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10

ECIR
2006
Springer

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Supporting Relevance Feedback in Video Search

13 years 5 months ago

Supporting Relevance Feedback in Video Search

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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

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ECIR 2006 | Information Technology | Optimal Numbers | Video Search Engines | WWW Video Search |

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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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