Multimodal Integration for Meeting Group Action Segmentation and Recognition-Reference-Cited by-同舟云学术

Multimodal Integration for Meeting Group Action Segmentation and Recognition

Published:2006 Issue: Volume: Page:52-63
ISSN:0302-9743
Container-title:Machine Learning for Multimodal Interaction
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Author:

Al-Hames Marc,Dielmann Alfred,Gatica-Perez Daniel,Reiter Stephan,Renals Steve,Rigoll Gerhard,Zhang Dong

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11677482_5

Reference16 articles.

1. Al-Hames, M., Rigoll, G.: A multi-modal graphical model for robust recognition of group actions in meetings from disturbed videos. In: Proc. IEEE ICIP, Italy (2005)

2. Al-Hames, M., Rigoll, G.: A multi-modal mixed-state dynamic Bayesian network for robust meeting event recognition from disturbed data. In: Proc. IEEE ICME (2005)

3. Bengio, S.: An asynchronous hidden markov model for audio-visual speech recognition. In: Becker, S., Thrun, S., Obermayer, K. (eds.) Advances in NIPS 15. MIT Press, Cambridge (2003)

4. Bilmes, J.: Graphical models and automatic speech recognition. Mathematical Foundations of Speech and Language Processing (2003)

5. Lecture Notes in Computer Science;A. Dielmann,2005

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