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

Authors :
H. Y. Hwang
Hee-Yong Kwon
Source :
Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents ISBN: 9783540414506, IDEAL
Publication Year :
2000
Publisher :
Springer Berlin Heidelberg, 2000.

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.

Details

ISBN :
978-3-540-41450-6
ISBNs :
9783540414506
Database :
OpenAIRE
Journal :
Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents ISBN: 9783540414506, IDEAL
Accession number :
edsair.doi...........2e126892c3434f73d4a8932ada70f898
Full Text :
https://doi.org/10.1007/3-540-44491-2_70