A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Evidence Theory and Its Applications
Evidence Theory and Its Applications
Statistical color models with application to skin detection
International Journal of Computer Vision
Non-retrieval: Blocking Pornographic Images
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Dempster-Shafer Theory for Intrusion Detection in Ad Hoc Networks
IEEE Internet Computing
Pattern Recognition Letters
A survey of skin-color modeling and detection methods
Pattern Recognition
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Naked image detection based on adaptive and extensible skin color model
Pattern Recognition
Recognition of Pornographic Web Pages by Classifying Texts and Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Detecting pornographic video content by combining image features with motion information
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Building systems to block pornography
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
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Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are quickly becoming very popular, with over a million users per month in the case of Chatroulette. A key problem encountered in such systems is the presence of flashers and obscene content. This problem is especially acute given the presence of underage minors in such systems. This article presents SafeVchat, a novel solution to the problem of flasher detection that employs an array of image detection algorithms. A key contribution of the article concerns how the results of the individual detectors are fused together into an overall decision classifying a user as misbehaving or not, based on Dempster-Shafer theory. The article introduces a novel, motion-based skin detection method that achieves significantly higher recall and better precision. The proposed methods have been evaluated over real-world data and image traces obtained from Chatroulette.com. SafeVchat has been deployed in Chatroulette. A combination of SafeVchat with human moderation has resulted in banning as many as 50,000 inappropriate users per day on Chatoulette. Furthermore, offensive content on Chatoulette has dropped significantly from 33.08% (before SafeVchat installation) to 3.49% (after SafeVchat installation).