Using Audio and Video Features to Classify the Most Dominant Person in a Group Meeting
| Type of publication: | Conference paper |
| Citation: | hung:MM:2007 |
| Booktitle: | "" |
| Year: | 2007 |
| Note: | IDIAP-RR 07-29 |
| Crossref: | hung:rr07-29: |
| 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: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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