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학술대회 Appearance-based nude image detection
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저자
정치윤, 김종성, 홍기상
발행일
200408
출처
International Conference on Pattern Recognition (ICPR) 2004, pp.1-4
DOI
https://dx.doi.org/10.1109/ICPR.2004.1333803
협약과제
04MK1900, 내용기반 유해정보 방지기술 개발, 장종수
초록
In this paper, we propose an appearance-based nude image detection system. The proposed system is novel in that shape information is used to classify the nude images, and detect small nude images in a large background image. First, the proposed system finds skin regions using texture characteristics of the human skin, which then generates the skin likelihood image. Since the skin likelihood image contains shape information as well as skin color information, we used the skin likelihood image as a high level feature to classify the nude images. The image feature vector (resized skin likelihood image) is used as an input to a nonlinear-SVM. Experimental results show that the proposed system can achieve an excellent classification performance. Additionally, the proposed system can detect small nude images in a large image.
KSP 제안 키워드
Background image, Classification Performance, Feature Vector, High-level features, Image detection system, Image feature, Intrusion detection system(IDS), Skin color information, Texture characteristics, appearance-based, human skin