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MIR
2004
ACM

Image recognition for digital libraries

10 years 8 months ago
Image recognition for digital libraries
The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents in digital libraries, we propose to design classifiers able to annotate images with keywords. First, we propose an image representation appropriate for scene description. Images are segmented into regions, and then indexed according to the presence of given region types. Second, we propound a classification scheme designed to separate images in the descriptor space. This is achieved by combining feature selection and kernel-method-based classification. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval; H.3.7 [Information Storage and Retrieval]: Digital Libraries Keywords Scene analysis, image segmentation, clustering, feature selection, image classification, kernel-method
Bertrand Le Saux, Giuseppe Amato
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MIR
Authors Bertrand Le Saux, Giuseppe Amato
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