The paper describes an innovative image annotation tool for classifying image regions in one of seven classes - sky, skin, vegetation, snow, water, ground, and buildings - or as unknown. This tool could be productively applied in the management of large image and video databases where a considerable volume of images/frames there must be automatically indexed. The annotation is performed by a classification system based on a multi-class Support Vector Machine. Experimental results on a test set of 200 images are reported and discussed.
Cusano, C., Ciocca, G., Schettini, R. (2004). Image annotation using SVM. In Internet imaging V, 2004 (pp.330-338) [10.1117/12.526746].
Image annotation using SVM
CUSANO, CLAUDIO;CIOCCA, GIANLUIGI;SCHETTINI, RAIMONDO
2004
Abstract
The paper describes an innovative image annotation tool for classifying image regions in one of seven classes - sky, skin, vegetation, snow, water, ground, and buildings - or as unknown. This tool could be productively applied in the management of large image and video databases where a considerable volume of images/frames there must be automatically indexed. The annotation is performed by a classification system based on a multi-class Support Vector Machine. Experimental results on a test set of 200 images are reported and discussed.
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