13 March 1996 Tools and techniques for color image retrieval
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Abstract
The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search through large amounts of visual data. Towards this goal we propose a technique by which the color content of images and videos is automatically extracted to form a class of meta-data that is easily indexed. The color indexing algorithm uses the back- projection of binary color sets to extract color regions from images. This technique provides for both the automated extraction of regions and representation of their color content. It overcomes some of the problems with color histogram techniques such as high-dimensional feature vectors, spatial localization, indexing and distance computation. We present the binary color set back-projection technique and discuss its implementation in the VisualSEEk content- based image/video retrieval system for the World Wide Web. We also evaluate the retrieval effectiveness of the color set back-projection method and compare its performance to other color image retrieval methods.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John R. Smith, Shih-Fu Chang, "Tools and techniques for color image retrieval", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234781; https://doi.org/10.1117/12.234781
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KEYWORDS
Binary data

Image retrieval

RGB color model

Image filtering

Image processing

Feature extraction

Visualization

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