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 [BibTeX] [Marc21]
Using Audio and Video Features to Classify the Most Dominant Person in a Group Meeting
Type of publication: Idiap-RR
Citation: hung:rr07-29
Number: Idiap-RR-29-2007
Year: 2007
Institution: IDIAP
Note: To appear in Association for Computing Machinery - Multimedia (ACM-MM,',','), September 23--28, 2007, Augsburg, Bavaria, Germany.
Abstract: The automated extraction of semantically meaningful information from multi-modal data is becoming increasingly necessary due to the escalation of captured data for archival. A novel area of multi-modal data labelling, which has received relatively little attention, is the automatic estimation of the most dominant person in a group meeting. In this paper, we provide a framework for detecting dominance in group meetings using different audio and video cues. We show that by using a simple model for dominance estimation we can obtain promising results.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Hung, Hayley
Jayagopi, Dinesh Babu
Yeo, Chuohao
Friedland, Gerald
Ba, Silèye O.
Odobez, Jean-Marc
Ramchandran, Kannan
Mirghafori, Nikki
Gatica-Perez, Daniel
Crossref by hung:MM:2007
Added by: [UNK]
Total mark: 0
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