Image retrieval system

Image analysis – Histogram processing – With pattern recognition or classification

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882305, 707 6, G06K 900

Patent

active

061636223

ABSTRACT:
In an image retrieval system, a database with a large number of images is searched to find one or more images meeting the specification of a user. This specification is given in the form of a query image. The system determines the similarity between the query image and a particular image from the database by comparing the color histograms of the two images. The histograms are treated as statistical distributions and the similarity is determined on the basis of an information theoretic measure of the distributions. In a first embodiment, the similarity is determined using the Kullback informational divergence of the two histograms. In a second embodiment, the similarity is based on the entropy of the distribution of similarity coefficients of the two histograms is used.

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"Tools and Techniques for Color Image Retrieval", John R. Smith and Shih Fu Chang, Proc. SPIE--Int. Soc. Opt. Eng (USA), vol. 2670, pp. 426-437.
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Jau-Yuen Chen et al.; "Multiscale Branch and Bound Image Database Search", In: Proceedings of the SPIE, San Jose, CA, Feb. 1997, vol. 3022, ISBN 0-8194-2433-1, pp. 133-134.

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