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《Transactions of Beijing Institute of Technology》 2008-05
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Detecting Pornographic Images with Visual Words

WANG Yu-shi1,LI Yuan-ning2,GAO Wen1,2,3(1.Department of Computer Science and Engineering,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China;2.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100081,China;3.School of Electronics Engineering and Computer Science,Peking University,Beijing 100871,China)  
Most pornographic image detection technologies proposed in recent years are based on low level visual features and often lead to many false detections.Try here to overcome the problem by introducing image local features into the detection.The appearance descriptors of the interested points are quantized as visual words in a refined visual vocabulary.The system builds miniature images describing the distribution of pornographic visual words.From the miniature,regions involving pornography remarkably are extracted,and are analyzed to judge whether the whole image is pornographic.Compared with traditional type of detection system,the new approach performs better and makes fewer mistakes on the test set including many benign portraits.Experimental results showed that the method based on the distribution of visual words can provide a promising direction to detect pornographic images.
【Fund】: 国家“八六三”计划项目(2003AA142140)
【CateGory Index】: TP391.41
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