{"id":"https://openalex.org/W4308236851","doi":"https://doi.org/10.1109/icip46576.2022.9897312","title":"Funque: Fusion of Unified Quality Evaluators","display_name":"Funque: Fusion of Unified Quality Evaluators","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308236851","doi":"https://doi.org/10.1109/icip46576.2022.9897312"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897312","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5068212068","display_name":"Abhinau K. Venkataramanan","orcid":"https://orcid.org/0000-0002-3648-230X"},"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":true,"raw_author_name":"Abhinau K. Venkataramanan","raw_affiliation_strings":["The University of Texas at Austin,Austin,TX,USA,78705"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Austin,TX,USA,78705","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075951499","display_name":"Cosmin Stejerean","orcid":"https://orcid.org/0009-0006-3523-2479"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cosmin Stejerean","raw_affiliation_strings":["Meta Platforms, Inc.,Menlo Park,CA,USA,94025"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc.,Menlo Park,CA,USA,94025","institution_ids":["https://openalex.org/I4210114444"]}]},{"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 University of Texas at Austin,Austin,TX,USA,78705"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Austin,TX,USA,78705","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068212068"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.8269,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81594265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2147","last_page":"2151"},"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":0.9986000061035156,"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":0.9973999857902527,"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":0.7690612077713013},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.754531741142273},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5804846286773682},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5560229420661926},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.478958398103714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4636382460594177},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4546022117137909},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4123237729072571},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40190327167510986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3723480701446533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2629782259464264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0819835364818573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690612077713013},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.754531741142273},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5804846286773682},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5560229420661926},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.478958398103714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4636382460594177},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4546022117137909},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4123237729072571},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40190327167510986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3723480701446533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2629782259464264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0819835364818573},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897312","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308737","display_name":"Facebook","ror":"https://ror.org/01zbnvs85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2032198961","https://openalex.org/W2046102294","https://openalex.org/W2046119925","https://openalex.org/W2104691052","https://openalex.org/W2109812093","https://openalex.org/W2117804578","https://openalex.org/W2133665775","https://openalex.org/W2145792107","https://openalex.org/W2792882801","https://openalex.org/W2963398015","https://openalex.org/W2968835586","https://openalex.org/W2994968064","https://openalex.org/W3012919712","https://openalex.org/W3088669449","https://openalex.org/W3097096317","https://openalex.org/W3112764411","https://openalex.org/W3123435446","https://openalex.org/W3133901077","https://openalex.org/W6775432346"],"related_works":["https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2355938171","https://openalex.org/W2780079842","https://openalex.org/W2115091349"],"abstract_inverted_index":{"Fusion-based":[0],"quality":[1,12,15,42,70,78,100,105],"assessment":[2],"has":[3,32],"emerged":[4],"as":[5,36],"a":[6,66,84,99],"powerful":[7],"method":[8],"for":[9,40,90],"developing":[10],"high-performance":[11],"models":[13,16,79],"from":[14],"that":[17,88,102,109],"individually":[18],"achieve":[19],"lower":[20],"performances.":[21],"A":[22],"prominent":[23],"example":[24],"of":[25,65,69],"such":[26],"an":[27,37],"algorithm":[28],"is":[29,54],"VMAF,":[30],"which":[31],"been":[33],"widely":[34],"adopted":[35],"industry":[38],"standard":[39],"video":[41],"prediction":[43],"along":[44],"with":[45],"SSIM.":[46],"In":[47,72],"addition":[48],"to":[49,56,112,128],"advancing":[50],"the":[51,58,63,91,113],"state-of-the-art,":[52,114],"it":[53],"imperative":[55],"alleviate":[57],"computational":[59],"burden":[60],"presented":[61],"by":[62,80],"use":[64],"heterogeneous":[67],"set":[68],"models.":[71],"this":[73],"paper,":[74],"we":[75,96],"unify":[76],"\"atom\"":[77],"computing":[81],"them":[82],"on":[83],"common":[85],"transform":[86],"domain":[87],"accounts":[89],"Human":[92],"Visual":[93],"System,":[94],"and":[95,125],"propose":[97],"FUNQUE,":[98],"model":[101],"fuses":[103],"unified":[104],"evaluators.":[106],"We":[107],"demonstrate":[108],"in":[110,119],"comparison":[111],"FUNQUE":[115],"offers":[116],"significant":[117],"improvements":[118],"both":[120],"correlation":[121],"against":[122],"subjective":[123],"scores":[124],"efficiency,":[126],"due":[127],"computation":[129],"sharing.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
