Director's Cut : Analysis and Annotation of Soccer Matches

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STEIN, Manuel, Halldor JANETZKO, Thorsten BREITKREUTZ, Daniel SEEBACHER, Tobias SCHRECK, Michael GROSSNIKLAUS, Iain D. COUZIN, Daniel A. KEIM, 2016. Director's Cut : Analysis and Annotation of Soccer Matches. In: IEEE Computer Graphics and Applications. 36(5), pp. 50-60. ISSN 0272-1716. eISSN 1558-1756

@article{Stein2016-09Direc-35829, title={Director's Cut : Analysis and Annotation of Soccer Matches}, year={2016}, doi={10.1109/MCG.2016.102}, number={5}, volume={36}, issn={0272-1716}, journal={IEEE Computer Graphics and Applications}, pages={50--60}, author={Stein, Manuel and Janetzko, Halldor and Breitkreutz, Thorsten and Seebacher, Daniel and Schreck, Tobias and Grossniklaus, Michael and Couzin, Iain D. and Keim, Daniel A.} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/35829"> <dc:creator>Couzin, Iain D.</dc:creator> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:creator>Grossniklaus, Michael</dc:creator> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <dcterms:title>Director's Cut : Analysis and Annotation of Soccer Matches</dcterms:title> <dc:creator>Breitkreutz, Thorsten</dc:creator> <dc:creator>Stein, Manuel</dc:creator> <dc:creator>Schreck, Tobias</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-11-04T10:39:09Z</dc:date> <dcterms:abstract xml:lang="eng">For development and alignment of tactics and strategies, professional soccer analysts spend up to three working days manually analyzing and annotating professional soccer matches. In an effort to improve soccer player and match analysis, a visual-interactive and data-analysis support system focuses on key situations by using rule-based filtering and automatically annotating key types of soccer match elements. The authors evaluate the proposed approach by analyzing real-world soccer matches and several expert studies. Quantitative measures show the proposed methods can significantly outperform naive solutions.</dcterms:abstract> <dc:creator>Seebacher, Daniel</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/35829"/> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-11-04T10:39:09Z</dcterms:available> <dc:contributor>Grossniklaus, Michael</dc:contributor> <dc:contributor>Breitkreutz, Thorsten</dc:contributor> <dcterms:issued>2016-09</dcterms:issued> <dc:contributor>Seebacher, Daniel</dc:contributor> <dc:creator>Janetzko, Halldor</dc:creator> <dc:contributor>Schreck, Tobias</dc:contributor> <dc:contributor>Couzin, Iain D.</dc:contributor> <dc:language>eng</dc:language> <dc:contributor>Janetzko, Halldor</dc:contributor> <dc:contributor>Stein, Manuel</dc:contributor> </rdf:Description> </rdf:RDF>

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