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@ARTICLE{Jayagopi_IEEETRANS.ONMULTIMEDIA_2010,
         author = {Jayagopi, Dinesh Babu and Gatica-Perez, Daniel},
       projects = {Idiap, IM2},
          title = {Mining group nonverbal conversational patterns using probabilistic topic models},
        journal = {IEEE Transactions on Multimedia},
           year = {2010},
       abstract = {The automatic discovery of group conversational
behavior is a relevant problem in social computing.
In this paper, we present an approach to address this
problem by defining a novel group descriptor called bag
of group-nonverbal-patterns defined on brief observations
of group interaction, and by using principled probabilistic
topic models to discover topics. The proposed bag of group
NVPs allows fusion of individual cues and facilitates the
eventual comparison of groups of varying sizes. The use
of topic models helps to cluster group interactions and
to quantify how different they are from each other in a
formal probabilistic sense. Results of behavioral topics discovered
on the Augmented Multi-Party Interaction (AMI)
meeting corpus are shown to be meaningful using human
annotation with multiple observers. Our method facilitates
{\^{a}}€˜group behaviour-based{\^{a}}€™ retrieval of group conversational
segments without the need of any previous labeling.},
            pdf = {https://publications.idiap.ch/attachments/papers/2010/Jayagopi_IEEETRANS.ONMULTIMEDIA_2010.pdf}
}