Paper
23 December 1997 Color-WISE: a system for image similarity retrieval using color
Ishwar K. Sethi, Ioana L. Coman, Brian Day, F. Jiang, Dongge Li, J. Segovia-Juarez, Gang Wei, Byoung-Moon You
Author Affiliations +
Proceedings Volume 3312, Storage and Retrieval for Image and Video Databases VI; (1997) https://doi.org/10.1117/12.298438
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ishwar K. Sethi, Ioana L. Coman, Brian Day, F. Jiang, Dongge Li, J. Segovia-Juarez, Gang Wei, and Byoung-Moon You "Color-WISE: a system for image similarity retrieval using color", Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); https://doi.org/10.1117/12.298438
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CITATIONS
Cited by 49 scholarly publications and 3 patents.
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KEYWORDS
Image retrieval

Visualization

Databases

Information visualization

Image processing

Document management

Feature extraction

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