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Authors: Steven Verstockt ; Alec Van den broeck ; Brecht Van Vooren ; Simon De Smul and Jelle De Bock

Affiliation: IDLab, Ghent University-imec, Belgium

Keyword(s): Data-driven Summarization, Rider Recognition, Storytelling.

Abstract: The number of spectators for cycling races broadcasted on television is decreasing each year. More dynamic and personalized reporting formats are needed to keep the viewer interested. In this paper, we propose a methodology for data-driven summarization, which allows end-users to query for personalized stories of a race, tailored to their needs (such as the length of the clip and the riders and/or teams that they are interested in). The automatic summarization uses a combination of skeleton-based rider pose detection and pose-based recognition algorithms of the team jerseys and rider faces/numbers. Evaluation on both cyclocross and road cycling races show that there is certainly potential in this novel methodology.

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Paper citation in several formats:
Verstockt, S.; Van den broeck, A.; Van Vooren, B.; De Smul, S. and De Bock, J. (2020). Data-driven Summarization of Broadcasted Cycling Races by Automatic Team and Rider Recognition. In Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support - icSPORTS; ISBN 978-989-758-481-7; ISSN 2184-3236, SciTePress, pages 13-21. DOI: 10.5220/0010016900130021

@conference{icsports20,
author={Steven Verstockt. and Alec {Van den broeck}. and Brecht {Van Vooren}. and Simon {De Smul}. and Jelle {De Bock}.},
title={Data-driven Summarization of Broadcasted Cycling Races by Automatic Team and Rider Recognition},
booktitle={Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support - icSPORTS},
year={2020},
pages={13-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010016900130021},
isbn={978-989-758-481-7},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support - icSPORTS
TI - Data-driven Summarization of Broadcasted Cycling Races by Automatic Team and Rider Recognition
SN - 978-989-758-481-7
IS - 2184-3236
AU - Verstockt, S.
AU - Van den broeck, A.
AU - Van Vooren, B.
AU - De Smul, S.
AU - De Bock, J.
PY - 2020
SP - 13
EP - 21
DO - 10.5220/0010016900130021
PB - SciTePress

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