Video-based Analysis of Soccer Matches

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FISCHER, Maximilian T., Daniel A. KEIM, Manuel STEIN, 2019. Video-based Analysis of Soccer Matches. MMSports '19 : 2nd International Workshop on Multimedia Content Analysis in Sports. Nice, France, Oct 25, 2019. In: Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports : MMSports '19. New York, NY:ACM Press, pp. 1-9. ISBN 978-1-4503-6911-4. Available under: doi: 10.1145/3347318.3355515

@inproceedings{Fischer2019Video-47355, title={Video-based Analysis of Soccer Matches}, year={2019}, doi={10.1145/3347318.3355515}, isbn={978-1-4503-6911-4}, address={New York, NY}, publisher={ACM Press}, booktitle={Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports : MMSports '19}, pages={1--9}, author={Fischer, Maximilian T. and Keim, Daniel A. and Stein, Manuel} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:language>eng</dc:language> <dcterms:rights rdf:resource=""/> <dspace:hasBitstream rdf:resource=""/> <dcterms:isPartOf rdf:resource=""/> <dc:creator>Fischer, Maximilian T.</dc:creator> <dcterms:title>Video-based Analysis of Soccer Matches</dcterms:title> <dc:creator>Stein, Manuel</dc:creator> <dcterms:abstract xml:lang="eng">With the increasingly detailed investigation of game play and tactics in invasive team sports such as soccer, it becomes ever more important to present causes, actions and findings in a meaningful manner. Visualizations, especially when augmenting relevant information directly inside a video recording of a match, can significantly improve and simplify soccer match preparation and tactic planning. However, while many visualization techniques for soccer have been developed in recent years, few have been directly applied to the video-based analysis of soccer matches. This paper provides a comprehensive overview and categorization of the methods developed for the video-based visual analysis of soccer matches. While identifying the advantages and disadvantages of the individual approaches, we identify and discuss open research questions, soon enabling analysts to develop winning strategies more efficiently, do rapid failure analysis or identify weaknesses in opposing teams.</dcterms:abstract> <dcterms:issued>2019</dcterms:issued> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Stein, Manuel</dc:contributor> <dc:contributor>Fischer, Maximilian T.</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dc:creator>Keim, Daniel A.</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:date rdf:datatype="">2019-11-05T16:13:48Z</dc:date> <dcterms:available rdf:datatype="">2019-11-05T16:13:48Z</dcterms:available> <bibo:uri rdf:resource=""/> <dcterms:hasPart rdf:resource=""/> <dc:contributor>Keim, Daniel A.</dc:contributor> </rdf:Description> </rdf:RDF>

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