Istituto di Scienza e Tecnologie dell'Informazione     
Le Saux B., Amato G. Image classifiers for digital libraries. In: ICCVG 04, International Conference on Computer Vision and Graphics (Warsaw, Poland, 1-12 September 2004). Proceedings, 2004.
The semantic interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. We intend to design classifiers able to annotate images with keywords. Firstly, we propose an image representation appropriate for scene description: images are segmented into regions and indexed according to the presence of given region types. Secondly, we propound a classification scheme de- signed to separate images in the descriptor space. This is achieved by combining feature selection and kernel-method-based classification.
Subject Scene analysis
Feature selection
Image classification
Kernel methods
H.3.3 Information Search and Retrieval
H.3.7 Digital Libraries

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