On “shapes” of colors for content-based image retrieval

Authors:
Renato O. Stehling;Mario A. Nascimento;Alexandre X. Falcão
Affiliations:
Institute of Computing, State Univ. of Campinas, Brazil;Dept. of Computing Science, Univ. of Alberta, Canada;Institute of Computing, State Univ. of Campinas, Brazil
Venue:
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Year:
2000

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Abstract

Color is a commonly used feature for realizing content-based image retrieval (CBIR). Towards this goal, this paper presents a new approach for CBIR which is based on well known and widely used color histograms. Contrasting to previous approaches, such as using a single color histogram for the whole image, or local color histograms for a fixed number of image cells, the one we propose (named Color Shape) uses a variable number of histograms, depending only on the actual number of colors present in the image. Our experiments using a large set of heterogeneous images and pre-defined query/answer sets show that the Color Shape approach offers good retrieval quality with relatively low space overhead, outperforming previous approaches.