{"id":"https://openalex.org/W3183195518","doi":"https://doi.org/10.1109/pcs50896.2021.9477462","title":"High Frame Rate Video Quality Assessment using VMAF and Entropic Differences","display_name":"High Frame Rate Video Quality Assessment using VMAF and Entropic Differences","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3183195518","doi":"https://doi.org/10.1109/pcs50896.2021.9477462","mag":"3183195518"},"language":"en","primary_location":{"id":"doi:10.1109/pcs50896.2021.9477462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs50896.2021.9477462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.12785","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pavan C Madhusudana","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pavan C Madhusudana","raw_affiliation_strings":["The University of Texas at Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Neil Birkbeck","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Birkbeck","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yilin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Wang","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Balu Adsumilli","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balu Adsumilli","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":null,"display_name":"Alan C. Bovik","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan C. Bovik","raw_affiliation_strings":["The University of Texas at Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.3875,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60535871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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/frame","display_name":"Frame (networking)","score":0.6955999732017517},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5727999806404114},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.5393000245094299},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5296000242233276},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4661000072956085},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.46230000257492065},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45969998836517334},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.43299999833106995},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4115999937057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113000154495239},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6955999732017517},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5727999806404114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630000233650208},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.5393000245094299},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48489999771118164},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.46230000257492065},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.43299999833106995},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.4106000065803528},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.3452000021934509},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31859999895095825},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.313400000333786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pcs50896.2021.9477462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs50896.2021.9477462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.12785","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.12785","pdf_url":"https://arxiv.org/pdf/2109.12785","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:2109.12785","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.12785","pdf_url":"https://arxiv.org/pdf/2109.12785","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":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1938217105","https://openalex.org/W1982471090","https://openalex.org/W2037243393","https://openalex.org/W2044338482","https://openalex.org/W2046119925","https://openalex.org/W2048042940","https://openalex.org/W2095613088","https://openalex.org/W2102166818","https://openalex.org/W2106517536","https://openalex.org/W2117535912","https://openalex.org/W2117804578","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2156447271","https://openalex.org/W2157490214","https://openalex.org/W2165222134","https://openalex.org/W2189027750","https://openalex.org/W2735448770","https://openalex.org/W2775793565","https://openalex.org/W2890084431","https://openalex.org/W2900994596","https://openalex.org/W2963398015"],"related_works":[],"abstract_inverted_index":{"The":[0,49],"popularity":[1],"of":[2,28,167],"streaming":[3],"videos":[4,38,63,88],"with":[5,59,89],"live,":[6],"high-action":[7],"content":[8],"has":[9],"led":[10],"to":[11,39,64,94,113,120,163],"an":[12],"increased":[13],"interest":[14],"in":[15,122,161,181],"High":[16],"Frame":[17],"Rate":[18],"(HFR)":[19],"videos.":[20],"In":[21,144],"this":[22,81,145],"work":[23],"we":[24,147],"address":[25],"the":[26,37,130,153,165,176,195,214],"problem":[27],"frame":[29,44,69,91,123,135,187],"rate":[30,45,136,188],"dependent":[31,137,189],"Video":[32],"Quality":[33],"Assessment":[34],"(VQA)":[35],"when":[36,62,87],"be":[40,65,95],"compared":[41,66],"have":[42,56,67],"different":[43,90],"and":[46,71,125,157,204,211],"compression":[47],"factor.":[48],"current":[50],"VQA":[51,109,202],"models":[52],"such":[53,75,139],"as":[54,76,140],"VMAF":[55,156],"superior":[57,127,206],"correlation":[58],"perceptual":[60,220],"judgments":[61],"same":[68],"rates":[70,92],"contain":[72],"conventional":[73],"distortions":[74],"compression,":[77],"scaling":[78],"etc.":[79,143],"However":[80],"framework":[82,179],"requires":[83],"additional":[84],"pre-processing":[85],"step":[86],"need":[93],"compared,":[96],"which":[97,133],"can":[98],"potentially":[99],"limit":[100],"its":[101],"overall":[102],"performance.":[103],"Recently,":[104],"Generalized":[105],"Entropic":[106],"Difference":[107],"(GREED)":[108],"model":[110],"was":[111],"proposed":[112,177],"account":[114],"for":[115,185],"artifacts":[116,138],"that":[117,175],"arise":[118],"due":[119],"changes":[121],"rate,":[124],"showed":[126],"performance":[128,207],"on":[129,199],"LIVE-YT-HFR":[131],"database":[132],"contains":[134],"judder,":[141],"strobing":[142],"paper":[146],"propose":[148],"a":[149],"simple":[150],"extension,":[151],"where":[152],"features":[154,184],"from":[155],"GREED":[158,210],"are":[159],"fused":[160,196],"order":[162],"exploit":[164],"advantages":[166],"both":[168,209],"models.":[169],"We":[170,192],"show":[171],"through":[172],"various":[173],"experiments":[174],"fusion":[178],"results":[180],"more":[182],"efficient":[183],"predicting":[186],"video":[190],"quality.":[191],"also":[193],"evaluate":[194],"feature":[197,216],"set":[198,217],"standard":[200],"non-HFR":[201],"databases":[203],"obtain":[205],"than":[208],"VMAF,":[212],"indicating":[213],"combined":[215],"captures":[218],"complimentary":[219],"quality":[221],"information.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-08-02T00:00:00"}