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SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
Mkhallati, Hassan; Cioppa, Anthony; Giancola, Silvio et al.
2023IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Peer reviewed
 

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Keywords :
Computer Science - Computer Vision and Pattern Recognition; Soccer; SoccerNet; Video captioning; Sports; Sport; Deep learning; Language; Football
Abstract :
[en] 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 moment of a soccer match is a thrill. Yet, with so many games happening simultaneously, fans cannot watch them all live. Notifications for main actions can help, but lack the engagement of live commentary, leaving fans feeling disconnected. To fulfill this need, we propose in this paper a novel task of dense video captioning focusing on the generation of textual commentaries anchored with single timestamps. To support this task, we additionally present a challenging dataset consisting of almost 37k timestamped commentaries across 715.9 hours of soccer broadcast videos. Additionally, we propose a first benchmark and baseline for this task, highlighting the difficulty of temporally anchoring commentaries yet showing the capacity to generate meaningful commentaries. By providing broadcasters with a tool to summarize the content of their video with the same level of engagement as a live game, our method could help satisfy the needs of the numerous fans who follow their team but cannot necessarily watch the live game. We believe our method has the potential to enhance the accessibility and understanding of soccer content for a wider audience, bringing the excitement of the game to more people.
Research center :
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège
Telim
Disciplines :
Electrical & electronics engineering
Author, co-author :
Mkhallati, Hassan 
Cioppa, Anthony  ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Giancola, Silvio 
Ghanem, Bernard
Van Droogenbroeck, Marc  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Télécommunications
 These authors have contributed equally to this work.
Language :
English
Title :
SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
Publication date :
June 2023
Event name :
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Event organizer :
IEEE
Event place :
Vancouver, Canada
Event date :
du 17 au 24 juin 2023
Audience :
International
Peer reviewed :
Peer reviewed
Source :
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 11 April 2023

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