{"id":"https://openalex.org/W3148862175","doi":"https://doi.org/10.1145/3445815.3445848","title":"Blind Quality Assessment for High Dynamic Range Video Systems","display_name":"Blind Quality Assessment for High Dynamic Range Video Systems","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3148862175","doi":"https://doi.org/10.1145/3445815.3445848","mag":"3148862175"},"language":"en","primary_location":{"id":"doi:10.1145/3445815.3445848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5101466571","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-9453-5609"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Wang","raw_affiliation_strings":["Ningbo University China"],"affiliations":[{"raw_affiliation_string":"Ningbo University China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025156","display_name":"Mei Yu","orcid":"https://orcid.org/0000-0002-2140-8756"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Yu","raw_affiliation_strings":["Ningbo University, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113940223","display_name":"Zhidi Jiang","orcid":"https://orcid.org/0000-0002-3399-7076"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhidi Jiang","raw_affiliation_strings":["Ningbo University China"],"affiliations":[{"raw_affiliation_string":"Ningbo University China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054453371","display_name":"Yang Song","orcid":"https://orcid.org/0000-0002-9477-567X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["Ningbo University China"],"affiliations":[{"raw_affiliation_string":"Ningbo University China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101466571"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19069705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11666","display_name":"Color Science and Applications","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7995927333831787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7620894908905029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386175394058228},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6518255472183228},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6288074851036072},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5475694537162781},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.48975038528442383},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4451794922351837},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.42007723450660706},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.41284245252609253},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.20176652073860168}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7995927333831787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7620894908905029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386175394058228},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6518255472183228},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6288074851036072},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5475694537162781},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.48975038528442383},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4451794922351837},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.42007723450660706},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.41284245252609253},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.20176652073860168},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3445815.3445848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6588505980","display_name":null,"funder_award_id":"61671258 and 61871247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W581289835","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1997746542","https://openalex.org/W2024165284","https://openalex.org/W2046119925","https://openalex.org/W2114173475","https://openalex.org/W2133665775","https://openalex.org/W2172058006","https://openalex.org/W2194363988","https://openalex.org/W2314091824","https://openalex.org/W2411063280","https://openalex.org/W2593711610","https://openalex.org/W2613552510","https://openalex.org/W2807963983","https://openalex.org/W2979442169"],"related_works":["https://openalex.org/W2940624547","https://openalex.org/W1579157894","https://openalex.org/W1967654336","https://openalex.org/W2060632806","https://openalex.org/W1530267862","https://openalex.org/W2995690499","https://openalex.org/W1494405360","https://openalex.org/W2050955821","https://openalex.org/W2153529351","https://openalex.org/W2040149295"],"abstract_inverted_index":{"Compared":[0],"with":[1,16,279],"traditional":[2],"imaging":[3,9],"methods,":[4],"high":[5],"dynamic":[6,18],"range":[7],"(HDR)":[8],"techniques":[10],"can":[11,268],"provide":[12],"the":[13,43,53,84,96,122,127,133,141,149,156,160,166,173,180,186,193,203,206,227,231,238,255,258,265,270],"visual":[14,46,143,281],"contents":[15],"wider":[17],"range,":[19],"higher":[20],"contrast,":[21],"and":[22,37,80,89,107,126,152,176,179,195,217,275],"richer":[23],"detail":[24],"information.":[25],"In":[26],"HDR":[27,39,56,71,93,98,138,158,242,249,271],"video":[28,57,72,99,272],"system,":[29],"distortion":[30],"is":[31,58,100,110,163,210,251],"inevitably":[32],"produced":[33],"during":[34],"capturing,":[35],"processing":[36],"coding":[38],"video,":[40,159],"leading":[41],"to":[42,50,62,115,145,171,191,212,229,236,253],"degradation":[44],"of":[45,55,87,104,137,148,240,248,257],"quality.":[47],"Therefore,":[48],"how":[49],"objectively":[51],"assess":[52],"quality":[54,73,239,273],"an":[59],"important":[60],"problem":[61],"be":[63],"solved.":[64],"This":[65],"paper":[66],"proposes":[67],"a":[68,245],"new":[69],"blind":[70],"assessment":[74],"method":[75,267],"based":[76],"on":[77,112,165],"luminance":[78,161,188],"partition":[79,162],"motion":[81,90,129,207,214],"perception,":[82,205],"considering":[83,202],"perceptual":[85],"impacts":[86],"texture":[88,146,181,197],"information":[91,119,125,130,136,169,208],"in":[92,155,226],"video.":[94,139],"Firstly,":[95],"distorted":[97,157,241],"divided":[101],"into":[102],"groups":[103],"frames":[105],"(GoFs),":[106],"tensor":[108],"decomposition":[109],"performed":[111,164],"each":[113],"GoF":[114],"obtain":[116,172],"its":[117],"static":[118,168],"map":[120,170,209],"containing":[121,132],"main":[123,134],"spatial":[124],"corresponding":[128],"maps":[131],"temporal":[135,204,228],"Considering":[140],"different":[142,187],"perception":[144,198,215,219],"details":[147],"bright,":[150],"middle":[151,175],"dark":[153,177],"regions":[154,190],"GoF's":[167],"brightness,":[174],"regions,":[178],"features":[182,216,223],"are":[183,224],"extracted":[184,222],"from":[185],"partitioned":[189],"form":[192,230],"global":[194],"local":[196],"feature":[199,233],"sets.":[200],"Then,":[201],"used":[211,235],"extract":[213],"structure":[218],"features.":[220],"The":[221],"fused":[225],"final":[232],"set":[234],"predict":[237],"videos.":[243],"Moreover,":[244],"subjective":[246],"database":[247],"videos":[250],"established":[252],"verify":[254],"effectiveness":[256],"proposed":[259,266],"method.":[260],"Experimental":[261],"results":[262],"show":[263],"that":[264],"evaluate":[269],"accurately,":[274],"has":[276],"good":[277],"consistency":[278],"human":[280],"perception.":[282]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}