An automated end-to-end lecture capturing and broadcasting system

Authors:
Cha Zhang;Jim Crawford;Yong Rui;Li-wei He
Affiliations:
Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA
Venue:
Proceedings of the 13th annual ACM international conference on Multimedia
Year:
2005

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Abstract

We present a complete end-to-end system that is fully automated and supports capturing, broadcasting, viewing, archiving and search. Specifically, we describe a system architecture that minimizes the pre- and post-production time, and a fully automated lecture capturing system called iCam2, which synchronously captures all the contents of the lecture, including audio, video and visual aids. As no staff is needed during the capturing and broadcasting process, the operation cost of our system is negligible. The system has been used on a daily basis for more than 4 years, during which 467 lectures were captured with 17,000+ online viewers.