University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Shape-based image retrieval for JPEG-2000 compressed image databases

Jiang, J, Guo, BF and Ipson, S (2006) Shape-based image retrieval for JPEG-2000 compressed image databases Multimedia Tools and Applications, 29 (2). pp. 93-108.

Full text not available from this repository.

Abstract

As JPEG-2000 is primarily based on wavelet transforms, we propose a moment-based algorithm to extract shape features out of wavelet coefficients to facilitate image retrieval from compressed image databases. Motivated by the observation that isolated significant points in the wavelet coefficients domain cannot accurately represent the shapes of regions, a range of ideas are investigated in this paper to construct shape descriptors in the wavelet domain using several morphological operators. Based on the fact that certain moments are invariant to rotation, a more compact and effective moment representation method is also proposed to integrate shape information in various directional wavelet sub-bands. Extensive experiments have been carried out using JPEG-2000 compressed image databases, and the results show that the proposed algorithm outperforms a representative existing shape-based image retrieval method in the wavelet domain.

Item Type: Article
Authors :
NameEmailORCID
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Guo, BFUNSPECIFIEDUNSPECIFIED
Ipson, SUNSPECIFIEDUNSPECIFIED
Date : 1 June 2006
Identification Number : 10.1007/s11042-006-0001-y
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835221

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800