%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{Salamin_IEEETRANSACTIONSONMULTIMEDIA_2009,
         author = {Salamin, Hugues and Favre, Sarah and Vinciarelli, Alessandro},
       projects = {Idiap, IM2, SSPNet},
          month = {11},
          title = {Automatic Role Recognition in Multiparty Recordings: Using Social Affiliation Networks for Feature Extraction},
        journal = {IEEE Transactions on Multimedia},
         volume = {11},
         number = {7},
           year = {2009},
       abstract = {Automatic analysis of social interactions attracts increasing
attention in the multimedia community. This paper considers
one of the most important aspects of the problem, namely
the roles played by individuals interacting in different
settings. In particular, this work proposes an automatic
approach for the recognition of roles in both production
environment contexts (e.g., news and talk-shows) and spontaneous
situations (e.g., meetings). The experiments are performed over roughly
90 hours of material (one of the largest databases used
for role recognition in the literature) and show that the
recognition effectiveness depends on how much the roles
influence the behavior of people. Furthermore, this
work proposes the first approach for modeling mutual
dependences between roles and assesses its effect on role
recognition performance.},
            pdf = {https://publications.idiap.ch/attachments/papers/2009/Salamin_IEEETRANSACTIONSONMULTIMEDIA_2009.pdf}
}