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
Efficient misbehaving user detection in online video chat services
Proceedings of the fifth ACM international conference on Web search and data mining
Demo: MVChat: flasher detection for mobile video chat
Proceedings of the 10th international conference on Mobile systems, applications, and services
Scalable misbehavior detection in online video chat services
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Gender swapping and user behaviors in online social games
Proceedings of the 22nd international conference on World Wide Web
Understanding user behavior at scale in a mobile video chat application
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Dynamic context extraction in personal communication applications
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
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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 fast 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 paper presents SafeVchat, a novel solution to the problem of flasher detection that employs an array of image detection algorithms. A key contribution of the paper concerns how the results of the individual detectors are fused together into an overall decision classifying the user as misbehaving or not, based on Dempster-Shafer Theory. The paper 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.