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Authors: Shunya Kawamura 1 ; Tsukasa Fukusato 1 ; Tatsunori Hirai 1 and Shigeo Morishima 2

Affiliations: 1 Waseda University, Japan ; 2 Waseda Research Institute for Science and Engineering / JST CREST, Japan

ISBN: 978-989-758-175-5

Keyword(s): Video Summarization, Rally Shot Detection, Shot Evaluation, Fast-Forwarding, User Interface.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Spatial Data Visualization

Abstract: This paper presents RSViewer, a video browsing system specialized for racquet sports, which reflects users’ interests. Methods to support users in browsing racquet sports matches by summarizing video composed of important rally shots have been discussed in a previous study. However, the method is not practical enough because the auditory events should be manually annotated in advance to detect such scenes. Therefore, we propose an automatic rally shot detection based on shot clustering method using white line detection. Our system calculates the importance of rally shots based on audio features. As the result, the summarized video can facilitate users find and review the information they need. The result of experiments shows that our method is effective in an aspect of efficient video browsing experience. Furthermore, we propose a high-speed playback method customized to racquet sports video and realize more efficient video browsing experience.

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Paper citation in several formats:
Kawamura, S.; Fukusato, T.; Hirai, T. and Morishima, S. (2016). RSViewer: An Efficient Video Viewer for Racquet Sports Focusing on Rally Scenes.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 247-254. DOI: 10.5220/0005670802470254

@conference{ivapp16,
author={Shunya Kawamura. and Tsukasa Fukusato. and Tatsunori Hirai. and Shigeo Morishima.},
title={RSViewer: An Efficient Video Viewer for Racquet Sports Focusing on Rally Scenes},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={247-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005670802470254},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)
TI - RSViewer: An Efficient Video Viewer for Racquet Sports Focusing on Rally Scenes
SN - 978-989-758-175-5
AU - Kawamura, S.
AU - Fukusato, T.
AU - Hirai, T.
AU - Morishima, S.
PY - 2016
SP - 247
EP - 254
DO - 10.5220/0005670802470254

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