relevance Feedback in Video Search
Abstract. 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.
Cathal Gurrin, Dag Johansen, Alan F. Smeaton
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where ECIR
Authors Cathal Gurrin, Dag Johansen, Alan F. Smeaton
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