{"id":"https://openalex.org/W2752297012","doi":"https://doi.org/10.1109/snpd.2018.8441034","title":"Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks","display_name":"Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2752297012","doi":"https://doi.org/10.1109/snpd.2018.8441034","mag":"2752297012"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2018.8441034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2018.8441034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.01421","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045231532","display_name":"Konstantin Sozykin","orcid":"https://orcid.org/0000-0003-3321-7399"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Konstantin Sozykin","raw_affiliation_strings":["Institute of Robotics, Innopolis University, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Robotics, Innopolis University, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005135344","display_name":"Stanislav Protasov","orcid":"https://orcid.org/0000-0001-5404-2773"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Stanislav Protasov","raw_affiliation_strings":["Institute of Robotics, Innopolis University, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Robotics, Innopolis University, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070522496","display_name":"Adil Khan","orcid":"https://orcid.org/0000-0003-2220-8518"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Adil Khan","raw_affiliation_strings":["Institute of Robotics, Innopolis University, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Robotics, Innopolis University, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090705977","display_name":"Rasheed Hussain","orcid":"https://orcid.org/0000-0002-3771-7537"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Rasheed Hussain","raw_affiliation_strings":["Institute of Information Systems, Innopolis University, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, Innopolis University, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401542","display_name":"Jooyoung Lee","orcid":"https://orcid.org/0000-0002-4635-247X"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Jooyoung Lee","raw_affiliation_strings":["Institute of Information Systems, Innopolis University, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, Innopolis University, Russia","institution_ids":["https://openalex.org/I4210116741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045231532"],"corresponding_institution_ids":["https://openalex.org/I4210116741"],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56907931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9972000122070312,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.8071667551994324},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7277032136917114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.687761664390564},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6681690812110901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6198290586471558},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5726231336593628},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5523130893707275},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5084275603294373},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.48196908831596375},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44725021719932556},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4161806106567383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34139013290405273},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1622391939163208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071667551994324},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7277032136917114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.687761664390564},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6681690812110901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6198290586471558},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5726231336593628},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5523130893707275},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5084275603294373},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.48196908831596375},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44725021719932556},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4161806106567383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34139013290405273},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1622391939163208},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/snpd.2018.8441034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2018.8441034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1709.01421","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.01421","pdf_url":"https://arxiv.org/pdf/1709.01421","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:research-information.bris.ac.uk:openaire/f710328c-e84d-4ea1-a114-f3a6a825d0d0","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/f710328c-e84d-4ea1-a114-f3a6a825d0d0","pdf_url":"https://research-information.bris.ac.uk/files/308849082/1709.01421v2.pdf","source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sozykin, K, Protasov, S, Khan, A, Hussain, R & Lee, J 2018, Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks. in H J Hwang, L Cai, G H Yeom, T Matsuo, H K Kim, H Yeo, C S Hong, N Fukuta, T Ito & H Miao (eds), 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)., 8441034, Institute of Electrical and Electronics Engineers (IEEE), pp. 146-151. https://doi.org/10.1109/SNPD.2018.8441034","raw_type":"contributionToPeriodical"},{"id":"mag:2752297012","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1709.01421.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1709.01421","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1709.01421","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.01421","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.01421","pdf_url":"https://arxiv.org/pdf/1709.01421","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2752297012.pdf","grobid_xml":"https://content.openalex.org/works/W2752297012.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1528401192","https://openalex.org/W1644653071","https://openalex.org/W1686810756","https://openalex.org/W1766594731","https://openalex.org/W1969876830","https://openalex.org/W1983705368","https://openalex.org/W1993229407","https://openalex.org/W2016053056","https://openalex.org/W2023302299","https://openalex.org/W2038083678","https://openalex.org/W2039493784","https://openalex.org/W2053219236","https://openalex.org/W2099634219","https://openalex.org/W2114315281","https://openalex.org/W2118978333","https://openalex.org/W2122476475","https://openalex.org/W2144836231","https://openalex.org/W2308045930","https://openalex.org/W2522485430","https://openalex.org/W2619947201","https://openalex.org/W2738617613","https://openalex.org/W2949887038","https://openalex.org/W2953106684","https://openalex.org/W2962824803","https://openalex.org/W2963447094","https://openalex.org/W4230683138","https://openalex.org/W6620707391","https://openalex.org/W6636902647","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6663662210","https://openalex.org/W6678029491","https://openalex.org/W6684191040","https://openalex.org/W6692284890","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W3104075922","https://openalex.org/W3034141203","https://openalex.org/W3203059149","https://openalex.org/W3108691208","https://openalex.org/W2981965938","https://openalex.org/W3133605945","https://openalex.org/W3028846921","https://openalex.org/W3099025572","https://openalex.org/W3129106177","https://openalex.org/W2972546487","https://openalex.org/W3200159660","https://openalex.org/W2383458732","https://openalex.org/W2590552500","https://openalex.org/W3080948963","https://openalex.org/W2557807717","https://openalex.org/W1777628566","https://openalex.org/W2776277180","https://openalex.org/W2778336543","https://openalex.org/W3046829819","https://openalex.org/W2970975427"],"abstract_inverted_index":{"Automatic":[0],"analysis":[1],"of":[2,7,14,23,42,55,67,82,108,147],"the":[3,12,35,43,56,68,80,95,105,167,174,181,187],"video":[4,44],"is":[5,61],"one":[6,54],"most":[8,41,57],"complex":[9],"problems":[10],"in":[11,50,63,100,110,116,134],"fields":[13],"computer":[15,113],"vision":[16,114],"and":[17,34,59,74,86,90,104],"machine":[18],"learning.":[19],"A":[20],"significant":[21],"part":[22],"this":[24,117],"research":[25],"deals":[26],"with":[27,166],"(human)":[28],"activity":[29],"recognition":[30,133],"(HAR)":[31],"since":[32],"humans,":[33],"activities":[36],"that":[37,169,180],"they":[38],"perform,":[39],"generate":[40],"semantics.":[45],"Video-based":[46],"HAR":[47,62,127],"has":[48],"applications":[49],"various":[51,112],"domains,":[52],"but":[53],"important":[58],"challenging":[60],"sports":[64],"videos.":[65,136],"Some":[66],"major":[69],"issues":[70],"include":[71],"high":[72],"inter-":[73],"intra-class":[75],"variations,":[76],"large":[77],"class":[78],"imbalance,":[79],"presence":[81],"both":[83],"group":[84],"actions":[85],"single":[87,153],"player":[88],"actions,":[89,93],"recognizing":[91],"simultaneous":[92],"i.e.,":[94],"multi-label":[96,125,130],"learning":[97],"problem.":[98],"Keeping":[99],"mind":[101],"these":[102],"challenges":[103],"recent":[106],"success":[107],"CNNs":[109],"solving":[111],"problems,":[115],"work,":[118],"we":[119],"implement":[120],"a":[121,152,157],"3D":[122],"CNN":[123],"based":[124],"deep":[126],"system":[128,140,168],"for":[129,141,173],"class-imbalanced":[131],"action":[132],"hockey":[135],"We":[137,161],"test":[138],"our":[139,164],"two":[142],"different":[143],"scenarios:":[144],"an":[145],"ensemble":[146],"k":[148],"binary":[149],"networks":[150],"vs.":[151],"k-output":[154],"network,":[155],"on":[156],"publicly":[158],"available":[159],"dataset.":[160,176],"also":[162],"compare":[163],"results":[165,178],"was":[170],"originally":[171],"designed":[172],"chosen":[175],"Experimental":[177],"show":[179],"proposed":[182],"approach":[183],"performs":[184],"better":[185],"than":[186],"existing":[188],"solution.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}