PUMA
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.
 
 
Abstract
(English)
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


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional