{"id":"https://openalex.org/W7160288359","doi":"https://doi.org/10.1109/wacv61042.2026.00154","title":"BrightRate: Quality Assessment for User-Generated HDR Videos","display_name":"BrightRate: Quality Assessment for User-Generated HDR Videos","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160288359","doi":"https://doi.org/10.1109/wacv61042.2026.00154"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5055059667","display_name":"Shreshth Saini","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":"Shreshth Saini","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135311296","display_name":"Bowen Chen","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":"Bowen Chen","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135303379","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, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135354170","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, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060507975","display_name":"Balu Adsumilli","orcid":"https://orcid.org/0000-0002-5187-6331"},"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, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135410100","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"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":0,"citation_normalized_percentile":{"value":0.51787189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1522","last_page":"1532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9090999960899353,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9090999960899353,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.01080000028014183,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.006500000134110451,"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/quality-assessment","display_name":"Quality assessment","score":0.5828999876976013},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4449000060558319},{"id":"https://openalex.org/keywords/online-assessment","display_name":"Online assessment","score":0.301800012588501},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.24300000071525574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.23600000143051147}],"concepts":[{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.5828999876976013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5081999897956848},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3709000051021576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3278000056743622},{"id":"https://openalex.org/C178823583","wikidata":"https://www.wikidata.org/wiki/Q3269883","display_name":"Online assessment","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.24300000071525574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.23600000143051147},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.22679999470710754},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.22280000150203705}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W581289835","https://openalex.org/W1982471090","https://openalex.org/W2048042940","https://openalex.org/W2063658831","https://openalex.org/W2102166818","https://openalex.org/W2194363988","https://openalex.org/W2581362918","https://openalex.org/W2611434713","https://openalex.org/W2617811665","https://openalex.org/W2791258091","https://openalex.org/W2897558784","https://openalex.org/W2939995367","https://openalex.org/W2950154603","https://openalex.org/W2965644659","https://openalex.org/W3081208937","https://openalex.org/W3088713405","https://openalex.org/W3165054944","https://openalex.org/W3169674094","https://openalex.org/W3174722860","https://openalex.org/W3186150684","https://openalex.org/W3199711941","https://openalex.org/W3207775714","https://openalex.org/W3210514413","https://openalex.org/W4312818079","https://openalex.org/W4319336190","https://openalex.org/W4382462760","https://openalex.org/W4385901360","https://openalex.org/W4386071544","https://openalex.org/W4386071753","https://openalex.org/W4386523589","https://openalex.org/W4387068132","https://openalex.org/W4388878667","https://openalex.org/W4394842392","https://openalex.org/W4399167976","https://openalex.org/W4401477554","https://openalex.org/W4402704606","https://openalex.org/W4402753893","https://openalex.org/W4402915565","https://openalex.org/W4402917027","https://openalex.org/W4413145151"],"related_works":[],"abstract_inverted_index":{"High":[0],"Dynamic":[1,15],"Range":[2,16],"(HDR)":[3],"videos":[4,52],"offer":[5],"superior":[6],"luminance":[7],"and":[8,32,44,77,86],"color":[9],"fidelity":[10],"as":[11,29],"compared":[12],"to":[13,56,69,112,146],"Standard":[14],"(SDR)":[17],"content.":[18],"The":[19],"rapid":[20],"growth":[21],"of":[22,42,51,59,73,79,116],"User-Generated":[23],"Content":[24],"(UGC)":[25],"on":[26,124],"platforms":[27],"such":[28],"YouTube,":[30],"Instagram,":[31],"TikTok":[33],"has":[34],"brought":[35],"a":[36,96,139],"significant":[37],"increase":[38],"in":[39],"the":[40,57,74,104,113],"volumes":[41],"streamed":[43],"shared":[45],"UGC":[46,118],"videos.":[47,119],"This":[48],"newer":[49],"category":[50],"brings":[53],"new":[54,98],"challenges":[55],"development":[58],"effective":[60],"No-Reference":[61],"(NR)":[62],"video":[63,108,141],"quality":[64,109,114,130,142],"assessment":[65],"(VQA)":[66],"models":[67],"specialized":[68],"HDR":[70,117,165],"UGC,":[71],"because":[72],"extreme":[75],"variety":[76],"severities":[78],"distortions,":[80],"arising":[81],"from":[82],"diverse":[83],"capture,":[84],"editing,":[85],"processing":[87],"outcomes.":[88],"Towards":[89],"addressing":[90],"this":[91,133],"issue,":[92],"we":[93,126,135],"introduce":[94],"BrightVQ,":[95],"sizeable":[97],"psychometric":[99],"data":[100],"resource.":[101],"It":[102],"is":[103],"first":[105],"large-scale":[106],"subjective":[107],"database":[110],"dedicated":[111],"modelling":[115],"BrightVQ":[120],"comprises":[121],"2,100":[122],"videos,":[123],"which":[125],"collected":[127],"73,794":[128],"perceptual":[129],"ratings.":[131],"Using":[132],"dataset,":[134],"also":[136],"developed":[137],"BrightRate,":[138],"novel":[140],"prediction":[143],"model":[144],"designed":[145],"capture":[147],"both":[148],"UGC-specific":[149],"distortions":[150],"coexisting":[151],"with":[152],"HDR-specific":[153],"artifacts.":[154],"Extensive":[155],"experimental":[156],"results":[157],"demonstrate":[158],"that":[159],"BrightRate":[160],"achieves":[161],"state-of-the-art":[162],"performance":[163],"across":[164],"databases.":[166]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}