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.
|Title of host publication||Proceedings of the 20th International Conference on World Wide Web, WWW 2011|
|Place of Publication||New York, NY|
|Publisher||Association for Computing Machinery|
|Number of pages||10|
|Publication status||Published - 2011|
|Event||20th International Conference on World Wide Web, WWW 2011 - Hyderabad, India|
Duration: 28 Mar 2011 → 1 Apr 2011
|Name||Proceedings of the 20th International Conference on World Wide Web, WWW 2011|
|Conference||20th International Conference on World Wide Web, WWW 2011|
|Period||28/03/11 → 1/04/11|
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