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

页码：330 / 338

页数：9

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