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Videography for telepresentations
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Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Ft. Lauderdale, Florida, USA
DEMONSTRATION SESSION: Camera-based input and video techniques table of contents
Pages: 457 - 464  
Year of Publication: 2003
ISBN:1-58113-630-7
Authors
Yong Rui  Microsoft Research, Redmond, WA
Anoop Gupta  Microsoft Research, Redmond, WA
Jonathan Grudin  Microsoft Research, Redmond, WA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 39,   Citation Count: 8
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ABSTRACT

Our goal is to help automate the capture and broadcast of lectures to remote audiences. There are two inter-related components to the design of such systems. The technology component includes the hardware (e.g., video cameras) and associated software (e.g., speaker-tracking). The aesthetic component embodies the rules and idioms that human videographers follow to make a video visually engaging. We present a lecture room automation system and a substantial number of new video-production rules obtained from professional videographers who critiqued it. We also describe rules for a variety of lecture room environments differing in the numbers and types of cameras. We further discuss gaps between what professional videographers do and what is technologically feasible today.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Arijon, D. Grammar of the film language, New York: Communication arts books, Hastings House Publishers, 1976.
 
2
Bianchi, M., AutoAuditorium: a fully automatic, multi-camera system to televise auditorium presentations, Proc. Joint DARPA/NIST Smart Spaces Technology Workshop, July 1998.
 
3
Brotherton, J. & Abowd, G., Rooms take note: room takes notes!, Proc. AAAI Symposium on Intelligent Environments, 1998, 23--30.
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MIT-OCW, http://web.mit.edu/ocw/
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ParkerVision, http://www.parkervision.com/
 
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PictureTel, http://www.picturetel.com/
 
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PolyCom, http://www.polycom.com/
 
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Stanford iRoom, http://graphics.stanford.edu/projects/iwork/
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Wang, C. & Brandstein, M., A hybrid real-time face tracking system, Proc. ICASSP98, 3737--3740.
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CITED BY  8

Collaborative Colleagues:
Yong Rui: colleagues
Anoop Gupta: colleagues
Jonathan Grudin: colleagues