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2002

MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback

8 years 6 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the problem of finding a desired image or video clip in a huge archive without resorting to metadata. This paper describes the ongoing development of a CBVIR system for image search and retrieval with relevance feedback capabilities. It supports browsing, queryby-example, and two different relevance feedback modes that allow users to refine their queries by indicating which images are good or bad at each iteration.
Oge Marques, Borko Furht
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where MTA
Authors Oge Marques, Borko Furht
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