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Proceedings Paper

Image retrieval using texture features BDIP and BVLC
Author(s): Sang Yong Seo; Young Deok Chun; Dae Sung Kim; Nam Chul Kim
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Paper Abstract

In this paper, we first propose new texture features, BDIP (block difference of inverse probabilities) and BVLC (block variation of local correlation coefficients), for content-based image retrieval (CBIR) and then present an image retrieval method based on the combination of BDIP and BVLC moments. BDIP uses the local probabilities in image blocks to measure the variation of brightness well. BVLC uses the variations of local correlation coefficients in images blocks to measure texture smoothness well. Experimental results show that the presented retrieval method yields about 12% better performance than the method using only BDIP or BVLC moments and about 10% better performance than the method using wavelet moments.

Paper Details

Date Published: 19 December 2001
PDF: 10 pages
Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451116
Show Author Affiliations
Sang Yong Seo, Korea Telecom (South Korea)
Young Deok Chun, Kyungpook National Univ. (South Korea)
Dae Sung Kim, Kyungpook National Univ. (South Korea)
Nam Chul Kim, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 4676:
Storage and Retrieval for Media Databases 2002
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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