@inproceedings{04e79cf964f549729db15af6c395e6e2,
title = "The design of a hybrid feature detector for adult images",
abstract = "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.",
keywords = "Adult image, Bag-of-Visual-Words, Hue-SIFT, Hybrid detector, SIFT",
author = "Min-Jen Tsai and Chang, \{Hsuan Shao\}",
year = "2013",
month = dec,
day = "1",
doi = "10.1109/ICSC.2013.73",
language = "English",
isbn = "9780769551197",
series = "Proceedings - 2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013",
pages = "389--390",
booktitle = "Proceedings - 2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013",
note = "2013 IEEE 7th International Conference on Semantic Computing, ICSC 2013 ; Conference date: 16-09-2013 Through 18-09-2013",
}