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Proceedings Paper

High-quality and small-capacity e-learning video featuring lecturer-superimposing PC screen images
Author(s): Yoshihiko Nomura; Michinobu Murakami; 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. While dynamic lecturing scene is shot by a digital video camera, screen images are electronically stored by a PC screen image capturing software in relatively long period at a practical class. Then, a lecturer and a lecture stick are extracted from the digital video images by pattern recognition techniques, and the extracted images are superimposed on the appropriate PC screen images by off-line processing. Thus, we have succeeded to create a high-quality and small-capacity (HQ/SC) video-on-demand educational content featuring the advantages: the high quality of image sharpness, the small electronic file capacity, and the realistic lecturer motion.

Paper Details

Date Published: 2 October 2006
PDF: 7 pages
Proc. SPIE 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 63840E (2 October 2006); doi: 10.1117/12.684672
Show Author Affiliations
Yoshihiko Nomura, Mie Univ. (Japan)
Michinobu Murakami, 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. 6384:
Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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