DocumentCode :
260275
Title :
Development of a real-time nudity censorship system on images
Author :
Dewantono, Satrio ; Supriana, Iping
Author_Institution :
Dept. of Comput. Sci., Bandung Inst. of Technol., Bandung, Indonesia
fYear :
2014
fDate :
28-30 May 2014
Firstpage :
30
Lastpage :
35
Abstract :
We propose a system for detecting and localizing nudity content in images and series of images (video), so that further action can be done on relevant segments (typically covering). We also attempt to make this system able to be run on video input, compromising frame rate as little as possible. In this paper we use a skin filtering method based on a Bayes rule, followed by a novel histogram backprojection of skin samples selected based on standard deviation and gradients. The filtered image is then clustered into a Bag-of-Visual-Words (BOVW) and classified using SVM. Localization is then achieved by shrinking the image window borders on which the classification is performed. The skin filtering method described here has an increased recall rate compared to filtering using pure Bayes rule. The nudity classification phase achieved a highest accuracy rate of 76.11% on a 5-fold cross validation test. Finally, the localization phase, when run on video clips, has successfully localized a minimum of a quarter of nude segments in a clip, although many cases of over segmentation still occur. The system is able to maintain a highest average frame rate of 15 FPS when run on videos using hardware specifications that we used.
Keywords :
Bayes methods; filtering theory; image classification; support vector machines; video signal processing; BOVW; Bayes rule; SVM; bag-of-visual-words; filtered image; frame rate; gradients; hardware specifications; histogram backprojection; image classification; image window borders; localization phase; nudity classification; nudity content; real-time nudity censorship system; relevant segments; skin filtering method; skin samples; standard deviation; validation test; video clips; video input; Censorship; Feature extraction; Filtering; Histograms; Image edge detection; Image segmentation; Skin; bag of visual words; nudity censorship; skin filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology (ICoICT), 2014 2nd International Conference on
Conference_Location :
Bandung
Type :
conf
DOI :
10.1109/ICoICT.2014.6914035
Filename :
6914035
Link To Document :
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