Deep learning-based action detection in untrimmed videos: A survey

E Vahdani, Y Tian - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
Understanding human behavior and activity facilitates advancement of numerous real-world
applications, and is critical for video analysis. Despite the progress of action recognition …

Use of deep learning in soccer videos analysis: survey

S Akan, S Varlı - Multimedia Systems, 2023 - Springer
The demand for video analysis has been rapidly increasing in the last decade. Video
analysis plays a critical role in various technologies, including medical diagnosis, security …

Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos

A Deliege, A Cioppa, S Giancola… - Proceedings of the …, 2021 - openaccess.thecvf.com
Understanding broadcast videos is a challenging task in computer vision, as it requires
generic reasoning capabilities to appreciate the content offered by the video editing. In this …

SoccerNet-Depth: a scalable dataset for monocular depth estimation in sports videos

A Leduc, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Monocular Depth Estimation (MDE) is fundamental in sports video understanding
enhancing augmented graphics scene understanding and game state reconstruction …

Beyond the Premier: Assessing action spotting transfer capability across diverse domains

B Cabado, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
Football stands as one of the most successful sports in history thanks to the plethora of
professional leagues broadcasted worldwide followed by avid fans further fueled by the …

Scaling up SoccerNet with multi-view spatial localization and re-identification

A Cioppa, A Deliege, S Giancola, B Ghanem… - Scientific data, 2022 - nature.com
Soccer videos are a rich playground for computer vision, involving many elements, such as
players, lines, and specific objects. Hence, to capture the richness of this sport and allow for …

SoccerNet game state reconstruction: End-to-end athlete tracking and identification on a minimap

V Somers, V Joos, A Cioppa… - Proceedings of the …, 2024 - openaccess.thecvf.com
Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …

SoccerNet-caption: Dense video captioning for soccer broadcasts commentaries

H Mkhallati, A Cioppa, S Giancola… - Proceedings of the …, 2023 - openaccess.thecvf.com
Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …

VARS: Video assistant referee system for automated soccer decision making from multiple views

J Held, A Cioppa, S Giancola… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract The Video Assistant Referee (VAR) has revolutionized association football,
enabling referees to review incidents on the pitch, make informed decisions, and ensure …

Camera calibration and player localization in soccernet-v2 and investigation of their representations for action spotting

A Cioppa, A Deliege, F Magera… - Proceedings of the …, 2021 - openaccess.thecvf.com
Soccer broadcast video understanding has been drawing a lot of attention in recent years
within data scientists and industrial companies. This is mainly due to the lucrative potential …