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Conference Papers Year : 2021

Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020

Abstract

Fine grained action classification has raised new challenges compared to classical action classification problem. Sport video analysis is a very popular research topic, due to the variety of application areas, ranging from multimedia intelligent devices with user-tailored digests, up to analysis of athletes' performances. Running since 2019 as a part of MediaEval, we offer a task which consists in classifying table tennis strokes from videos recorded in natural conditions at the University of Bordeaux. The aim is to build tools for teachers, coaches and players to analyse table tennis games. Such tools could lead to an automatic profiling of the player and the training session could then be adapted for improving sports skills more efficiently.
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Dates and versions

hal-03104270 , version 1 (08-01-2021)

Identifiers

  • HAL Id : hal-03104270 , version 1

Cite

Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, et al.. Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020. MediaEval 2020 Workshop, Jan 2021, Online, Unknown Region. ⟨hal-03104270⟩

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