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
收藏
页码：296 / 303
页数：8
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