NDLI: Obscene image detection algorithm using high-and low-quality images

Content Provider	IEEE Xplore Digital Library
Author	MyoungBeom Chung IlJu Ko DaeSik Jang
Copyright Year	2010
Description	Author affiliation: Department of Media, Soongsil University, Seoul 156-743, Korea (MyoungBeom Chung; IlJu Ko) \|\| Computer Information Engineering, Kunsan National University, Kusan 573-701, Korea (DaeSik Jang)
Abstract	Obscene image detection refers to the process of identifying obscene and pornographic portions in images previously extracted from a given video file; a process that constitutes the core of the broader obscene-video filtering system. Existing obscene-image detection methods rely on information about image texture such as RGB proportions, color-distribution histograms, and YIG to track the skin-color and edge information of the image concerned. Existing methods, however, are not very accurate when it comes to determining the obscenity level in low-quality UCC videos. This paper proposes an improved method that first utilizes Canny Edge to analyze the fine grains of the image to determine whether the image is of high or low quality, and then employs to determine whether the image passes the final obscenity test. In order to check for the efficacy of this method, an arbitrarily selected batch of images was first put through the Canny Edge test to separate the batch into two groups based on the image-quality level. The images were then tested for their obscenity levels twice, first with an existing method and then with the method proposed in this paper. Results were then analyzed, which showed that the new method yielded results that were about 10% more accurate.
Starting Page	522
Ending Page	527
File Size	893069
Page Count	6
File Format	PDF
ISBN	9781424469826
e-ISBN	9788988678176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	Image edge detection Video sharing User-generated content Information filtering Obscene Image Detection Sexual Contents Detection Image Processing Information filters Skin Internet Detection algorithms Pixel Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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