Bayesian networks for speech and image integration

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2002, Pages 300-306

  Wachsmuth, Sven ^a   Sagerer, Gerhard ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; IMAGE ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); SPEECH RECOGNITION; USER INTERFACES;

IMAGE INTEGRATION;

HUMAN COMPUTER INTERACTION;

EID: 0036932210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Bauckhage, C.; Fritsch, J.; Kummert, F.; and Sagerer, G. 1999. Towards a Vision System for Supervising Assembly Processes. In Proc. Symposium on Intelligent Robotic Systems, 89-98.
2. Bauckhage, C.; Fink, G. A.; Fritsch, J.; Kummert, F.; Lömker, F.; Sagerer, G.; and Wachsmuth, S. 2001. An Integrated System for Cooperative Man-Machine Interaction. In IEEE International Symposium on Computational Intelligence in Robotics and Automation, 328-333.
3. Boutilier, C.; Friedman, N.; Goldszmidt, M.; and Koller, D. 1996. Context-Specific Independence in Bayesian Networks. In Proc. of the 12th Annual Conf. on Uncertainty in AI (UAI).
4. Brandt-Pook, H.; Fink, G. A.; Wachsmuth, S.; and Sagerer, G. 1999. Integrated recognition and interpretaion of speech for a construction task domain. In Bullinger, H.-J., and Ziegler, J., eds., Proceedings 8th International Conference on Human-Computer Interaction, volume 1, 550-554.
5. Brondsted, T.; Larsen, L. B.; Manthey, M.; McKevitt, P.; Moeslund, T.; and Olesen, K. G. 1998. The Intellimedia Workbench - a Generic Environment for Multimodal Systems. In Int. Conf. on Spoken Language Processing, 273-276.
6. Dechter, R. 1998. Bucket elimination: a unifying framework for probabilistic inference. In Jordan, M. I., ed., Learning in graphical models. Dordecht, NL: Kluwer Academic Publisher.
7. Fink, G. A. 1999. Developing HMM-based recognizers with ESMERALDA. In Matoušek, V.; Mautner, P.; Ocelíková, J.; and Sojka, P., eds., Lecture Notes in Artificial Intelligence, volume 1692, 229-234. Berlin: Springer.
8. Intille, S. S. 1999. Visual Recognition of Multi-Agent Action. Ph.D. Dissertation, Massachusetts Institute of Technology.
9. Jackendoff, R. 1987. On Beyond Zebra: The relation of linguistic and visual information. Cognition 26:89-114.
10. Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems. San Francisco, California: Morgan Kaufmann.
11. Rimey, R. D., and Brown, C. M. 1994. Control of Selective Perception Using Bayes Nets and Decision Theory. International Journal of Computer Vision 12(2/3):173-207.
12. Socher, G.; Sagerer, G.; and Perona, P. 2000. Bayesian reasoning on qualitative descriptions from images and speech. Image and Vision Computing 18:155-172.
13. Srihari, R., and Burhans, D. 1994. Visual Semantics: Extracting Visual Information from Text Accompanying Pictures. In Proc. of the Nat. Conf. on Artificial Intelligence (AAAI), 793-798.
14. Srihari, R. K. 1994. Computational Models for Integrating Linguistic and Visual Information: A Survey. Artificial Intelligence Review 8:349-369.
15. Takahashi, T.; Nakanishi, S.; Kuno, Y.; and Shirai, Y. 1998. Helping Computer Vision by Verbal and Nonverbal Communication. In Int. Conf. on Pattern Recognition, 1216-1218.
16. Vorwerg, C. 2001. Kategorisierung von Grössen- und Format-tributen. In Posterbeitrag auf der 43. Tagung experimentell arbeitender Psychologen.
17. Wachsmuth, S.; Fink, G. A.; and Sagerer, G. 1998. Integration of parsing and incremental speech recognition. In Proceedings of the European Signal Processing Conference (EUSIPCO-98), volume 1, 371-375.
18. Wachsmuth, S. 2001. Multi-modal Scene Understanding Using Probabilistic Models. Ph.D. Dissertation, Bielefeld University. http://www.UB.Uni-Bielefeld.DE/index/abisz.htm.