標題: | The Design of a Hybrid Feature Detector for Adult Images |
作者: | Tsai, Min-Jen Chang, Hsuan-Shao 資訊管理與財務金融系 註:原資管所+財金所 Department of Information Management and Finance |
關鍵字: | adult image;Bag-of-Visual-Words;hybrid detector;SIFT;Hue-SIFT |
公開日期: | 2013 |
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. |
URI: | http://hdl.handle.net/11536/23715 http://dx.doi.org/10.1109/ICSC.2013.73 |
ISBN: | 978-0-7695-5119-7 |
ISSN: | 2325-6516 |
DOI: | 10.1109/ICSC.2013.73 |
期刊: | 2013 IEEE SEVENTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2013) |
起始頁: | 389 |
結束頁: | 390 |
顯示於類別: | 會議論文 |