TY - GEN
T1 - Expanding the point-automatic enlargement of presentation video elements
AU - Tung, Qiyam
AU - Swaminathan, Ranjini
AU - Efrat, Alon
AU - Barnard, Kobus
PY - 2011
Y1 - 2011
N2 - We present a system that assists users in viewing videos of lectures on small screen devices, such as cell phones. It automatically identifies semantic units on the slides, such as bullets, groups of bullets, and images. As the participant views the lecture, the system magnifies the appropriate semantic unit while it is the focus of the discussion. The system makes this decision based on cues from laser pointer gestures and spoken words that are read off the slide. It then magnifies the semantic element using the slide image and the homography between the slide image and the video frame. Experiments suggest that the semantic units of laser-based events identified by our algorithm closely match those identified by humans. In the case of identifying bullets through spoken words, results are more limited but are a good starting point for more complex methods. Finally, we show that this kind of magnification has potential for improving learning of technical content from video lectures when the resolution of the video is limited, such as when being viewed on hand held devices.
AB - We present a system that assists users in viewing videos of lectures on small screen devices, such as cell phones. It automatically identifies semantic units on the slides, such as bullets, groups of bullets, and images. As the participant views the lecture, the system magnifies the appropriate semantic unit while it is the focus of the discussion. The system makes this decision based on cues from laser pointer gestures and spoken words that are read off the slide. It then magnifies the semantic element using the slide image and the homography between the slide image and the video frame. Experiments suggest that the semantic units of laser-based events identified by our algorithm closely match those identified by humans. In the case of identifying bullets through spoken words, results are more limited but are a good starting point for more complex methods. Finally, we show that this kind of magnification has potential for improving learning of technical content from video lectures when the resolution of the video is limited, such as when being viewed on hand held devices.
KW - Laser
KW - Learning
KW - Lecture
KW - Magnification
KW - Mobile
KW - Speech
KW - Video
UR - http://www.scopus.com/inward/record.url?scp=84455188418&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84455188418&partnerID=8YFLogxK
U2 - 10.1145/2072298.2071913
DO - 10.1145/2072298.2071913
M3 - Conference contribution
AN - SCOPUS:84455188418
SN - 9781450306164
T3 - MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
SP - 961
EP - 964
BT - MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
T2 - 19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
Y2 - 28 November 2011 through 1 December 2011
ER -