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Content-based query of image databases: inspirations from text retrieval
Type of publication: Article
Citation: SMM2000
Journal: Pattern Recognition Letters (Selected Papers from The 11th Scandinavian Conference on Image Analysis SCIA '99)
Volume: 21
Number: 13-14
Year: 2000
Pages: 1193-1198
Note: {B.K.} Ersboll, P. Johansen, Eds.
Abstract: This paper reports the application of techniques inspired by text retrieval research to content-based image retrieval. In particular, we show how the use of an inverted file data structure permits the use of an extremely high-dimensional feature-space, by restricting search to the subspace spanned by the features present in the query. A suitably sparse set of colour and texture features is proposed. A weighting scheme based on feature frequencies is used to combine disparate features in a compatible manner, and naturally extends to incorporate relevance feedback queries. The use of relevance feedback is shown consistently to improve system performance.
Userfields: vgclass={refpap}, vgproject={viper},
Keywords:
Authors Squire, David McG.
Müller, Wolfgang
Müller, Henning
Pun, Thierry
Added by: []
Total mark: 0
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  • SMM2000.pdf
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