SoccerNet 2022 Challenges Results

Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit ShahBaoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V.B. Soares, Jonas Theiner, Jorge De Corte, Ning Wang, Wei Zhang, Wei Li, Xing Liu, Yi Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationMMSports 2022 - Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports
PublisherAssociation for Computing Machinery, Inc
Pages75-86
Number of pages12
ISBN (Electronic)9781450394888
DOIs
StatePublished - Oct 14 2022
Event5th ACM International Workshop on Multimedia Content Analysis in Sports, MMSports 2022, co-located with ACM Multimedia 2022 - Lisboa, Portugal
Duration: Oct 14 2022 → …

Publication series

NameMMSports 2022 - Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports

Conference

Conference5th ACM International Workshop on Multimedia Content Analysis in Sports, MMSports 2022, co-located with ACM Multimedia 2022
Country/TerritoryPortugal
CityLisboa
Period10/14/22 → …

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Keywords

  • challenges
  • computer vision
  • datasets
  • neural networks
  • soccer
  • video understanding

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software
  • Media Technology

Fingerprint

Dive into the research topics of 'SoccerNet 2022 Challenges Results'. Together they form a unique fingerprint.

Cite this