Visual browsing in image collections using wavelets

Jérôme Landré; Frédéric Truchetet; Olivier Laligant

doi:10.1117/12.687020

12 October 2006 Visual browsing in image collections using wavelets

Jérôme Landré, Frédéric Truchetet, Olivier Laligant

Proceedings Volume 6383, Wavelet Applications in Industrial Processing IV; 63830O (2006) https://doi.org/10.1117/12.687020
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

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.

Citation Download Citation

Jérôme Landré, Frédéric Truchetet, and Olivier Laligant "Visual browsing in image collections using wavelets", Proc. SPIE 6383, Wavelet Applications in Industrial Processing IV, 63830O (12 October 2006); https://doi.org/10.1117/12.687020

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