Title | ||
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Automatic Multi-Modal Meeting Camera Selection For Video-Conferences And Meeting Browsers |
Abstract | ||
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In a video-conference the participants usually see the video of the speaker. However if somebody reacts (e. g. nodding) the system should switch to his video. Current systems do not support this. We formulate this camera selection as a pattern recognition problem. Then we apply HMMs to learn this behaviour. Thus our system can easily be adapted to different meeting scenarios. Furthermore, while current systems stay on the speaker, our system will switch if somebody reacts. In an experimental section we show that - compared to a desired output - a current system shows the wrong camera more than half of the time (frame error rate 53%), where our system selects the wrong camera in only a quarter of the time (FER 27%). |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/ICME.2007.4285090 | 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5 |
Keywords | Field | DocType |
pattern recognition,videoconference,hmm,switches,teleconferencing,hidden markov models,video conference | Computer vision,Video recording,Teleconference,Computer science,Artificial intelligence,Videoconferencing,Hidden Markov model,Pattern recognition problem,Frame error rate,Modal | Conference |
Citations | PageRank | References |
4 | 0.45 | 12 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marc Al-Hames | 1 | 116 | 8.75 |
Benedikt Hörnler | 2 | 120 | 9.61 |
Ronald Müller | 3 | 174 | 11.03 |
Joachim Schenk | 4 | 4 | 0.45 |
Gerhard Rigoll | 5 | 2788 | 268.87 |