{"id":"https://openalex.org/W2731505951","doi":"https://doi.org/10.1109/qomex.2017.7965633","title":"Modelling brightness perception for high dynamic range television","display_name":"Modelling brightness perception for high dynamic range television","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2731505951","doi":"https://doi.org/10.1109/qomex.2017.7965633","mag":"2731505951"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2017.7965633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2017.7965633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)","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/A5083638520","display_name":"Katy C. Noland","orcid":"https://orcid.org/0000-0002-0445-1613"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katy C. Noland","raw_affiliation_strings":["BBC Research & Development, BBC Centre House, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BBC Research & Development, BBC Centre House, London, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068339707","display_name":"Manish Pindoria","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manish Pindoria","raw_affiliation_strings":["BBC Research & Development, BBC Centre House, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BBC Research & Development, BBC Centre House, London, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041510687","display_name":"Andrew S. Cotton","orcid":"https://orcid.org/0000-0002-4787-4528"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Cotton","raw_affiliation_strings":["BBC Research & Development, BBC Centre House, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BBC Research & Development, BBC Centre House, London, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3095,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.97854379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.9962999820709229,"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/brightness","display_name":"Brightness","score":0.8952764272689819},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.691923201084137},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6853623986244202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397143006324768},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6270716190338135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.563778817653656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393348336219788},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5267635583877563},{"id":"https://openalex.org/keywords/loudness","display_name":"Loudness","score":0.46925732493400574},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.4510580003261566},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42945578694343567},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4171687662601471},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.41094350814819336},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.22133851051330566},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1635885238647461},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1397889256477356}],"concepts":[{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.8952764272689819},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.691923201084137},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6853623986244202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397143006324768},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6270716190338135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.563778817653656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393348336219788},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5267635583877563},{"id":"https://openalex.org/C79018884","wikidata":"https://www.wikidata.org/wiki/Q622324","display_name":"Loudness","level":2,"score":0.46925732493400574},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.4510580003261566},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42945578694343567},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4171687662601471},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.41094350814819336},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.22133851051330566},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1635885238647461},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1397889256477356},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qomex.2017.7965633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2017.7965633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W15277345","https://openalex.org/W1643630418","https://openalex.org/W1896238907","https://openalex.org/W1968080121","https://openalex.org/W1988356060","https://openalex.org/W1993642340","https://openalex.org/W2007207888","https://openalex.org/W2007932953","https://openalex.org/W2029654180","https://openalex.org/W2031251434","https://openalex.org/W2035436000","https://openalex.org/W2329124714","https://openalex.org/W2396233508"],"related_works":["https://openalex.org/W2152030049","https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2036724498","https://openalex.org/W2410869481","https://openalex.org/W3123618386","https://openalex.org/W2272915279","https://openalex.org/W2197132757","https://openalex.org/W1939253538","https://openalex.org/W2008321379"],"abstract_inverted_index":{"High":[0],"dynamic":[1,49],"range":[2,50],"(HDR)":[3],"television":[4,28],"offers":[5],"greater":[6],"contrast":[7],"and":[8,15,34,51,68,151,185],"more":[9],"immersive":[10],"images":[11],"than":[12],"conventional":[13],"television,":[14],"as":[16,86,158],"such":[17],"it":[18,206],"is":[19,31,37,203,207,226],"an":[20],"important":[21],"part":[22],"of":[23,114,123,126,134,169,175,183,189,193,214],"the":[24,35,40,112,119,140,146,167,170,173,176,181,186,208],"overall":[25,120,147],"ultra-high":[26],"definition":[27],"package.":[29],"Standardisation":[30],"almost":[32],"complete,":[33],"industry":[36],"already":[38],"taking":[39],"first":[41],"steps":[42],"in":[43,60,224],"HDR":[44,56,83,127],"programme":[45,75],"production.":[46],"The":[47,161,198,212],"extended":[48],"brighter":[52],"screens":[53],"associated":[54],"with":[55],"make":[57],"sudden":[58],"jumps":[59],"brightness":[61,72,102,122,149,222],"possible.":[62],"To":[63],"ensure":[64],"consistency":[65],"between":[66],"programmes":[67],"to":[69,96,145,180,210],"avoid":[70],"uncomfortable":[71],"shifts":[73],"at":[74],"junctions,":[76],"some":[77],"production":[78,98,225],"guidelines":[79,87,99],"are":[80,166],"needed":[81],"for":[82,91,100],"brightness,":[84,101],"just":[85],"have":[88],"been":[89],"necessary":[90],"audio":[92],"loudness.":[93],"In":[94,107],"order":[95],"develop":[97],"perception":[103],"must":[104],"be":[105],"understood.":[106],"this":[108],"paper":[109],"we":[110],"report":[111],"results":[113,157],"subjective":[115,148],"tests":[116],"that":[117,138,220],"measured":[118],"perceived":[121],"a":[124,227],"set":[125],"images.":[128],"We":[129],"then":[130],"propose":[131],"ten":[132],"classes":[133],"potential":[135],"objective":[136,217],"metric":[137],"relate":[139],"displayed":[141,200],"pixel":[142,171,177,190,201],"luminance":[143,202],"levels":[144],"level,":[150],"evaluate":[152],"them":[153],"using":[154],"our":[155],"test":[156],"ground":[159],"truth.":[160],"most":[162],"effective":[163],"metrics":[164,218],"tested":[165],"mean":[168,174,199],"luminances,":[172,191],"luminances":[178],"raised":[179],"power":[182],"0.82,":[184],"96th":[187],"percentile":[188],"all":[192],"which":[194],"performed":[195],"similarly":[196],"well.":[197],"preferred,":[204],"since":[205],"simplest":[209],"implement.":[211],"effectiveness":[213],"these":[215],"simple":[216],"suggests":[219],"real-time":[221],"monitoring":[223],"realistic":[228],"goal.":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}