A Content-Based Image Retrieval Method Using Third-Order Color Feature Relations

Authors:
H. Y. Kwon;H. Y. Hwang
Affiliations:
-;-
Venue:
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Year:
2000

Citing 4
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Color indexing

International Journal of Computer Vision
Combining supervised learning with color correlograms for content-based image retrieval

MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Content-Based Image Retrieval Systems

Computer
Query by Image and Video Content: The QBIC System

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Abstract

Each content-based image retrieval (CBIR) method using color features includes its limitations to be applied to its own application areas. We analyze that the limitations are mostly due to the adoption of first-order or second-order relations among color features from a given image as its index. In this paper, we propose a new CBIR method based on a third-order color feature relations. This new method shows robustness in retrieving geometrically transformed images and can be applied in various areas.