Image annotation using SVM

被引：0
|
作者：
Cusano, C [1 ]
Ciocca, G [1 ]
Schettini, R [1 ]
机构：
[1] Univ Milan, DISCo, I-20126 Milan, Italy
来源：
INTERNET IMAGING V | 2004年 / 5304卷
关键词：
image annotation; support vector machines; rejection options; joint histogram;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：330 / 338
页数：9
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