Expanding the point-automatic enlargement of presentation video elements

Qiyam Tung, Ranjini Swaminathan, Alon Efrat, Kobus Barnard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
Pages961-964
Number of pages4
DOIs
StatePublished - 2011
Event19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 - Scottsdale, AZ, United States
Duration: Nov 28 2011Dec 1 2011

Publication series

NameMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Other

Other19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
Country/TerritoryUnited States
CityScottsdale, AZ
Period11/28/1112/1/11

Keywords

  • Laser
  • Learning
  • Lecture
  • Magnification
  • Mobile
  • Speech
  • Video

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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