NDLI: The Adult Image Identification Based on Online Sampling

Content Provider	IEEE Xplore Digital Library
Author	Jiann-Shu Lee Yung-Ming Kuo Pau-Choo Chung
Copyright Year	2006
Description	Author affiliation: Nat. Univ. of Tainan, Tainan (Jiann-Shu Lee)
Abstract	This paper presents a new adult image identification system. We propose the online skin tone sampling mechanism based on face detection. The object detection based on machine learning approach is used to locate the face region in the target image. According to the face color information, the skin chromatic distribution is extracted to detect the skin objects in the target image. The texture feature, coarseness, is also utilized to acquire the more accurate skin regions. Then, the back propagation neural network is used to integrate several low-level and reliable geometrical constraints into a classifier to inspect the skin regions further. Finally, the mug shot exclusion procedure is applied to promote the system performance. The experimental results show our method is satisfactory for adult image detection.
Starting Page	2566
Ending Page	2571
File Size	258109
Page Count	6
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.247111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image sampling Skin Face detection Humans Internet Object detection Information filtering Information filters Testing Machine learning face detection adult image detection online sampling
Content Type	Text
Resource Type	Article

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