{"id":"https://openalex.org/W1998972586","doi":"https://doi.org/10.1145/1734605.1734646","title":"Discovering tactics in broadcast sports video with trajectories","display_name":"Discovering tactics in broadcast sports video with trajectories","publication_year":2009,"publication_date":"2009-11-23","ids":{"openalex":"https://openalex.org/W1998972586","doi":"https://doi.org/10.1145/1734605.1734646","mag":"1998972586"},"language":"en","primary_location":{"id":"doi:10.1145/1734605.1734646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1734605.1734646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100388225","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-8167-5872"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Chinese Academy of Sciences , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences , Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074542180","display_name":"Guangyu Zhu","orcid":"https://orcid.org/0000-0001-9591-7564"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guangyu Zhu","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Chinese Academy of Sciences , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences , Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07023886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"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/T11309","display_name":"Music and Audio Processing","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8057119250297546},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6197571754455566},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5696749687194824},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5233128070831299},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5166547894477844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48041772842407227},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37985700368881226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37437358498573303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3215288817882538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057119250297546},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6197571754455566},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5696749687194824},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5233128070831299},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5166547894477844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48041772842407227},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37985700368881226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37437358498573303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3215288817882538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1734605.1734646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1734605.1734646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/69972","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/69972","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2250611080","display_name":null,"funder_award_id":"NRF2008IDMIDM004-029","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W113257341","https://openalex.org/W1484830317","https://openalex.org/W1590804165","https://openalex.org/W1597504361","https://openalex.org/W2066802645","https://openalex.org/W2118371392","https://openalex.org/W2146982804","https://openalex.org/W2147880780","https://openalex.org/W2149839055"],"related_works":["https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W4365793569","https://openalex.org/W2389991515","https://openalex.org/W2050706403","https://openalex.org/W2395120299","https://openalex.org/W2499438468","https://openalex.org/W2479744187","https://openalex.org/W2360523411"],"abstract_inverted_index":{"Unlike":[0],"traditional":[1],"audience":[2],"oriented":[3],"semantic":[4],"analysis":[5,10],"in":[6,25,55,58,76,140],"sports":[7,79,143],"video,":[8],"tactic":[9,45,104],"aims":[11],"to":[12,16,52,72,95,117],"assist":[13],"the":[14,26,59,74,77,84,91,119,123,126,132],"professionals":[15],"improve":[17],"their":[18],"training":[19],"performance":[20],"and":[21,31,35,100],"adopt":[22],"proper":[23],"tactics":[24,54,120,137],"game.":[27],"Trajectories":[28],"of":[29,87,90,125],"ball":[30],"players":[32],"contain":[33],"temporal":[34],"spatial":[36],"motion":[37],"information,":[38],"which":[39],"is":[40,67,93,115],"a":[41,49,108],"representative":[42],"feature":[43],"for":[44,69],"analysis.":[46],"We":[47],"propose":[48],"generic":[50],"scheme":[51],"discover":[53],"classified":[56,127],"trajectories":[57,66,92,102],"same":[60],"events.":[61],"Local":[62],"similarity":[63],"measurement":[64],"between":[65],"developed":[68],"trajectory":[70],"matching":[71],"reduce":[73],"noise":[75],"broadcast":[78,142],"video.":[80],"Transductive":[81],"classifier":[82],"with":[83,97],"learnt":[85],"bias":[86],"low-level":[88],"features":[89],"introduced":[94],"deal":[96],"different":[98,141],"games":[99],"classify":[101],"into":[103],"events":[105],"only":[106],"using":[107],"small":[109],"labeled":[110],"dataset.":[111],"Frequent":[112],"pattern":[113],"mining":[114],"employed":[116],"find":[118],"based":[121],"on":[122],"subsequences":[124],"trajectories.":[128],"Experiments":[129],"show":[130],"that":[131],"proposed":[133],"approach":[134],"achieves":[135],"promising":[136],"discovery":[138],"results":[139],"game":[144],"videos.":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
