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 [BibTeX] [Marc21]
Automatic Role Recognition in Multiparty Recordings Using Social Networks and Probabilistic Sequential Models
Type of publication: Conference paper
Citation: Favre_ACMMULTIMEDIA2009_2009
Booktitle: ACM International Conference on Multimedia
Year: 2009
Abstract: The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem, namely the recognition of roles in social exchanges. The proposed approach is based on Social Network Analysis, for the representation of individuals in terms of their interactions with others, and probabilistic sequential models, for the recognition of role sequences underlying the sequence of speakers in conversations. The experiments are performed over different kinds of data (around 90 hours of broadcast data and meetings,',','), and show that the performance depends on how formal the roles are, i.e. on how much they constrain people behavior.
Projects Idiap
Authors Favre, Sarah
Dielmann, Alfred
Vinciarelli, Alessandro
Added by: [UNK]
Total mark: 0
  • Favre_ACMMULTIMEDIA2009_2009.pdf