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.
paper
image annotation, image classification, svm
English
Internet imaging V, 2004
9780819452078
Cusano, C., Ciocca, G., Schettini, R. (2004). Image annotation using SVM. In Internet imaging V, 2004 (pp.330-338) [10.1117/12.526746].
Cusano, C; Ciocca, G; Schettini, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/12905
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