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Extraction of building product image from the Web
Article first published online: 12 JAN 2004
DOI: 10.1002/int.10151
Copyright © 2004 Wiley Periodicals, Inc.
Issue
1098-111X/asset/cover.gif?v=1&s=7f7c12f2c86265974044b2b3f9936860ffc468a0 "International Journal of Intelligent Systems")
International Journal of Intelligent Systems
Special Issue: Intelligent Technologies
Volume 19, Issue 1-2, pages 65–78, January - February 2004
Additional Information
How to Cite
Nakapan, W., Halin, G., Bignon, J.-C. and Wagner, M. (2004), Extraction of building product image from the Web. Int. J. Intell. Syst., 19: 65–78. doi: 10.1002/int.10151
Publication History
- Issue published online: 12 JAN 2004
- Article first published online: 12 JAN 2004
- Abstract
- References
- Cited By
Abstract
The HYPERCAT (HYPERmedia electronic CATalog) project proposes a digital organization of the technical information relative to the building products and materials. Its application on technical information search by images is one of context-based image search engines. However, a manual construction of an image database for this application can be very costly. The image extracted from the French building product providers' Web sites can solve the problem of acquisition and indexing. The problematics of Web image extraction for this activity are how can we extract and index the pertinent images. Consequently, this question leads to twofold challenges: image extraction and image indexing. First, the extraction rules are applied to illustrate the image extraction process. Second, the image indexing process uses the image context and a thesaurus. © 2004 Wiley Periodicals, Inc.