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Visual browsing in image collections using wavelets
Univ. de Reims-Champagne-Ardenne, France.ORCID-id: 0000-0002-9999-9197
Univ. de Bourgogne, France.
Univ. de Bourgogne, France.
2006 (engelsk)Inngår i: / [ed] F. Truchetet & O. Laligant, SPIE - International Society for Optical Engineering, 2006Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
SPIE - International Society for Optical Engineering, 2006.
Serie
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X ; 6383
Emneord [en]
Clustering, Image retrieval, Visual browsing, Attenuation, Database systems, Distributed computer systems, Fuzzy control, Problem solving, Vectors, Visual communication, Fuzzy search tree, Signature vectors, Data acquisition
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-60446DOI: 10.1117/12.687020Scopus ID: 2-s2.0-33846253121ISBN: 9780819464811 (digital)OAI: oai:DiVA.org:hj-60446DiVA, id: diva2:1759381
Konferanse
Wavelet Applications in Industrial Processing IV, 2-3 October 2006, Boston, MA, USA
Tilgjengelig fra: 2023-05-25 Laget: 2023-05-25 Sist oppdatert: 2023-05-25bibliografisk kontrollert

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Landré, Jérôme

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