NDLI: Adult image detection with c lose-up face classification

Content Provider	IEEE Xplore Digital Library
Author	Byeongcheol Choi Jeongnyeo Kim Jeacheol Ryou
Copyright Year	2009
Description	Author affiliation: Electronics and Telecommunications Research Institute, Dajeon, Korea (Byeongcheol Choi; Jeongnyeo Kim; Jeacheol Ryou)
Abstract	The SVM (support vector machine) and the SCM (skin color model) are used for detection of adult contents. The SVM consists of multi-class learning model and is very effective method for face detection, but complex. On the contrary, the SCM is very simple for detecting the adult images using skin ratio derived from statistical characteristics of RGB color information, but less effective in close-up facial images. So, we propose a hybrid scheme that combines the SVM for the $1^{st}$ filtering scheme using 3-class learning model (with classes of objectionable, non-objectionable and close-up facial image) with the SCM for the $2^{nd}$ filtering scheme using skin ratio. The performance of proposed scheme improves about 2.5% ∼ 4.6% in the true positive rate and about 4.6% in the false positive rate.
Starting Page	1
Ending Page	2
File Size	698179
Page Count	2
File Format	PDF
ISBN	9781424447015
DOI	10.1109/ICCE.2009.5012282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Support vector machines Support vector machine classification Skin Filtering MPEG 7 Standard Feature extraction Adaptive filters Image classification User-generated content
Content Type	Text
Resource Type	Article

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