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Anthropocentric Video Segmentation for Lecture Webcasts

Abstract

Many lecture recording and presentation systems transmit slides or chalkboard content along with a small video of the instructor. As a result, two areas of the screen are competing for the viewer's attention, causing the widely known split-attention effect. Face and body gestures, such as pointing, do not appear in the context of the slides or the board. To eliminate this problem, this article proposes to extract the lecturer from the video stream and paste his or her image onto the board or slide image. As a result, the lecturer acting in front of the board or slides becomes the center of attention. The entire lecture presentation becomes more human-centered. This article presents both an analysis of the underlying psychological problems and an explanation of signal processing techniques that are applied in a concrete system. The presented algorithm is able to extract and overlay the lecturer online and in real time at full video resolution.

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Correspondence to Gerald Friedland.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Friedland, G., Rojas, R. Anthropocentric Video Segmentation for Lecture Webcasts. J Image Video Proc 2008, 195743 (2007). https://doi.org/10.1155/2008/195743

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Keywords

  • Presentation System
  • Psychological Problem
  • Video Stream
  • Full Article
  • Signal Processing Technique