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- W2352139915 abstract "The content security is a new and important issue in information security. Erotic image analysis and monitoring is an important research branch of content security,and has been attracted more and more attention in recent years. However,due to the corre- sponding study only began several years ago and the images are complex,there are not many corresponding reported research results rela- tively and their performance needs improving further. Therefore,this paper proposed a new approach to analyze and detect the erotic ima- ges based on both image content analysis and image bottom-layer feature analysis. For the image content analysis,the detection of erotic image is performed by analyzing whether it contains large mass of skin region. For the image bottom-layer feature analysis,the detection of erotic image is performed by extracting the color and spatial information of the image based on color histogram vector (CHV) and col- or coherence vector (CCV) and making classification based on Support Vector Machines (SVM). The final detection result of the pro- posed approach is obtained by judging the above detection results integratedly. The experimental results show the effectiveness of the pro- posed approach." @default.
- W2352139915 created "2016-06-24" @default.
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- W2352139915 date "2008-01-01" @default.
- W2352139915 modified "2023-09-23" @default.
- W2352139915 title "The Content and Bottom-Layer Feature Based Detection Approach for Nude Images" @default.
- W2352139915 hasPublicationYear "2008" @default.
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