Paper
8 June 2001 Image query based on color harmony
Alexandru Vasile, Walter R. Bender
Author Affiliations +
Proceedings Volume 4299, Human Vision and Electronic Imaging VI; (2001) https://doi.org/10.1117/12.429522
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
The combination of the increased size of digital image databases and the increased frequency with which non- specialist access these databases is raising the question of the efficacy of visual search and retrieval tools. We hypothesize that the use of color harmony has the potential for improving image-search efficiency. We describe an image- retrieval algorithm that relies on a color harmony model. This mode, built on Munsell hue, value, and chroma contrast, is used to divide the image database into clusters that can be individually searched. To test the efficacy of the algorithm, it is compared to existing algorithms developed by Niblack et al and Feldman et al. A second study that utilizes the image query system in a retail application is also described.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexandru Vasile and Walter R. Bender "Image query based on color harmony", Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); https://doi.org/10.1117/12.429522
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

RGB color model

Algorithm development

Image retrieval

Visualization

Digital imaging

Photography

RELATED CONTENT

Database architecture for content-based image retrieval
Proceedings of SPIE (April 01 1992)
Robust retrieval of fine art paintings
Proceedings of SPIE (October 09 2003)
Color correction between gray world and white patch
Proceedings of SPIE (May 30 2002)
2+2=5: painting by numbers
Proceedings of SPIE (January 16 2006)
Inverted image indexing and compression
Proceedings of SPIE (October 06 1997)

Back to Top