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15 December 2003 Image annotation using SVM
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudio Cusano, Gianluigi Ciocca, and Raimondo Schettini "Image annotation using SVM", Proc. SPIE 5304, Internet Imaging V, (15 December 2003); https://doi.org/10.1117/12.526746
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