Paper
15 December 2003 Image annotation using SVM
Author Affiliations +
Proceedings Volume 5304, Internet Imaging V; (2003) https://doi.org/10.1117/12.526746
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
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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Cited by 258 scholarly publications.
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KEYWORDS
Skin

Vegetation

Buildings

Image retrieval

Image processing

Photography

RGB color model

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