{"id":"https://openalex.org/W4253377752","doi":"https://doi.org/10.1145/3265845","title":"Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports","display_name":"Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports","publication_year":2018,"publication_date":"2018-10-19","ids":{"openalex":"https://openalex.org/W4253377752","doi":"https://doi.org/10.1145/3265845"},"language":"en","primary_location":{"id":"doi:10.1145/3265845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3265845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9642999768257141,"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":0.9642999768257141,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9623000025749207,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.940500020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.7595855593681335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7034885883331299},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6082284450531006},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5577079057693481},{"id":"https://openalex.org/keywords/pleasure","display_name":"Pleasure","score":0.48979878425598145},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47289836406707764},{"id":"https://openalex.org/keywords/amateur","display_name":"Amateur","score":0.4373355507850647},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38461142778396606},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09271073341369629}],"concepts":[{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.7595855593681335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034885883331299},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6082284450531006},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5577079057693481},{"id":"https://openalex.org/C2777113389","wikidata":"https://www.wikidata.org/wiki/Q208195","display_name":"Pleasure","level":2,"score":0.48979878425598145},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47289836406707764},{"id":"https://openalex.org/C2778044066","wikidata":"https://www.wikidata.org/wiki/Q455595","display_name":"Amateur","level":2,"score":0.4373355507850647},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38461142778396606},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09271073341369629},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3265845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3265845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.550000011920929,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2963231755","https://openalex.org/W2007853041","https://openalex.org/W2063020560","https://openalex.org/W2063768389","https://openalex.org/W1603590763","https://openalex.org/W3193966679","https://openalex.org/W2171170310","https://openalex.org/W2190922845","https://openalex.org/W114017169","https://openalex.org/W2945599964"],"abstract_inverted_index":{"It":[0,33],"is":[1,24],"our":[2,110],"great":[3],"pleasure":[4],"to":[5,8,74,192,239,246,259,296],"welcome":[6],"you":[7],"the":[9,40,48,91,97,125,130,136,147,180,194,249,284,323],"1st":[10],"ACM":[11,27],"International":[12],"Workshop":[13],"on":[14],"Multimedia":[15,28],"Content":[16],"Analysis":[17],"in":[18,30,71,104,257,322],"Sports":[19,310],"(ACM":[20],"MMSports'18).":[21],"The":[22,270],"workshop":[23,244,277],"co-located":[25],"with":[26,67,263],"2018":[29],"Seoul,":[31],"Korea.":[32],"addresses":[34],"a":[35,79,101,115],"very":[36],"timely":[37],"topic":[38],"because":[39],"influence":[41],"of":[42,50,78,88,94,140,152,178,183,253,286,309,325,329],"rapidly":[43],"developing":[44],"technologies":[45,188],"has":[46],"changed":[47],"way":[49,131],"how":[51,105],"we":[52,106,132],"participate,":[53],"watch,":[54],"understand":[55,142],"and":[56,83,86,108,119,138,149,164,172,222,233,251,266,331],"research":[57,155,268],"sports.":[58],"For":[59,196],"example,":[60,197],"television":[61],"broadcasts":[62],"augment":[63],"live":[64],"video":[65],"footage":[66],"computer":[68,158],"vision-based":[69],"graphics":[70],"real":[72],"time":[73],"emphasize":[75],"different":[76,204],"aspects":[77,177],"game":[80,225],"or":[81,145,207],"performance":[82,137,220],"assist":[84],"focus":[85],"understanding":[87],"viewers.":[89],"Moreover,":[90],"astonishing":[92],"impact":[93],"wearables":[95],"within":[96],"last":[98],"years":[99],"plays":[100],"pivotal":[102],"role":[103],"pursue":[107],"evaluate":[109],"personal":[111],"training":[112,120],"goals.":[113],"In":[114],"professional":[116],"setting,":[117],"coaches":[118],"scientists":[121],"directly":[122],"benefit":[123],"from":[124,230,282,304,333],"latest":[126],"technological":[127],"research,":[128],"reshaping":[129],"think":[133],"about":[134],"improving":[135],"technique":[139],"athletes,":[141],"sport":[143,187,205],"injuries":[144],"enhance":[146],"qualitative":[148],"quantitative":[150],"analyses":[151],"performances.":[153],"While":[154],"fields":[156],"like":[157],"vision,":[159],"sensor":[160],"technology,":[161],"machine":[162],"learning":[163],"data":[165],"driven":[166],"approaches":[167,256],"recently":[168],"made":[169],"huge":[170],"advancements":[171],"have":[173,297],"massively":[174],"influenced":[175],"many":[176],"sports,":[179],"joint":[181],"assessment":[182],"multiple":[184],"modalities":[185],"for":[186,202,272,274],"offers":[189],"appealing":[190],"innovations":[191],"advance":[193],"field.":[195],"audio-visual":[198],"cues":[199],"are":[200,293],"used":[201],"classifying":[203],"types":[206],"performing":[208],"crowed":[209],"sentiment":[210],"analyses.":[211],"Computer":[212],"vision":[213],"systems":[214],"using":[215],"highspeed":[216],"camera":[217],"arrays":[218],"generate":[219],"coefficients":[221],"perform":[223],"technical":[224],"analyses,":[226],"while":[227],"force":[228,231],"predictions":[229],"plates":[232],"wearable":[234],"sensors":[235],"can":[236],"be":[237],"utilized":[238],"predict":[240],"impending":[241],"injuries.":[242],"This":[243],"wants":[245],"bring":[247],"together":[248],"breadth":[250],"depth":[252],"these":[254],"diverse":[255],"order":[258],"stimulate":[260],"each":[261],"other":[262],"new":[264,276],"ideas":[265],"foster":[267],"progress.":[269],"call":[271],"papers":[273],"this":[275],"attracted":[278],"23":[279],"high-quality":[280],"submissions":[281],"around":[283],"world":[285],"which":[287],"12":[288],"were":[289],"accepted":[290],"(52%).":[291],"We":[292],"also":[294],"proud":[295],"two":[298],"distinguished":[299],"invited":[300],"talk":[301],"presentations:":[302],"One":[303],"academia":[305],"(Makio":[306],"Kashino,":[307],"Head":[308],"Brain":[311],"Science":[312,317],"Project":[313],"@":[314],"NTT":[315],"Communication":[316],"Laboratories":[318],"&":[319],"Specially-Appointed":[320],"Professor":[321],"School":[324],"Engineering,":[326],"Tokyo":[327],"Institute":[328],"Technology)":[330],"one":[332],"industry":[334],"(Tuukka":[335],"Karvonen,":[336],"Qoncept":[337],"Inc).":[338]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}