{"id":"https://openalex.org/W2980858082","doi":"https://doi.org/10.1145/3347318.3355515","title":"Video-based Analysis of Soccer Matches","display_name":"Video-based Analysis of Soccer Matches","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2980858082","doi":"https://doi.org/10.1145/3347318.3355515","mag":"2980858082"},"language":"en","primary_location":{"id":"doi:10.1145/3347318.3355515","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347318.3355515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.04875","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Maximilian T. Fischer","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian T. Fischer","raw_affiliation_strings":["University of Konstanz, , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, , Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daniel A. Keim","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel A. Keim","raw_affiliation_strings":["University of Konstanz, , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, , Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":null,"display_name":"Manuel Stein","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manuel Stein","raw_affiliation_strings":["University of Konstanz, , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, , Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6101,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73018722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5856999754905701},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5706999897956848},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.48590001463890076},{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.3971000015735626},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.35089999437332153},{"id":"https://openalex.org/keywords/video-recording","display_name":"Video recording","score":0.3393000066280365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985999703407288},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5856999754905701},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5706999897956848},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.387800008058548},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.35089999437332153},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33959999680519104},{"id":"https://openalex.org/C2988634675","wikidata":"https://www.wikidata.org/wiki/Q34508","display_name":"Video recording","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3257000148296356},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3347318.3355515","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347318.3355515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.04875","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.04875","pdf_url":"https://arxiv.org/pdf/2105.04875","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/47355","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-11219g97n2gp18","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports : MMSports '19. - New York, NY : ACM Press, 2019. - S. 1-9. - ISBN 978-1-4503-6911-4","raw_type":"doc-type:conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.04875","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.04875","pdf_url":"https://arxiv.org/pdf/2105.04875","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2101006788","https://openalex.org/W2112432964","https://openalex.org/W2119111481","https://openalex.org/W2120093678","https://openalex.org/W2125564169","https://openalex.org/W2151530263","https://openalex.org/W2157358983","https://openalex.org/W2526606153","https://openalex.org/W2576546729","https://openalex.org/W2609286783","https://openalex.org/W2610058369","https://openalex.org/W2746779550","https://openalex.org/W2753693229","https://openalex.org/W2853934102","https://openalex.org/W2901014587","https://openalex.org/W2918455484"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,76,91,95,104,109],"increasingly":[2],"detailed":[3],"investigation":[4],"of":[5,43,79,90,99,108],"game":[6],"play":[7],"and":[8,26,49,54,88,106,114],"tactics":[9],"in":[10,28,67,135],"invasive":[11],"team":[12],"sports":[13],"such":[14],"as":[15],"soccer,":[16],"it":[17],"becomes":[18],"ever":[19],"more":[20,126],"important":[21],"to":[22,75,122],"present":[23],"causes,":[24],"actions":[25],"findings":[27],"a":[29,40,44,85],"meaningful":[30],"manner.":[31],"Visualizations,":[32],"especially":[33],"when":[34],"augmenting":[35],"relevant":[36],"information":[37],"directly":[38,73],"inside":[39],"video":[41],"recording":[42],"match,":[45],"can":[46],"significantly":[47],"improve":[48],"simplify":[50],"soccer":[51,63,80,100],"match":[52],"preparation":[53],"tactic":[55],"planning.":[56],"However,":[57],"while":[58],"many":[59],"visualization":[60],"techniques":[61],"for":[62,94],"have":[64,71],"been":[65,72],"developed":[66,93],"recent":[68],"years,":[69],"few":[70],"applied":[74],"video-based":[77,96],"analysis":[78,98,131],"matches.":[81,101],"This":[82],"paper":[83],"provides":[84],"comprehensive":[86],"overview":[87],"categorization":[89],"methods":[92],"visual":[97],"While":[102],"identifying":[103],"advantages":[105],"disadvantages":[107],"individual":[110],"approaches,":[111],"we":[112],"identify":[113,133],"discuss":[115],"open":[116],"research":[117],"questions,":[118],"soon":[119],"enabling":[120],"analysts":[121],"develop":[123],"winning":[124],"strategies":[125],"efficiently,":[127],"do":[128],"rapid":[129],"failure":[130],"or":[132],"weaknesses":[134],"opposing":[136],"teams.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-10-25T00:00:00"}
