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Conference Paper Appearance-based nude image detection
Cited 41 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Chi-Yoon Jeong, Jong-Sung Kim, Ki-Sang Hong
Issue Date
2004-08
Citation
International Conference on Pattern Recognition (ICPR) 2004, pp.1-4
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICPR.2004.1333803
Abstract
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.