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


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