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Visual browsing in ...
Visual browsing in image collections using wavelets
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- Landré, Jérôme (author)
- Univ. de Reims-Champagne-Ardenne, France
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- Truchetet, Frédéric (author)
- Univ. de Bourgogne, France
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- Laligant, Olivier (author)
- Univ. de Bourgogne, France
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Univ de Reims-Champagne-Ardenne, France Univ. de Bourgogne, France (creator_code:org_t)
- SPIE - International Society for Optical Engineering, 2006
- 2006
- English.
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Series: Proceedings of SPIE - The International Society for Optical Engineering, 0277-786X ; 6383
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- 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
Publication and Content Type
- ref (subject category)
- kon (subject category)
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