Similarity-based retrieval of images using color histograms

Keshi Chen; Stephen G. Demko; Ruifeng Xie

doi:10.1117/12.333885

17 December 1998 Similarity-based retrieval of images using color histograms

Keshi Chen, Stephen G. Demko, Ruifeng Xie

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333885
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

The color histogram of an image has been widely used as a feature descriptor for the image in content-based retrieval applications. In this paper, we report some results from our investigation efforts into its usage. We outline three typical color space quantization schemes used in our experiments, and introduce the soft-decision histogramming method to eliminate the discontinuity problem in traditional color histogram population process. Then, to improve the effectiveness of color histogram-based retrieval algorithms, several similarity metrics are proposed for comparing color histograms, including three special forms of the Kantorovich metric.

Citation Download Citation

Keshi Chen, Stephen G. Demko, and Ruifeng Xie "Similarity-based retrieval of images using color histograms", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333885

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