Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40839
Title: Perceptual consistency improves image retrieval performance
Authors: Long, H.
Leow, W.K. 
Issue Date: 2001
Source: 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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