Title :
Detecting Misbehavior in Online Video Chat Services
Author_Institution :
Univ. of Colorado, Boulder, CO, USA
Abstract :
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.
Keywords :
Internet; behavioural sciences computing; video communication; fusion strategies; misbehavior detection; obscene content; online video chat services; Information filtering; Internet; Legal aspects; Online services; Video communication; data fusion; misbehavior; online video chat;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/MIC.2013.47
