Paper
17 December 1998 Similarity-based retrieval of images using color histograms
Keshi Chen, Stephen G. Demko, Ruifeng Xie
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Quantization

Image retrieval

Databases

RGB color model

Image processing

Image compression

Visualization

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