Color distribution analysis and quantization for image retrieval

Xia Wan; C.-C. Jay Kuo

doi:10.1117/12.234782

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13 March 1996 Color distribution analysis and quantization for image retrieval

Xia Wan, C.-C. Jay Kuo

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Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234782
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Color space selection and quantization are critical to content-based image retrieval based on color histograms. In this work, we first examine the color distribution in different color spaces including RGB, HSV, YUV and Munsell spaces and discuss the appropriate quantization strategies in these color spaces based on the distribution of colors. Then, we propose a color quantization scheme which applies the Lloyd-Max quantizer along each axis independently. The proposed scheme is simple yet efficient. Retrieval using the proposed quantization scheme on different color spaces are compared through experiments.

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Xia Wan and C.-C. Jay Kuo "Color distribution analysis and quantization for image retrieval", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234782

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