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 | |
| Added by: | [] |
| Total mark: | 0 |
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