Perceptual image retrieval

Authors:
Noureddine Abbadeni
Affiliations:
Dept. of Computer Science, University of Sherbrooke, Sherbrooke QC, Canada
Venue:
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Year:
2005

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Abstract

This paper addresses the problem of texture retrieval by using a perceptual approach based on multiple viewpoints. We use a set of features that have a perceptual meaning corresponding to human visual perception. These features are estimated using a set of computational features that can be based on two viewpoints: the original images viewpoint and the autocovariance function viewpoint. The set of computational measures is applied to content-based image retrieval (CBIR) on a large image data set, the well-known Brodatz database, and is shown to give better results compared to related approaches. Furthermore, results fusion returned by each of the two viewpoints allows significant improvement in search effectiveness.