Exploring content-based and image-based features for nude image detection

Authors:
Shi-lin Wang;Hong Hui;Sheng-hong Li;Hao Zhang;Yong-yu Shi;Wen-tao Qu
Affiliations:
School of Information Security, Shanghai Jiaotong Univ., Shanghai, China;School of Information Security, Shanghai Jiaotong Univ., Shanghai, China;Dept. of Electronic Engineering, Shanghai Jiaotong Univ., Shanghai, China;Dept. of Electronic Engineering, Shanghai Jiaotong Univ., Shanghai, China;School of Information Security, Shanghai Jiaotong Univ., Shanghai, China;Dept. of Electronic Engineering, Shanghai Jiaotong Univ., Shanghai, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

This paper introduces some widely used techniques related to nude image detection. By analyzing the merits and drawbacks of these techniques, a new nude image detection method is proposed. The proposed approach consists of two parts: the content-based approach, which aims to detect the nude image by analyzing whether it contains large mass of skin region, and the image-based approach, which extracts the color and spatial information of the image using the color histogram vector and color coherence vector, and makes classification based on the CHV and CCVs of the training samples. From the experimental results, our algorithm can achieve a classification accuracy of 85% with less than 10% false detection rate.