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Proceedings Paper

Image content retrieval from image databases using feature integration by Choquet integral
Author(s): Mihail Popescu; Paul D. Gader
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Paper Abstract

A novel similarity measure based on the Choquet integral was introduced for retrieving images that 'mostly' fit the query image, from an image database. We show that in certain conditions, the measure is a norm, a fact that can be used to reduce the searching time, using the triangle inequality. To test the new measure, a content-based image retrieval system was built. The system was benchmarked against the visual retrieval cartridge, Virage, built into Oracle 8 database system. The results suggested that the new measure is useful for image retrieval.

Paper Details

Date Published: 17 December 1998
PDF: 9 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333875
Show Author Affiliations
Mihail Popescu, Univ. of Missouri/Columbia (United States)
Paul D. Gader, Univ. of Missouri/Columbia (United States)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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