Image annotation using SVM

Autor: CUSANO, CLAUDIO, CIOCCA, GIANLUIGI, SCHETTINI, RAIMONDO
Přispěvatelé: S. Santini, R. Schettini eds, Cusano, C, Ciocca, G, Schettini, R
Jazyk: angličtina
Rok vydání: 2004
Předmět:
Popis: 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.
Databáze: OpenAIRE