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Proceedings Paper

High performance file compression algorithm for video-on-demand e-learning system
Author(s): Yoshihiko Nomura; Ryutaro Matsuda; Ryota Sakamoto; Tokuhiro Sugiura; Hirokazu Matsui; Norihiko Kato
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Paper Abstract

Information processing and communication technology are progressing quickly, and are prevailing throughout various technological fields. Therefore, the development of such technology should respond to the needs for improvement of quality in the e-learning education system. The authors propose a new video-image compression processing system that ingeniously employs the features of the lecturing scene: recognizing the a lecturer and a lecture stick by pattern recognition techniques, the video-image compression processing system deletes the figure of a lecturer of low importance and displays only the end point of a lecture stick. It enables us to create the highly compressed lecture video files, which are suitable for the Internet distribution. We compare this technique with the other simple methods such as the lower frame-rate video files, and the ordinary MPEG files. The experimental result shows that the proposed compression processing system is much more effective than the others.

Paper Details

Date Published: 24 October 2005
PDF: 6 pages
Proc. SPIE 6006, Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, 60060X (24 October 2005); doi: 10.1117/12.630497
Show Author Affiliations
Yoshihiko Nomura, Mie Univ. (Japan)
Ryutaro Matsuda, Mie Univ. (Japan)
Ryota Sakamoto, Mie Univ. (Japan)
Tokuhiro Sugiura, Mie Univ. (Japan)
Hirokazu Matsui, Mie Univ. (Japan)
Norihiko Kato, Mie Univ. (Japan)


Published in SPIE Proceedings Vol. 6006:
Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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