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Proceedings Paper

Octree color indexing approach to image retrieval
Author(s): Xia Wan; C.-C. Jay Kuo
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Paper Abstract

Low-level features such as the color, texture and shape of objects have been widely studied for similarity search in image indexing and retrieval. A new color indexing scheme based on the octree quantization scheme is proposed in this research to achieve efficient multi-resolution image retrieval. The new color feature not only integrates commonly used color features such as the color histogram and dominant color, but also support a selective filtering strategy to speed up the retrieval process. It can also be further combined with other visual features to facilitate similarity searching. Extensive experiments are performed to illustrate the performance of the proposed approach.

Paper Details

Date Published: 30 October 1997
PDF: 12 pages
Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.292752
Show Author Affiliations
Xia Wan, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 3164:
Applications of Digital Image Processing XX
Andrew G. Tescher, Editor(s)

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