ABSTRACT
There are a significant number of events that happen on a regular basis that would be worth preserving on video but for which it is impractical to use traditional video production methods. In this paper, we describe one possible way to inexpensively and unobtrusively capture and produce video in a classroom lecture environment. We discuss the importance of cinematic principles in the lecture video domain and describe guidelines that should be followed when capturing a lecture. We continue by surveying the tools provided by computer vision and computer graphics that allow us to determine syntactic information about images. Finally, we describe a way to combine these tools to create a framework for a Virtual Videography system, one that can automatically generate production quality video. This framework is based on the creation of region objects, a semantically related region of video, despite the fact that we can reliably only gather syntactic information.
- William Bares and James Lester. Intelligent multi-shot visualization interfaces for dynamic 3d worlds. In Proceedings of the 1999 International Conference on Intelligent User Interfaces, pages 119-126, 1999. Google ScholarDigital Library
- M. Bianchi. Autoauditorium: a fully automatic, multi-camera system to televise auditorium presentations, 1998.Google Scholar
- David Bordwell. On the History of Film Style. Harvard University Press, 1998.Google Scholar
- David Bordwell and Kristin Thompson. Film Art: An Introduction. The McGraw-Hill Companies, Inc., 1997.Google Scholar
- S. Drucker and D. Zeltzer. Camdroid: A system for implementing intelligent camera control. 1995 Symposium on Interactive 3D Graphics, pages 139-144, April 1995. Google ScholarDigital Library
- Foveal Systems, LLC. Auto auditorium. web page, 1999-2000. www.autoauditorium.com.Google Scholar
- William T. Freeman, David B. Anderson, Paul A. Beardsley, Chris N. Dodge, Michal Roth, Craig D. Weissman, William S. Yerazunis, Hiroshi Kage, Kazuo Kyuma, Yasunari Miyake, and Ken ichi Tanaka. Computer vision for interactive computer graphics. IEEE Computer Graphics & Applications, 18(3):42-53, May - June 1998. ISSN 0272-1716. Google ScholarDigital Library
- Michael Gleicher and James Masanz. Towards virtual videography. In Proceedings ACM Multimedia 2000, November 2000. Google ScholarDigital Library
- L. He, M. Cohen, and D. Salesin. The virtual cinematographer: A paradigm for automatic real-time camera control and directing. Proceedings of SIGGRAPH 96, pages 217-224, August 1996. Google ScholarDigital Library
- M. Hunke and A. Waibel. Face locating and tracking for human-computer interaction, 1994.Google Scholar
- Todd Hovanyecz John D. Gould, John Conti. Composing letters with a simulated listening typewriter non-traditional interactive modes. Proceedings of Human Factors in Computer Systems, pages 367-370, 1982. Google ScholarDigital Library
- Michael J. Jones and James M. Rehg. Statistical color models with application to skin detection. Technical Report CRL 98/11, Cambridge Research Laboratory, December 1998.Google Scholar
- Shanon Ju, Michael Black, Scott Minneman, and Don Kimber. Summarization of video-taped presentations: Automatic analysis of motion and gesture. IEEE Transactions on Circuits and Systems for Video Technology, 1998. Google ScholarDigital Library
- J. F. Kelley. An iterative design methodology for user-friendly natural language office information applications. ACM Transactions on Office Information Systems, 2(1):26-41, 1984. Google ScholarDigital Library
- Norman J. Medoff and Tom Tanquary. Portable Video ENG and EFP. Focal Press, fourth edition edition, 2002.Google Scholar
- Sugata Mukhopadhyay and Brian Smith. Passive capture and structuring of lectures. In ACM Conference on Multimedia, 1999. Google ScholarDigital Library
- University of Wisconsin Madison. eteach. http://eteach.engr.wisc.edu/newEteach/home.html, 1999.Google Scholar
- Yong Rui, Liwie He, Anoop Gupta, and Qioung Liu. Building an intelligent camera management system. In Proceedings of MultiMedia, 2001. Google ScholarDigital Library
- Eric Saund. Image mosaicing and a diagrammatic user interface for an office whiteboard scanner. http://www.parc.xerox.com/spl/members/saund/zombieboard-public.html.Google Scholar
- Harpreet Sawhney and Serge Ayer. Compact representations of videos through dominant and multiple motion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, April 1996. Google ScholarDigital Library
- Arno Schodl, Richard Szeliski, David Salesin, and Irfan Essa. Video textures. In Proceedings of SIGGRAPH 00, 2000. Google ScholarDigital Library
- Tanveer Syeda-Mahmood and et al. Cuevideo: A system for cross-modal search and browse of video databases. In Proceedings of Computer Vision and Pattern Recognition, June 2000.Google Scholar
- Virtual Ink Corp. Mimio. Computer Hardware Product, 2000.Google Scholar
- Michael N. Wallick, Niels da Vitoria Lobo, and Mubarak Shah. Computer vision framework for analyzing computer and overhead projections from within video. International Journal of Computers and Their Applications, 8(2), June 2001.Google Scholar
- J. Y. A. Wang and E. H. Adelson. Representing moving images with layers. The IEEE Transactions on Image Processing Special Issue: Image Sequence Compression, 3(5):625-638, September 1994.Google ScholarDigital Library
- A framework for virtual videography
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