Issue No. 03 - May-June (2013 vol. 17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2013.47
Qin Lv , University of Colorado Boulder
Randomly pairing up strangers in online video chat services has quickly gained popularity over the past few years. One major issue that has emerged is the existence of misbehaviors and obscene content. Detecting misbehavior in online video chat services requires effective fusion of multiple types of evidence as well as efficient fusion strategies.
Information filtering, Internet, Online services, Video communication, Legal aspects, data fusion, online video chat, misbehavior
Qin Lv, "Detecting Misbehavior in Online Video Chat Services", IEEE Internet Computing, vol. 17, no. , pp. 76-79, May-June 2013, doi:10.1109/MIC.2013.47