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Proceedings Paper

Image annotation using SVM
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Paper 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 Details

Date Published: 15 December 2003
PDF: 9 pages
Proc. SPIE 5304, Internet Imaging V, (15 December 2003); doi: 10.1117/12.526746
Show Author Affiliations
Claudio Cusano, Univ. degli Studi di Milano-Bicocca (Italy)
ITC Unita Staccata di Milano/CNR (Italy)
Gianluigi Ciocca, Univ. degli Studi di Milano-Bicocca (Italy)
Consiglio Nazionale delle Ricerche (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)


Published in SPIE Proceedings Vol. 5304:
Internet Imaging V
Simone Santini; Raimondo Schettini, Editor(s)

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