Publikation:

Video-based Analysis of Soccer Matches

Lade...
Vorschaubild

Dateien

Fischer_2-11219g97n2gp18.pdf
Fischer_2-11219g97n2gp18.pdfGröße: 265.63 KBDownloads: 556

Datum

2019

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports : MMSports '19. New York, NY: ACM Press, 2019, pp. 1-9. ISBN 978-1-4503-6911-4. Available under: doi: 10.1145/3347318.3355515

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

visual analytics; information visualization; sports analytics; soccer analysis; immersive analytics

Konferenz

MMSports '19 : 2nd International Workshop on Multimedia Content Analysis in Sports, 25. Okt. 2019, Nice, France
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690FISCHER, 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, 25. Okt. 2019. In: Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports : MMSports '19. New York, NY: ACM Press, 2019, pp. 1-9. ISBN 978-1-4503-6911-4. Available under: doi: 10.1145/3347318.3355515
BibTex
@inproceedings{Fischer2019Video-47355,
  year={2019},
  doi={10.1145/3347318.3355515},
  title={Video-based Analysis of Soccer Matches},
  isbn={978-1-4503-6911-4},
  publisher={ACM Press},
  address={New York, NY},
  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:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/47355">
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:contributor>Stein, Manuel</dc:contributor>
    <dc:creator>Fischer, Maximilian T.</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-11-05T16:13:48Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:rights>terms-of-use</dc:rights>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/47355"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/47355/1/Fischer_2-11219g97n2gp18.pdf"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Fischer, Maximilian T.</dc:contributor>
    <dcterms:title>Video-based Analysis of Soccer Matches</dcterms:title>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-11-05T16:13:48Z</dc:date>
    <dcterms:issued>2019</dcterms:issued>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/47355/1/Fischer_2-11219g97n2gp18.pdf"/>
    <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>
    <dc:language>eng</dc:language>
    <dc:creator>Stein, Manuel</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen