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Proceedings Paper

Visual browsing in image collections using wavelets
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Paper Abstract

Visual browsing is an important way of searching for images in large databases. In image retrieval, a lot of problems have to be solved to get a good system: dimensionality curse, users' search context, size of the database, visual features. In this article, a method trying to attenuate these problems is proposed. Each features vector is organized into four signature vectors used in the classification process while building a fuzzy search tree that is proposed to users for visual browsing. Our system gives good results in terms of speed and accuracy by solving several problems of classical image retrieval methods.

Paper Details

Date Published: 12 October 2006
PDF: 10 pages
Proc. SPIE 6383, Wavelet Applications in Industrial Processing IV, 63830O (12 October 2006); doi: 10.1117/12.687020
Show Author Affiliations
Jérôme Landré, Univ. de Reims-Champagne-Ardenne (France)
Frédéric Truchetet, Univ. de Bourgogne (France)
Olivier Laligant, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 6383:
Wavelet Applications in Industrial Processing IV
Frédéric Truchetet; Olivier Laligant, Editor(s)

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