{"id":"https://openalex.org/W2911132372","doi":"https://doi.org/10.1109/access.2018.2890560","title":"DeepStar: Detecting Starring Characters in Movies","display_name":"DeepStar: Detecting Starring Characters in Movies","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911132372","doi":"https://doi.org/10.1109/access.2018.2890560","mag":"2911132372"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2890560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2890560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08604143.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08604143.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000747784","display_name":"Ijaz Ul Haq","orcid":"https://orcid.org/0000-0001-8201-7372"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ijaz Ul Haq","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8201-7372","affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018267985","display_name":"Khan Muhammad","orcid":"https://orcid.org/0000-0002-5302-1150"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Khan Muhammad","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075042717","display_name":"Amin Ullah","orcid":"https://orcid.org/0000-0001-7538-2689"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Amin Ullah","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7538-2689","affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072407810","display_name":"Sung Wook Baik","orcid":"https://orcid.org/0000-0002-6678-7788"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Wook Baik","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4813,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.91523881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"9265","last_page":"9272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9973999857902527,"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":0.9973999857902527,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.994700014591217,"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/T11448","display_name":"Face recognition and analysis","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.831794261932373},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7698855996131897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7024495601654053},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6467849016189575},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5515477657318115},{"id":"https://openalex.org/keywords/hollywood","display_name":"Hollywood","score":0.5103051662445068},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44276851415634155},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42803680896759033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40923070907592773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3735675811767578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831794261932373},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7698855996131897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7024495601654053},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6467849016189575},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5515477657318115},{"id":"https://openalex.org/C2780458788","wikidata":"https://www.wikidata.org/wiki/Q5882564","display_name":"Hollywood","level":2,"score":0.5103051662445068},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44276851415634155},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42803680896759033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40923070907592773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3735675811767578},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C153911025","wikidata":"https://www.wikidata.org/wiki/Q7202","display_name":"Molecular biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2890560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2890560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08604143.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2d887aa33f254778a8608ff6315c5033","is_oa":true,"landing_page_url":"https://doaj.org/article/2d887aa33f254778a8608ff6315c5033","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 9265-9272 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2890560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2890560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08604143.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G927355987","display_name":null,"funder_award_id":"2018R1D1A1B07043302","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911132372.pdf","grobid_xml":"https://content.openalex.org/works/W2911132372.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1543616086","https://openalex.org/W1872883209","https://openalex.org/W1923477376","https://openalex.org/W1969365386","https://openalex.org/W1972585013","https://openalex.org/W1976561871","https://openalex.org/W2058685270","https://openalex.org/W2064125229","https://openalex.org/W2075505710","https://openalex.org/W2098973983","https://openalex.org/W2113333558","https://openalex.org/W2114762973","https://openalex.org/W2119190392","https://openalex.org/W2121092087","https://openalex.org/W2123737024","https://openalex.org/W2128216551","https://openalex.org/W2156067731","https://openalex.org/W2158518976","https://openalex.org/W2160532363","https://openalex.org/W2165307239","https://openalex.org/W2169833165","https://openalex.org/W2185206363","https://openalex.org/W2203385281","https://openalex.org/W2246035736","https://openalex.org/W2304975872","https://openalex.org/W2307747718","https://openalex.org/W2325939864","https://openalex.org/W2335081005","https://openalex.org/W2339652278","https://openalex.org/W2341528187","https://openalex.org/W2411870847","https://openalex.org/W2513096262","https://openalex.org/W2545708073","https://openalex.org/W2605640878","https://openalex.org/W2625158242","https://openalex.org/W2766756589","https://openalex.org/W2769581371","https://openalex.org/W2779692282","https://openalex.org/W2780222614","https://openalex.org/W2784321291","https://openalex.org/W2787938067","https://openalex.org/W2801271919","https://openalex.org/W2807862495","https://openalex.org/W2886810500","https://openalex.org/W2891226593","https://openalex.org/W2963721882","https://openalex.org/W2964665981","https://openalex.org/W3101998545","https://openalex.org/W6632555915","https://openalex.org/W6639434097","https://openalex.org/W6739360982","https://openalex.org/W6746108115","https://openalex.org/W6748417379","https://openalex.org/W6752163004","https://openalex.org/W6753569088","https://openalex.org/W6754426419"],"related_works":["https://openalex.org/W611078169","https://openalex.org/W626760193","https://openalex.org/W3156582906","https://openalex.org/W4248686503","https://openalex.org/W2069415580","https://openalex.org/W2493325845","https://openalex.org/W1488474101","https://openalex.org/W2391324791","https://openalex.org/W3186459023","https://openalex.org/W2165586689"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,12,39,69,73,127,147],"the":[3,18,104,112,122,128,142,152],"film":[4],"industry":[5],"have":[6,29,53],"given":[7],"rise":[8],"to":[9,36,66],"exponential":[10],"growth":[11],"movie/drama":[13],"production":[14],"and":[15,24,45,71,121],"adaptation":[16],"of":[17,26,76,106,130,144],"Big":[19],"Data":[20],"concept.":[21],"Automatic":[22],"identification":[23,92],"classification":[25],"movie":[27],"characters":[28,63,150],"received":[30],"tremendous":[31],"attention":[32],"from":[33,111],"researchers":[34],"due":[35,65],"its":[37],"applications":[38],"video":[40,43,47],"semantic":[41],"analysis,":[42],"summarization,":[44],"personalized":[46],"retrieval":[48],"for":[49,89],"which":[50],"several":[51],"methods":[52,59],"been":[54],"recently":[55],"presented.":[56],"However,":[57],"these":[58],"cannot":[60],"detect":[61],"main":[62],"properly":[64],"their":[67],"variation":[68],"pose":[70],"style":[72],"different":[74],"scenes":[75],"a":[77,86],"movie.":[78],"To":[79],"address":[80],"this":[81],"problem":[82],"we":[83],"present":[84],"DeepStar,":[85],"novel":[87],"framework":[88,101],"starring":[90,131,149],"character":[91],"based":[93],"on":[94],"deep":[95,119],"high-level":[96],"robust":[97],"features.":[98],"The":[99,133],"proposed":[100],"is":[102],"threefold:":[103],"extraction":[105],"shots":[107],"with":[108],"clear":[109],"faces":[110],"input":[113],"video;":[114],"face":[115],"clustering":[116],"using":[117,137],"discriminative":[118],"features;":[120],"occurrence":[123],"matrix":[124],"generation,":[125],"helping":[126],"selection":[129],"characters.":[132],"promising":[134],"results":[135],"obtained":[136],"representative":[138],"Hollywood":[139],"movies":[140],"demonstrate":[141],"effectiveness":[143],"our":[145],"method":[146],"detecting":[148],"over":[151],"state-of-the-art":[153],"methods.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
