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Proceedings Paper

Color-WISE: a system for image similarity retrieval using color
Author(s): Ishwar K. Sethi; Ioana L. Coman; Brian Day; F. Jiang; Dongge Li; J. Segovia-Juarez; Gang Wei; Byoung-Moon You
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Paper Abstract

Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.

Paper Details

Date Published: 23 December 1997
PDF: 10 pages
Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); doi: 10.1117/12.298438
Show Author Affiliations
Ishwar K. Sethi, Wayne State Univ. (United States)
Ioana L. Coman, Wayne State Univ. (United States)
Brian Day, Wayne State Univ. (United States)
F. Jiang, Wayne State Univ. (United States)
Dongge Li, Wayne State Univ. (United States)
J. Segovia-Juarez, Wayne State Univ. (United States)
Gang Wei, Wayne State Univ. (United States)
Byoung-Moon You, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 3312:
Storage and Retrieval for Image and Video Databases VI
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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