{"id":"https://openalex.org/W2912718581","doi":"https://doi.org/10.1109/tbdata.2019.2895605","title":"Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances","display_name":"Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances","publication_year":2019,"publication_date":"2019-01-29","ids":{"openalex":"https://openalex.org/W2912718581","doi":"https://doi.org/10.1109/tbdata.2019.2895605","mag":"2912718581"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2019.2895605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2895605","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/281983","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044541383","display_name":"Ke Gu","orcid":"https://orcid.org/0000-0001-5540-3235"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Gu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5540-3235","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696102","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-0748-3669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055432844","display_name":"Junfei Qiao","orcid":"https://orcid.org/0000-0002-1707-6074"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfei Qiao","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1707-6074","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Internet Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000581688","display_name":"Qiuping Jiang","orcid":"https://orcid.org/0000-0002-6025-9343"},"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":"Qiuping Jiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-6025-9343","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9866-1947","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005709068","display_name":"Dani\u00ebl Thalmann","orcid":"https://orcid.org/0000-0002-0451-7491"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Thalmann","raw_affiliation_strings":["EPFL, Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-0451-7491","affiliations":[{"raw_affiliation_string":"EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9276,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.86725923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"6","issue":"4","first_page":"780","last_page":"791"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9902999997138977,"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":0.8217964172363281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7057129144668579},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5569950342178345},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5219249725341797},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49154385924339294},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48449942469596863},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4748135805130005},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.43557700514793396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41479307413101196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3538399934768677},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.2777616083621979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1081494688987732},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07575827836990356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8217964172363281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7057129144668579},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5569950342178345},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5219249725341797},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49154385924339294},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48449942469596863},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4748135805130005},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.43557700514793396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41479307413101196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3538399934768677},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2777616083621979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1081494688987732},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07575827836990356},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tbdata.2019.2895605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2895605","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:281983","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/281983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/281983","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:281983","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/281983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/281983","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1329594798","display_name":null,"funder_award_id":"2017QNRC001]","funder_id":"https://openalex.org/F4320311778","funder_display_name":"China Association for Science and Technology"},{"id":"https://openalex.org/G2752481062","display_name":null,"funder_award_id":"61703009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G339866880","display_name":null,"funder_award_id":"61890930\u20135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311778","display_name":"China Association for Science and Technology","ror":"https://ror.org/035vmht26"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1536831187","https://openalex.org/W1544480952","https://openalex.org/W1561538450","https://openalex.org/W1562683879","https://openalex.org/W1585227639","https://openalex.org/W1977725648","https://openalex.org/W1978598038","https://openalex.org/W1982471090","https://openalex.org/W1991867157","https://openalex.org/W2003076022","https://openalex.org/W2009272644","https://openalex.org/W2015196405","https://openalex.org/W2037243393","https://openalex.org/W2056380823","https://openalex.org/W2059283460","https://openalex.org/W2063360098","https://openalex.org/W2076136231","https://openalex.org/W2102166818","https://openalex.org/W2103997799","https://openalex.org/W2119047110","https://openalex.org/W2120838001","https://openalex.org/W2121927366","https://openalex.org/W2130172650","https://openalex.org/W2131676517","https://openalex.org/W2133665775","https://openalex.org/W2138516811","https://openalex.org/W2147008239","https://openalex.org/W2148764920","https://openalex.org/W2153635508","https://openalex.org/W2157376352","https://openalex.org/W2158546915","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165317121","https://openalex.org/W2170947705","https://openalex.org/W2200675780","https://openalex.org/W2290415093","https://openalex.org/W2295949027","https://openalex.org/W2298773986","https://openalex.org/W2300642894","https://openalex.org/W2395697005","https://openalex.org/W2404847069","https://openalex.org/W2473697052","https://openalex.org/W2507774658","https://openalex.org/W2509267106","https://openalex.org/W2516858621","https://openalex.org/W2546641693","https://openalex.org/W2579658395","https://openalex.org/W2594112328","https://openalex.org/W2621054742","https://openalex.org/W2738692335","https://openalex.org/W2746214548","https://openalex.org/W2763588665","https://openalex.org/W2765934933","https://openalex.org/W2777280533","https://openalex.org/W2790288543","https://openalex.org/W2807695771","https://openalex.org/W2835045226","https://openalex.org/W2896233615","https://openalex.org/W2911964244","https://openalex.org/W3182211633","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W2359776416","https://openalex.org/W2353788488","https://openalex.org/W2361916204","https://openalex.org/W2372011046","https://openalex.org/W1990584060","https://openalex.org/W2387495973","https://openalex.org/W2347464726","https://openalex.org/W2375704815","https://openalex.org/W2357504953","https://openalex.org/W4319844245"],"abstract_inverted_index":{"In":[0,106,145],"this":[1,39],"work,":[2],"we":[3],"resolve":[4],"a":[5,48,130,194],"big":[6],"challenge":[7],"that":[8,225],"most":[9],"current":[10],"image":[11,19,66,116,143,156,185,261],"quality":[12,236,262],"metrics":[13],"(IQMs)":[14],"are":[15,119,166],"unavailable":[16],"across":[17],"different":[18,57],"contents,":[20],"especially":[21],"simultaneously":[22,233],"coping":[23],"with":[24,36,82,250,273],"natural":[25],"scene":[26,94,111],"(NS)":[27],"images":[28,71,137,205],"or":[29],"screen":[30],"content":[31],"(SC)":[32],"images.":[33,75],"By":[34],"comparison":[35],"existing":[37],"works,":[38],"paper":[40,278],"deploys":[41],"on-line":[42,123],"and":[43,60,72,100,114,124,138,159,178,180,210,239,242,252,259],"off-line":[44,125,170],"data":[45],"for":[46,134],"proposing":[47],"unified":[49],"no-reference":[50],"(NR)":[51],"IQM,":[52],"not":[53],"only":[54],"applied":[55,206],"to":[56,64,128,140,173,182,207],"distortion":[58,176],"types":[59,177],"intensities":[61,179],"but":[62],"also":[63],"various":[65],"contents":[67],"including":[68],"classical":[69],"NS":[70,238,258],"prevailing":[73],"SC":[74,240,260],"Our":[76],"proposed":[77,227],"NR":[78],"IQM":[79,229],"is":[80,91,230],"developed":[81],"two":[83,188],"data-driven":[84],"learning":[85],"processes":[86,189],"following":[87],"feature":[88],"extraction,":[89],"which":[90],"based":[92,121],"on":[93,122,193,255],"statistic":[95,112],"models,":[96],"free-energy":[97,158],"brain":[98],"principle,":[99],"human":[101],"visual":[102],"system":[103],"(HVS)":[104],"characteristics.":[105],"the":[107,110,142,146,149,154,164,175,184,202,226,235,256,274,277],"first":[108],"process,":[109,148],"models":[113],"an":[115],"retrieve":[117],"technique":[118],"combined,":[120],"training":[126,171,198],"instances,":[127],"derive":[129],"novel":[131],"loose":[132],"classifier":[133],"retrieving":[135],"clean":[136],"helping":[139],"infer":[141],"content.":[144],"second":[147],"features":[150],"extracted":[151],"by":[152,168],"incorporating":[153],"inferred":[155],"content,":[157],"low-level":[160],"perceptual":[161],"characteristics":[162],"of":[163,197,204,232,237,267,276],"HVS":[165],"learned":[167],"utilizing":[169],"samples":[172],"analyze":[174],"thereby":[181],"predict":[183],"quality.":[186],"The":[187,264],"mentioned":[190],"above":[191],"depend":[192],"gigantic":[195],"quantity":[196],"data,":[199],"much":[200],"exceeding":[201],"number":[203],"performance":[208,215,247],"validation,":[209],"thus":[211],"make":[212],"our":[213,268],"model's":[214],"more":[216],"reliable.":[217],"Through":[218],"extensive":[219],"experiments,":[220],"it":[221,243],"has":[222,244],"been":[223],"validated":[224],"blind":[228],"capable":[231],"inferring":[234],"images,":[241],"attained":[245],"superior":[246],"as":[248],"compared":[249],"popular":[251],"state-of-the-art":[253],"IQMs":[254],"subjective":[257],"databases.":[263],"source":[265],"code":[266],"model":[269],"will":[270],"be":[271],"released":[272],"publication":[275],"at":[279],"https://kegu.netlify.com.":[280]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}