24 October 2005 High performance file compression algorithm for video-on-demand e-learning system
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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.
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Yoshihiko Nomura, Yoshihiko Nomura, Ryutaro Matsuda, Ryutaro Matsuda, Ryota Sakamoto, Ryota Sakamoto, Tokuhiro Sugiura, Tokuhiro Sugiura, Hirokazu Matsui, Hirokazu Matsui, Norihiko Kato, Norihiko Kato, "High performance file compression algorithm for video-on-demand e-learning system", Proc. SPIE 6006, Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, 60060X (24 October 2005); doi: 10.1117/12.630497; https://doi.org/10.1117/12.630497

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