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Paper Abstract and Keywords
Presentation 2011-12-12 13:30
A Study on Objectionable Content Detection Method based on Some Image Features
Daisuke Matsumoto, Terumasa Aoki (Tohoku Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a new objectionable content detection method which uses "the rate of a pixel with the same luminosity value" as new image features and the filtering system which combined two or more features. In order to describe these features, we calculate the histogram of pixel values and judges whether an animation video is pornographic or not by performing the threshold processing. We show that our proposal is a very powerful for pornographic animation detection and a filtering system based on some image features can detect pornographic animation more sufficiently, by experimental results.
Keyword (in Japanese) (See Japanese page) 
(in English) Objectionable content / filtering / Image comprehension / Image features / / / /  
Reference Info. ITE Tech. Rep., vol. 35, no. 52, ME2011-135, pp. 17-20, Dec. 2011.
Paper # ME2011-135 
Date of Issue 2011-12-05 (ME) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee ME  
Conference Date 2011-12-12 - 2011-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2011-12-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Objectionable Content Detection Method based on Some Image Features 
Sub Title (in English)  
Keyword(1) Objectionable content  
Keyword(2) filtering  
Keyword(3) Image comprehension  
Keyword(4) Image features  
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1st Author's Name Daisuke Matsumoto  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Terumasa Aoki  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2011-12-12 13:30:00 
Presentation Time 30 minutes 
Registration for ME 
Paper # ME2011-135 
Volume (vol) vol.35 
Number (no) no.52 
Page pp.17-20 
#Pages
Date of Issue 2011-12-05 (ME) 


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