2006
Conference article
Restricted
Image Classifiers for Scene Analysis
Le Saux B., Amato G.
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.
Source: ICCVG 04, International Conference on Computer Vision and Graphics, pp. 39–44, Warsaw, 22-24 September 2004
Publisher: Springer, Dordrecht, NLD
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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:91076,
title = {Image Classifiers for Scene Analysis},
author = {Le Saux B. and Amato G.},
publisher = {Springer, Dordrecht, NLD},
doi = {10.1007/1-4020-4179-9},
booktitle = {ICCVG 04, International Conference on Computer Vision and Graphics, pp. 39–44, Warsaw, 22-24 September 2004},
year = {2006}
}CNR authorsLaboratories
0000-0003-0171-4315