Title :
A comparison of skin detection techniques for objectionable videos
Author :
Bouirouga, Hajar ; El Fkihi, Sanaa ; Jilbab, Abdelilah ; Bakrim, M´Hamed
Author_Institution :
LRIT, Mohammed V Univ., Rabat, Morocco
fDate :
Sept. 30 2010-Oct. 2 2010
Abstract :
In this paper, we propose a real-time system that can categorize input videos into adult or non-adult videos. First, we compare and contrast the most significant skin detection techniques, feature extraction techniques and classification methods. Then, we give an analysis of the significant test results. After careful examination it was decided that an optimal system is gave by a model Bayes-Hsv.
Keywords :
Bayes methods; feature extraction; image classification; information filtering; object detection; real-time systems; skin; video signal processing; Bayes-Hsv model; feature extraction; nonadult video; objectionable video; pornographic image descriptor; real-time system; skin detection; video categorization; video classification; video filtering; Computational modeling; Feature extraction; Image color analysis; Pixel; Skin; Training; Videos; neuron networks; pornographic images descriptors; probabilistic models; skin detection; video filtering;
Conference_Titel :
I/V Communications and Mobile Network (ISVC), 2010 5th International Symposium on
Conference_Location :
Rabat
Print_ISBN :
978-1-4244-5996-4
DOI :
10.1109/ISVC.2010.5656278
