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dc.identifier.uri http://dx.doi.org/10.15488/17054
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/17182
dc.contributor.author Giancola, Silvio
dc.contributor.author Cioppa, Anthony
dc.contributor.author Deliège, Adrien
dc.contributor.author Magera, Floriane
dc.contributor.author Somers, Vladimir
dc.contributor.author Kang, Le
dc.contributor.author Zhou, Xin
dc.contributor.author Barnich, Olivier
dc.contributor.author De Vleeschouwer, Christophe
dc.contributor.author Alahi, Alexandre
dc.contributor.author Ghanem, Bernard
dc.contributor.author Van Droogenbroeck, Marc
dc.contributor.author Darwish, Abdulrahman
dc.contributor.author Maglo, Adrien
dc.contributor.author Clapés, Albert
dc.contributor.author Luyts, Andreas
dc.contributor.author Boiarov, Andrei
dc.contributor.author Xarles, Artur
dc.contributor.author Orcesi, Astrid
dc.contributor.author Shah, Avijit
dc.contributor.author Fan, Baoyu
dc.contributor.author Comandur, Bharath
dc.contributor.author Chen, Chen
dc.contributor.author Zhang, Chen
dc.contributor.author Zhao, Chen
dc.contributor.author Lin, Chengzhi
dc.contributor.author Chan, Cheuk-Yiu
dc.contributor.author Hui, Chun Chuen
dc.contributor.author Li, Dengjie
dc.contributor.author Yang, Fan
dc.contributor.author Liang, Fan
dc.contributor.author Da, Fang
dc.contributor.author Yan, Feng
dc.contributor.author Yu, Fufu
dc.contributor.author Wang, Guanshuo
dc.contributor.author Chan, H. Anthony
dc.contributor.author Zhu, He
dc.contributor.author Kan, Hongwei
dc.contributor.author Chu, Jiaming
dc.contributor.author Hu, Jianming
dc.contributor.author Gu, Jianyang
dc.contributor.author Chen, Jin
dc.contributor.author Soares, João V. B.
dc.contributor.author Theiner, Jonas
dc.contributor.author De Corte, Jorge
dc.contributor.author Brito, José Henrique
dc.contributor.author Zhang, Jun
dc.contributor.author Li, Junjie
dc.contributor.author Liang, Junwei
dc.contributor.author Shen, Leqi
dc.contributor.author Ma, Lin
dc.contributor.author Chen, Lingchi
dc.contributor.author Santos Marques, Miguel
dc.contributor.author Azatov, Mike
dc.contributor.author Kasatkin, Nikita
dc.contributor.author Wang, Ning
dc.contributor.author Jia, Qiong
dc.contributor.author Pham, Quoc Cuong
dc.contributor.author Ewerth, Ralph
dc.contributor.author Song, Ran
dc.contributor.author Li, Rengang
dc.contributor.author Gade, Rikke
dc.contributor.author Debien, Ruben
dc.contributor.author Zhang, Runze
dc.contributor.author Lee, Sangrok
dc.contributor.author Escalera, Sergio
dc.contributor.author Jiang, Shan
dc.contributor.author Odashima, Shigeyuki
dc.contributor.author Chen, Shimin
dc.contributor.author Masui, Shoichi
dc.contributor.author Ding, Shouhong
dc.contributor.author Chan, Sin-wai
dc.contributor.author Chen, Siyu
dc.contributor.author El-Shabrawy, Tallal
dc.contributor.author He, Tao
dc.contributor.author Moeslund, Thomas B.
dc.contributor.author Siu, Wan-Chi
dc.contributor.author Zhang, Wei
dc.contributor.author Li, Wei
dc.contributor.author Wang, Xiangwei
dc.contributor.author Tan, Xiao
dc.contributor.author Li, Xiaochuan
dc.contributor.author Wei, Xiaolin
dc.contributor.author Ye, Xiaoqing
dc.contributor.author Liu, Xing
dc.contributor.author Wang, Xinying
dc.contributor.author Guo, Yandong
dc.contributor.author Zhao, Yaqian
dc.contributor.author Yu, Yi
dc.contributor.author Li, Yingying
dc.contributor.author He, Yue
dc.contributor.author Zhong, Yujie
dc.contributor.author Guo, Zhenhua
dc.contributor.author Li, Zhiheng
dc.date.accessioned 2024-04-15T12:33:04Z
dc.date.available 2024-04-15T12:33:04Z
dc.date.issued 2022
dc.identifier.citation Giancola, S.; Cioppa, A.; Deliège, A.; Magera, F.; Somers, V. et al.: SoccerNet 2022 Challenges Results. In: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports. New York, NY : Association for Computing Machinery, 2022, S. 75-86. DOI: https://doi.org/10.1145/3552437.3558545
dc.description.abstract The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on https://www.soccer-net.org. Baselines and development kits are available on https://github.com/SoccerNet. eng
dc.language.iso eng
dc.publisher New York, NY : Association for Computing Machinery
dc.relation.ispartof Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject challenges eng
dc.subject computer vision eng
dc.subject datasets eng
dc.subject neural networks eng
dc.subject soccer eng
dc.subject video understanding eng
dc.subject.classification Konferenzschrift ger
dc.title SoccerNet 2022 Challenges Results eng
dc.type BookPart
dc.type Text
dc.relation.isbn 978-1-4503-9488-8
dc.relation.doi https://doi.org/10.1145/3552437.3558545
dc.bibliographicCitation.firstPage 75
dc.bibliographicCitation.lastPage 86
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich


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