{"id":"https://openalex.org/W4366493191","doi":"https://doi.org/10.1109/lsp.2023.3268602","title":"Making Video Quality Assessment Models Robust to Bit Depth","display_name":"Making Video Quality Assessment Models Robust to Bit Depth","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366493191","doi":"https://doi.org/10.1109/lsp.2023.3268602"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3268602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3268602","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.13092","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020690836","display_name":"Joshua P. Ebenezer","orcid":"https://orcid.org/0000-0003-4936-9784"},"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":"Joshua P. Ebenezer","raw_affiliation_strings":["The Laboratory for Image and Video Engineering (LIVE), The University of Texas, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-4936-9784","affiliations":[{"raw_affiliation_string":"The Laboratory for Image and Video Engineering (LIVE), The University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015745910","display_name":"Zaixi Shang","orcid":"https://orcid.org/0000-0002-4264-3130"},"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":"Zaixi Shang","raw_affiliation_strings":["The Laboratory for Image and Video Engineering (LIVE), The University of Texas, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-4264-3130","affiliations":[{"raw_affiliation_string":"The Laboratory for Image and Video Engineering (LIVE), The University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101822607","display_name":"Yongjun Wu","orcid":"https://orcid.org/0000-0002-9324-8616"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongjun Wu","raw_affiliation_strings":["Amazon Prime Video, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Prime Video, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114194191","display_name":"Hai Wei","orcid":"https://orcid.org/0000-0002-9045-7113"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Wei","raw_affiliation_strings":["Amazon Prime Video, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Prime Video, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042275464","display_name":"Sriram Sethuraman","orcid":"https://orcid.org/0000-0002-2961-1599"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sriram Sethuraman","raw_affiliation_strings":["Amazon Prime Video, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Prime Video, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"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 Laboratory for Image and Video Engineering (LIVE), The University of Texas, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-6067-710X","affiliations":[{"raw_affiliation_string":"The Laboratory for Image and Video Engineering (LIVE), The University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3473,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82793261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"488","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9994000196456909,"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":0.7997991442680359},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6122465133666992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961186289787292},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5928221940994263},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5576390027999878},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5407777428627014},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5352988839149475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47227323055267334},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4586186408996582},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4510646164417267},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.42395472526550293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36278003454208374},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.2913617491722107},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.10739544034004211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997991442680359},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6122465133666992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961186289787292},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5928221940994263},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5576390027999878},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5407777428627014},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5352988839149475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47227323055267334},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4586186408996582},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4510646164417267},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.42395472526550293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36278003454208374},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.2913617491722107},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.10739544034004211},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2023.3268602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3268602","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2304.13092","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.13092","pdf_url":"https://arxiv.org/pdf/2304.13092","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.13092","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.13092","pdf_url":"https://arxiv.org/pdf/2304.13092","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366493191.pdf","grobid_xml":"https://content.openalex.org/works/W4366493191.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1982471090","https://openalex.org/W2044338482","https://openalex.org/W2046119925","https://openalex.org/W2048042940","https://openalex.org/W2102166818","https://openalex.org/W2117804578","https://openalex.org/W2603172850","https://openalex.org/W2735448770","https://openalex.org/W2950154603","https://openalex.org/W2965644659","https://openalex.org/W3030701471","https://openalex.org/W3099047215","https://openalex.org/W3129158843","https://openalex.org/W3138218344","https://openalex.org/W3174722860","https://openalex.org/W3199711941","https://openalex.org/W4200316848","https://openalex.org/W4308236828","https://openalex.org/W4401477554","https://openalex.org/W6852729415"],"related_works":["https://openalex.org/W1972391593","https://openalex.org/W2062936665","https://openalex.org/W4234477160","https://openalex.org/W3201904914","https://openalex.org/W2798948000","https://openalex.org/W2140624161","https://openalex.org/W4243824339","https://openalex.org/W1513749200","https://openalex.org/W4379929470","https://openalex.org/W2809031010"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,114],"novel":[3],"feature":[4],"set,":[5],"which":[6],"we":[7,122],"call":[8],"HDRMAX":[9,72,145],"features,":[10],"that":[11,37,103],"when":[12,147],"included":[13],"into":[14],"Video":[15,80],"Quality":[16],"Assessment":[17],"(VQA)":[18],"algorithms":[19],"designed":[20],"for":[21,41,108],"Standard":[22],"Dynamic":[23,33],"Range":[24,34],"(SDR)":[25],"videos,":[26,99],"sensitizes":[27],"them":[28],"to":[29,51],"distortions":[30,102],"of":[31,60,98,116,119,144],"High":[32],"(HDR)":[35],"videos":[36],"are":[38,48,67,104,138],"inadequately":[39],"accounted":[40,107],"by":[42,84,109,141],"these":[43,46],"algorithms.":[44],"While":[45],"features":[47,73,146],"not":[49],"specific":[50],"HDR,":[52],"and":[53,94,151],"also":[54],"augment":[55],"the":[56,92,117,142],"equality":[57],"prediction":[58],"performances":[59,137],"VQA":[61,111,128],"models":[62,83,129],"on":[63,70,132,149],"SDR":[64],"content,":[65],"they":[66,89],"especially":[68],"effective":[69],"HDR.":[71],"modify":[74],"powerful":[75],"priors":[76],"drawn":[77],"from":[78],"Natural":[79],"Statistics":[81],"(NVS)":[82],"enhancing":[85],"their":[86,136],"measurability":[87],"where":[88],"visually":[90],"impact":[91],"brightest":[93],"darkest":[95],"local":[96],"portions":[97],"thereby":[100],"capturing":[101],"often":[105],"poorly":[106,131],"existing":[110],"models.":[112],"As":[113],"demonstration":[115],"efficacy":[118],"our":[120],"approach,":[121],"show":[123],"that,":[124],"while":[125],"current":[126],"state-of-the-art":[127],"perform":[130],"10-bit":[133,152],"HDR":[134,150],"databases,":[135],"greatly":[139],"improved":[140],"inclusion":[143],"tested":[148],"distorted":[153],"videos.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
