mlsanityData to 13 Oct 2026

Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021

arXiv 2112.11384 ↗First posted 16 Dec 2021cs.CV cs.AI cs.LGcited by 2

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Abstract (arXiv)

Sports video analysis is a prevalent research topic due to the variety of application areas, ranging from multimedia intelligent devices with user-tailored digests up to analysis of athletes' performance. The Sports Video task is part of the MediaEval 2021 benchmark. This task tackles fine-grained action detection and classification from videos. The focus is on recordings of table tennis games. Running since 2019, the task has offered a classification challenge from untrimmed video recorded in natural conditions with known temporal boundaries for each stroke. This year, the dataset is extended and offers, in addition, a detection challenge from untrimmed videos without annotations. This work aims at creating tools for sports coaches and players in order to analyze sports performance. Movement analysis and player profiling may be built upon such technology to enrich the training experience of athletes and improve their performance.

Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). Builds on 12 of its 29 references that are in the map. First posted on arXiv 16 Dec 2021.

Builds on

12 of 29 references.

References · 12

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,550
  2. 2017Quo Vadis, Action Recognition? A New Model and the Kinetics Datasetcited by 3,264
  3. 2017The Kinetics Human Action Video Datasetcited by 1,900
  4. 2017AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actionscited by 449
  5. 2018A Short Note about Kinetics-600cited by 332
  6. 2019A Short Note on the Kinetics-700 Human Action Datasetcited by 309
  7. 2020FineGym: A Hierarchical Video Dataset for Fine-grained Action Understandingcited by 232
  8. 2020A Short Note on the Kinetics-700-2020 Human Action Datasetcited by 89
  9. 2016Long-term Temporal Convolutions for Action Recognitioncited by 84
  10. 2020The AVA-Kinetics Localized Human Actions Video Datasetcited by 82
  11. 2020TTNet: Real-time temporal and spatial video analysis of table tenniscited by 35
  12. 2018Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimmingcited by 9

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Cited by year

Citing papers per year: 2022: 1; 2023: 1.

2 papers.

  1. 2022A Survey on Video Action Recognition in Sports: Datasets, Methods and Applicationscited by 27
  2. 2023Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022cited by 2