{"id":"https://openalex.org/W4283374054","doi":"https://doi.org/10.1145/3534678.3539150","title":"SoccerCPD","display_name":"SoccerCPD","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4283374054","doi":"https://doi.org/10.1145/3534678.3539150"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539150","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.10926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100672200","display_name":"Hyunsung Kim","orcid":"https://orcid.org/0000-0002-6286-5160"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hyunsung Kim","raw_affiliation_strings":["Fitogether Inc., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Fitogether Inc., Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113694432","display_name":"B.-S. KIM","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bit Kim","raw_affiliation_strings":["Fitogether Inc., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Fitogether Inc., Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074952373","display_name":"Dongwook Chung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongwook Chung","raw_affiliation_strings":["Fitogether Inc., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Fitogether Inc., Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002289527","display_name":"Jinsung Yoon","orcid":"https://orcid.org/0000-0002-5481-5171"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinsung Yoon","raw_affiliation_strings":["Fitogether Inc., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Fitogether Inc., Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011019318","display_name":"Sang\u2010Ki Ko","orcid":"https://orcid.org/0000-0002-5406-5104"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Ki Ko","raw_affiliation_strings":["Kangwon National University & Fitogether Inc., Chuncheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kangwon National University & Fitogether Inc., Chuncheon, Republic of Korea","institution_ids":["https://openalex.org/I165507594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100672200"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3917,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.97637051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3146","last_page":"3156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7660412788391113},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7378953099250793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324585914611816},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6558876633644104},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6330928802490234},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6303483247756958},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5599138140678406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123625993728638},{"id":"https://openalex.org/keywords/basketball","display_name":"Basketball","score":0.4718579947948456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.329933762550354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31053799390792847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1469995677471161},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06925490498542786}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7660412788391113},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7378953099250793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324585914611816},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6558876633644104},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6330928802490234},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6303483247756958},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5599138140678406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123625993728638},{"id":"https://openalex.org/C103189561","wikidata":"https://www.wikidata.org/wiki/Q5372","display_name":"Basketball","level":2,"score":0.4718579947948456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.329933762550354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31053799390792847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1469995677471161},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06925490498542786},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3534678.3539150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539150","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.10926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.10926","pdf_url":"https://arxiv.org/pdf/2206.10926","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.10926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.10926","pdf_url":"https://arxiv.org/pdf/2206.10926","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":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G8479831964","display_name":null,"funder_award_id":"2020R1F1A1073451 and 2020R1A4A3079947","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1974977139","https://openalex.org/W2001529954","https://openalex.org/W2038102631","https://openalex.org/W2041797434","https://openalex.org/W2059096325","https://openalex.org/W2105009836","https://openalex.org/W2106463809","https://openalex.org/W2138200903","https://openalex.org/W2159533779","https://openalex.org/W2222512263","https://openalex.org/W2300952257","https://openalex.org/W2335396666","https://openalex.org/W2514295870","https://openalex.org/W2515822248","https://openalex.org/W2545266867","https://openalex.org/W2746779550","https://openalex.org/W2788064059","https://openalex.org/W2888032845","https://openalex.org/W2963554411","https://openalex.org/W6600612351"],"related_works":["https://openalex.org/W2369330680","https://openalex.org/W2387007275","https://openalex.org/W2389047293","https://openalex.org/W2348951541","https://openalex.org/W2363923555","https://openalex.org/W2379277877","https://openalex.org/W2359223739","https://openalex.org/W2377467184","https://openalex.org/W2375049945","https://openalex.org/W2356570223"],"abstract_inverted_index":{"In":[0],"fluid":[1],"team":[2,10,34],"sports":[3],"such":[4],"as":[5],"soccer":[6,74],"and":[7,67,83,99,134,138,154],"basketball,":[8],"analyzing":[9],"formation":[11,35,66,89,137],"is":[12,36],"one":[13],"of":[14,26,96,108,113,131],"the":[15,94,106,116,129,136],"most":[16],"intuitive":[17],"ways":[18],"to":[19,80],"understand":[20],"tactics":[21],"from":[22,70],"domain":[23,121,149],"participants'":[24],"point":[25],"view.":[27],"However,":[28],"existing":[29],"approaches":[30],"either":[31],"assume":[32],"that":[33,62,124,148],"consistent":[37],"throughout":[38],"a":[39,56],"match":[40],"or":[41],"assign":[42,78],"formations":[43],"frame-by-frame,":[44],"which":[45],"disagree":[46],"with":[47],"real":[48],"situations.":[49],"To":[50],"tackle":[51],"this":[52],"issue,":[53],"we":[54,144],"propose":[55],"change-point":[57,86,90,102],"detection":[58,91,103],"framework":[59],"named":[60],"SoccerCPD":[61,114],"distinguishes":[63],"tactically":[64],"intended":[65],"role":[68,101,109,139],"changes":[69,72,133],"temporary":[71],"in":[73],"matches.":[75],"We":[76],"first":[77],"roles":[79],"players":[81],"frame-by-frame":[82],"perform":[84],"two-step":[85],"detections:":[87],"(1)":[88],"based":[92,104],"on":[93,105],"sequence":[95,107],"role-adjacency":[97],"matrices":[98],"(2)":[100],"permutations.":[110],"The":[111],"evaluation":[112],"using":[115],"ground":[117],"truth":[118],"annotated":[119],"by":[120],"experts":[122],"shows":[123],"our":[125],"method":[126],"accurately":[127],"detects":[128],"points":[130],"tactical":[132],"estimates":[135],"assignment":[140],"per":[141],"segment.":[142],"Lastly,":[143],"introduce":[145],"practical":[146],"use-cases":[147],"participants":[150],"can":[151],"easily":[152],"interpret":[153],"utilize.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2022-06-25T00:00:00"}