abstract

MMSports'22: 5th International ACM Workshop on Multimedia Content Analysis in Sports

Authors:

Hideo Saito,

Thomas B. Moeslund,

Rainer LienhartAuthors Info & Claims

MM '22: Proceedings of the 30th ACM International Conference on Multimedia

Pages 7386 - 7388

https://doi.org/10.1145/3503161.3551791

Published: 10 October 2022 Publication History

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Abstract

The fifth ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports'22) is part of the ACM International Conference on Multimedia 2022 (ACM Multimedia 2022). After two years of pure virtual MMSports workshops due to COVID-19, MMSports'22 is held on-site again. The goal of this workshop is to bring together researchers and practitioners from academia and industry to address challenges and report progress in mining, analyzing, understanding, and visualizing multimedia/multimodal data in sports, sports broadcasts, sports games and sports medicine. The combination of sports and modern technology offers a novel and intriguing field of research with promising approaches for visual broadcast augmentation and understanding, for statistical analysis and evaluation, and for sensor fusion during workouts as well as competitions. There is a lack of research communities focusing on the fusion of multiple modalities. We are helping to close this research gap with this workshop series on multimedia content analysis in sports. Related Workshop Proceedings are available in the ACM DL at: https://dl.acm.org/doi/proceedings/10.1145/3552437.

Cited By

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Li QHuang XChen HHe FChen QWang ZCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Advancing Micro-Action Recognition with Multi-Auxiliary Heads and Hybrid Loss OptimizationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688975(11313-11319)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688975
Li QHuang XLuo YHu XSun XWang ZChen JWang WJeon G(2023)Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream NetworkProceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering10.1145/3606042.3616458(65-70)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3606042.3616458
Li QHuang XWan ZHu LWu SZhang JShan SWang ZEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Data-Efficient Masked Video Modeling for Self-supervised Action RecognitionProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612496(2723-2733)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3612496

Index Terms

MMSports'22: 5th International ACM Workshop on Multimedia Content Analysis in Sports
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Graphics systems and interfaces
2. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Published In

MM '22: Proceedings of the 30th ACM International Conference on Multimedia

October 2022

7537 pages

ISBN:9781450392037

DOI:10.1145/3503161

General Chairs:
João Magalhães
NOVA University of Lisbon, Portugal
,
Alberto del Bimbo
University of Florence, Italy
,
Shin'ichi Satoh
National Institute of Informatics, Japan
,
Nicu Sebe
University of Trento, Italy
,
Program Chairs:
Xavier Alameda-Pineda
Inria, Grenoble, France
,
Qin Jin
Renmin University of China, China
,
Vincent Oria
New Jersey Institute of Technology, USA
,
Laura Toni
University College London, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 10 October 2022

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MM '22

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SIGMM

MM '22: The 30th ACM International Conference on Multimedia

October 10 - 14, 2022

Lisboa, Portugal

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Li QHuang XChen HHe FChen QWang ZCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Advancing Micro-Action Recognition with Multi-Auxiliary Heads and Hybrid Loss OptimizationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688975(11313-11319)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688975
Li QHuang XLuo YHu XSun XWang ZChen JWang WJeon G(2023)Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream NetworkProceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering10.1145/3606042.3616458(65-70)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3606042.3616458
Li QHuang XWan ZHu LWu SZhang JShan SWang ZEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Data-Efficient Masked Video Modeling for Self-supervised Action RecognitionProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612496(2723-2733)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3612496

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MMSports '23: 6th International Workshop on Multimedia Content Analysis in Sports

MMSports'21: 4th International Workshop on Multimedia Content Analysis in Sports

MMSports'20: 3rd International Workshop on Multimedia Content Analysis in Sports

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