Passive capture and structuring of lectures
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interacting at a distance: measuring the performance of laser pointers and other devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interaction with a Projection Screen Using a Camera-tracked Laser Pointer
MMM '98 Proceedings of the 1998 Conference on MultiMedia Modeling
Unified Presentation Contents Retrieval Using Laser Pointer Information
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Matching slides to presentation videos using SIFT and scene background matching
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Automatic generation of conference video proceedings
Journal of Visual Communication and Image Representation
A portable and low-cost e-learning video capture system
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Expanding the point: automatic enlargement of presentation video elements
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Client-side backprojection of presentation slides into educational video
Proceedings of the 20th ACM international conference on Multimedia
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The rapid adoption of distance learning means that significant lecture video content is available on-line. However, access from mobile devices is hampered by low bandwidth and small screen size. In this paper, we address these issues by manipulating two key elements of lecture videodisplayed slides and laser pointer gestures. Displayed slides need to be very crisp compared to background content. Fortunately, the needed data is available from the presentation slides, and we describe a method for splicing them into the video on the client side, increasing fidelity, and reducing bandwidth needs. This operation removes laser pointer gestures, which are often lost due to compression, and are hard to see on the small screens of mobile regardless. But these gestures are part of what makes watching lecture video different than simply looking at the slides. Hence we interpret the laser pointer gestures as we analyze the videos, creating representations that can be transmitted at a low cost. These representations can then be iconified on the client side and displayed clearly.