SafeVchat: Detecting obscene content and misbehaving users in online video chat services

Xinyu Xing, Yu Li Liang, Hanqiang Cheng, Jianxun Dang, Sui Huang, Richard Han, Xue Liu, Qin Lv, Shivakant Mishra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th International Conference on World Wide Web, WWW 2011
PublisherAssociation for Computing Machinery
Pages685-694
Number of pages10
ISBN (Print)9781450306324
DOIs
StatePublished - Jan 1 2011
Event20th International Conference on World Wide Web, WWW 2011 - Hyderabad, India
Duration: Mar 28 2011Apr 1 2011

Publication series

NameProceedings of the 20th International Conference on World Wide Web, WWW 2011

Other

Other20th International Conference on World Wide Web, WWW 2011
CountryIndia
CityHyderabad
Period3/28/114/1/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'SafeVchat: Detecting obscene content and misbehaving users in online video chat services'. Together they form a unique fingerprint.

  • Cite this

    Xing, X., Liang, Y. L., Cheng, H., Dang, J., Huang, S., Han, R., Liu, X., Lv, Q., & Mishra, S. (2011). SafeVchat: Detecting obscene content and misbehaving users in online video chat services. In Proceedings of the 20th International Conference on World Wide Web, WWW 2011 (pp. 685-694). (Proceedings of the 20th International Conference on World Wide Web, WWW 2011). Association for Computing Machinery. https://doi.org/10.1145/1963405.1963501