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Scalable misbehavior detection in online video chat services

Xinyu Xing Georgia Institute of Technology, Atlanta, USA Yuli Liang University of Colorado at Boulder, Boulder, USA Sui Huang Ohio State University, Columbus, USA Hanqiang Cheng McGill University, montreal, Canada Richard Yeh Whei Han University of Colorado at Boulder, Boulder, USA Qin Lv University of Colorado at Boulder, Boulder, USA Xue Liu McGill University, Montreal, USA Shivakant Mishra University of Colorado at Boulder, Boulder, USA Yi Zhu Tsinghua University, Beijing, China

TBD mathscidoc:2204.43027

KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012.8
The need for highly scalable and accurate detection and filtering of misbehaving users and obscene content in online video chat services has grown as the popularity of these services has exploded in popularity. This is a challenging problem because processing large amounts of video is compute intensive, decisions about whether a user is misbehaving or not must be made online and quickly, and moreover these video chats are characterized by low quality video, poorly lit scenes, diversity of users and their behaviors, diversity of the content, and typically short sessions. This paper presents EMeralD, a highly scalable system for accurately detecting and filtering misbehaving users in online video chat applications. EMeralD substantially improves upon the state-of-the-art filtering mechanisms by achieving much lower computational cost and higher accuracy. We demonstrate EMeralD's improvement via experimental evaluations on real-world data sets obtained from Chatroulette.com.
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@inproceedings{xinyu2012scalable,
  title={Scalable misbehavior detection in online video chat services},
  author={Xinyu Xing, Yuli Liang, Sui Huang, Hanqiang Cheng, Richard Yeh Whei Han, Qin Lv, Xue Liu, Shivakant Mishra, and Yi Zhu},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20220428161535509393158},
  booktitle={KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining},
  year={2012},
}
Xinyu Xing, Yuli Liang, Sui Huang, Hanqiang Cheng, Richard Yeh Whei Han, Qin Lv, Xue Liu, Shivakant Mishra, and Yi Zhu. Scalable misbehavior detection in online video chat services. 2012. In KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20220428161535509393158.
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