Semantic labeling of digital photos by classification

被引：0

作者：

Ciocca, G ^{[1
]}

Cusano, C ^{[1
]}

Schettini, R ^{[1
]}

Brambilla, C ^{[1
]}

机构：

[1] CNR, ITC, TIM, I-20131 Milan, Italy

来源：

INTERNET IMAGING IV | 2003年 / 5018卷

关键词：

image classification; pictorial features; Classification And Regression Trees; bagging; reject option;

D O I：

10.1117/12.476186

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper addresses the problem of annotating photographs with broad semantic labels. To cope with the great variety of photos available on the WEB we have designed a hierarchical classification strategy which first classifies images as pornographic or not-pornographic. Not-pornographic images are then classified as indoor, outdoor, or close-up. On a database of over 9000 images, mostly downloaded from the web, our method achieves an average accuracy of close to 90%.

引用

页码：296 / 303

页数：8

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