The design of a hybrid feature detector for adult images

Min-Jen Tsai, Hsuan Shao Chang

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

Adult image detection is an important issue lately due to the parental control needs. Skin color detector is a typical solution for adult image detection. However, the performance needs to be improved due to the lack of color photo diversity. Even Bag-of-Visual-Words (BoVWs) approaches is another scheme to solve this problem, it is not easy to get efficient solution. In this paper, a hybrid feature detector for adult images is proposed. The method normalizes the local feature and global feature to become a hybrid feature which combines the benefits between BoVWs and skin-color-detector. Experimental results demonstrate that its computation time is shorter than the one of BoVWs technique and almost equivalent to the one of skin-color-detector. The most important fact of all is that the hybrid feature detector has achieved better accuracy ratio than the results by using BoVWs or skin-color-detector techniques.

原文English
主出版物標題Proceedings - 2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013
頁面389-390
頁數2
DOIs
出版狀態Published - 1 12月 2013
事件2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013 - Irvine, CA, United States
持續時間: 16 9月 201318 9月 2013

出版系列

名字Proceedings - 2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013

Conference

Conference2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013
國家/地區United States
城市Irvine, CA
期間16/09/1318/09/13

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