RSViewer: An Efficient Video Viewer for Racquet Sports Focusing on Rally Scenes

Shunya Kawamura, Tsukasa Fukusato, Tatsunori Hirai, Shigeo Morishima

2016

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.

Paper Citation

in Harvard Style

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, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 247-254. DOI: 10.5220/0005670802470254

in Bibtex Style

@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, (VISIGRAPP 2016)},
year={2016},
pages={247-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005670802470254},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: 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