NDLI: Research on Key Technologies of Content-Based Erotic Image Filtering and Its Application

Content Provider	IEEE Xplore Digital Library
Author	Jin-Feng Yang Xuan-Jing Shen
Copyright Year	2006
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun (Jin-Feng Yang; Xuan-Jing Shen)
Abstract	Research on content-based erotic image filtering is a new technology emerged in recent years. This paper studies some key technologies of content-based erotic image filtering, analyses and compares three algorithms of detecting skin-color pixels in common use, estimates the effectiveness of the features extracted for classifying the images using the method of statistical threshold. In the end, a decision tree classifier is constructed for filtering erotic image. In order to reduce the error rate of classification for portrait image, the human face detector is used in the filter. The test of the filter is carried out on our image set with 1207 images (624 erotic images and 583 benign images), the correct rate of classification of our filter is 84.01%, while the precision for erotic image recognition is 89.74%, the precision for benign image is 75.13%
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	3786
Ending Page	3792
File Size	528082
Page Count	7
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258684
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Face detection Image analysis Algorithm design and analysis Filtering algorithms Pixel Feature extraction Decision trees Classification tree analysis Error analysis Decision Tree Classifier Erotic image Detection of Skin-Color Detection of Human Face
Content Type	Text
Resource Type	Article

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