Image annotation using SVM
Claudio Cusano, Gianluigi Ciocca, Raimondo Schettini · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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.