Interactive image retrieval using fuzzy sets

Abstract We present an image retrieval system which permits the user to submit a coarse initial query and continuously refine it. The user's relevance feedbacks is modeled by fuzzy sets, and is used to discover and use the more discriminatory features for the given query. The proposed system uses a dissimilarity measure based on the fuzzy integral.

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