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Proceedings Paper

Image retrieval by using subpiece accumulative histogram
Author(s): Liangpei Zhang; Xianwen Ke; Hong Shu
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Paper Abstract

In the algorithms of content-based image retrieval, color has been used widely as the most important visual character. Three key factors for the image retrieval when using color characters are: color expression, color abstraction, and color similarity treasure. In this paper, authors develop a sub-block method based on the color characters to retrieve images. It is found that the image retrieval accuracy of the sub-block histogram method is superior to that of the conventional single global histogram method, but its image retrieval speed is slightly slower than that of the single global histogram method.

Paper Details

Date Published: 26 September 2001
PDF: 5 pages
Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442895
Show Author Affiliations
Liangpei Zhang, Wuhan Univ. (China)
Xianwen Ke, Wuhan Univ. (China)
Hong Shu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4551:
Image Compression and Encryption Technologies
Jun Tian; Tieniu Tan; Liangpei Zhang, Editor(s)

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