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}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Crossref by |
hung:MM:2007 |
| Added by: | [UNK] |
| Total mark: | 0 |
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