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|Title:||Perceptual consistency improves image retrieval performance||Authors:||Long, H.
|Issue Date:||2001||Citation:||Long, H.,Leow, W.K. (2001). Perceptual consistency improves image retrieval performance. SIGIR Forum (ACM Special Interest Group on Information Retrieval) : 434-435. ScholarBank@NUS Repository.||Abstract:||An ideal retrieval system should retrieve images that satisfy the user's need, and should, therefore, measure image similarity in a manner consistent with human's perception. However, existing computational similarity measures are not perceptually consistent. This paper proposes an approach of improving retrieval performance by improving the perceptual consistency of computational similarity measures for textures based on relevance feedback judgments.||Source Title:||SIGIR Forum (ACM Special Interest Group on Information Retrieval)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40839||ISSN:||01635840|
|Appears in Collections:||Staff Publications|
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