TY - GEN
T1 - SafeVchat
T2 - 20th International Conference on World Wide Web, WWW 2011
AU - Xing, Xinyu
AU - Liang, Yu Li
AU - Cheng, Hanqiang
AU - Dang, Jianxun
AU - Huang, Sui
AU - Han, Richard
AU - Liu, Xue
AU - Lv, Qin
AU - Mishra, Shivakant
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84873464701&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873464701&partnerID=8YFLogxK
U2 - 10.1145/1963405.1963501
DO - 10.1145/1963405.1963501
M3 - Conference contribution
AN - SCOPUS:84873464701
SN - 9781450306324
T3 - Proceedings of the 20th International Conference on World Wide Web, WWW 2011
SP - 685
EP - 694
BT - Proceedings of the 20th International Conference on World Wide Web, WWW 2011
PB - Association for Computing Machinery
Y2 - 28 March 2011 through 1 April 2011
ER -