{"id":"https://openalex.org/W4415821996","doi":"https://doi.org/10.1109/qomex65720.2025.11219988","title":"Leveraging Multi-View Learning for Quality of Experience Prediction Models","display_name":"Leveraging Multi-View Learning for Quality of Experience Prediction Models","publication_year":2025,"publication_date":"2025-09-30","ids":{"openalex":"https://openalex.org/W4415821996","doi":"https://doi.org/10.1109/qomex65720.2025.11219988"},"language":"en","primary_location":{"id":"doi:10.1109/qomex65720.2025.11219988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex65720.2025.11219988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11584/469452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120235837","display_name":"Matteo Fratta","orcid":null},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Fratta","raw_affiliation_strings":["University of Cagliari,DIEE,Cagliari,Italy,09123"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari,DIEE,Cagliari,Italy,09123","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048515363","display_name":"Simone Porcu","orcid":"https://orcid.org/0000-0003-0792-1200"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Porcu","raw_affiliation_strings":["University of Cagliari,DIEE,Cagliari,Italy,09123"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari,DIEE,Cagliari,Italy,09123","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033094528","display_name":"Giulia Martinelli","orcid":"https://orcid.org/0000-0003-3713-3053"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Martinelli","raw_affiliation_strings":["University of Trento,DISI,Trento,Italy,38123"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento,DISI,Trento,Italy,38123","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045207227","display_name":"Alessandro Floris","orcid":"https://orcid.org/0000-0002-8745-1327"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Floris","raw_affiliation_strings":["University of Cagliari,DIEE,Cagliari,Italy,09123"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari,DIEE,Cagliari,Italy,09123","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004550036","display_name":"Luigi Atzori","orcid":"https://orcid.org/0000-0003-1350-3574"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Atzori","raw_affiliation_strings":["University of Cagliari,DIEE,Cagliari,Italy,09123"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari,DIEE,Cagliari,Italy,09123","institution_ids":["https://openalex.org/I172446870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.0010000000474974513,"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/T11439","display_name":"Video Analysis and Summarization","score":0.00019999999494757503,"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/leverage","display_name":"Leverage (statistics)","score":0.7531999945640564},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5428000092506409},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.5356000065803528},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4880000054836273},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48420000076293945},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4440999925136566},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4156999886035919},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41359999775886536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692000269889832},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7531999945640564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.623199999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698999762535095},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5428000092506409},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.5356000065803528},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4880000054836273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48420000076293945},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4440999925136566},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3977999985218048},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.314300000667572},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26910001039505005}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex65720.2025.11219988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex65720.2025.11219988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unica.it:11584/469452","is_oa":true,"landing_page_url":"https://hdl.handle.net/11584/469452","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:iris.unica.it:11584/469452","is_oa":true,"landing_page_url":"https://hdl.handle.net/11584/469452","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2048679005","https://openalex.org/W2147070561","https://openalex.org/W2425566277","https://openalex.org/W2487852963","https://openalex.org/W2544602246","https://openalex.org/W2804559716","https://openalex.org/W2892816441","https://openalex.org/W3152946508","https://openalex.org/W3198904369","https://openalex.org/W4206713640","https://openalex.org/W4224950625","https://openalex.org/W4225554547","https://openalex.org/W4381744968","https://openalex.org/W4400878372","https://openalex.org/W4405386671"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"models":[1,25],"are":[2,26],"necessary":[3],"for":[4,17],"the":[5,9,40,60,64,67,77,83,86,156,168,171,175,183,186,195,205,213,226,234],"continuous":[6],"estimation":[7,191],"of":[8,11,39,56,66,85,208],"Quality":[10],"Experience":[12],"(QoE),":[13],"which":[14,32,200],"is":[15,147,230],"crucial":[16],"delivering":[18],"successful":[19],"multimedia":[20],"services":[21],"to":[22,70,131,194],"end-users.":[23],"These":[24],"developed":[27,87],"from":[28,105,109,134,155],"subjective":[29,79,111],"test":[30],"data,":[31],"very":[33],"often":[34],"provide":[35],"only":[36],"specific":[37,54],"aspects":[38],"experience,":[41],"i.e.,":[42],"a":[43,50,53,92,115,150,161],"partial":[44],"view":[45],"(PV).":[46],"Each":[47],"PV":[48,180],"conveys":[49],"relationship":[51],"between":[52,233],"set":[55,153,207,229],"influence":[57],"factors":[58],"and":[59,126],"perceived":[61],"QoE,":[62],"limiting":[63],"applicability":[65,84],"derived":[68,154],"model":[69,146],"other":[71,184],"application":[72],"scenarios":[73],"not":[74],"considered":[75],"in":[76,199],"initial":[78],"tests.":[80,112],"To":[81],"extend":[82],"models,":[88],"this":[89],"paper":[90],"introduces":[91],"multi-view":[93],"(MV)":[94],"learning":[95],"framework":[96],"that":[97,174],"enhances":[98],"QoE":[99,190],"prediction":[100],"by":[101],"integrating":[102],"complementary":[103],"information":[104],"multiple":[106],"perspectives":[107],"obtained":[108],"different":[110],"We":[113],"leverage":[114],"fully":[116],"connected":[117],"deep":[118],"neural":[119],"network":[120],"with":[121],"two":[122,235],"initially":[123],"independent":[124],"branches":[125],"an":[127],"intermediate":[128],"fusion":[129],"layer":[130],"combine":[132],"insights":[133],"separate":[135,236],"feature":[136],"sets,":[137],"improving":[138],"predictive":[139],"accuracy":[140],"while":[141],"preserving":[142],"data":[143,152,228],"privacy.":[144],"Our":[145],"trained":[148],"on":[149],"synthetic":[151],"TID2008":[157],"image":[158],"database,":[159],"ensuring":[160],"controlled":[162],"yet":[163],"representative":[164],"evaluation":[165,222],"environment.":[166],"On":[167,182],"one":[169,201],"hand,":[170,185],"results":[172],"demonstrate":[173],"MV":[176,187],"technique":[177],"outperforms":[178],"all":[179],"configurations.":[181],"approach":[188],"achieves":[189],"performance":[192,215],"comparable":[193],"single-view":[196],"(SV)":[197],"model,":[198],"single":[202],"branch":[203],"analyzes":[204],"full":[206],"impact":[209],"factors.":[210],"In":[211],"particular,":[212],"largest":[214],"gain":[216],"(6.15%":[217],"\u2013":[218],"142.69%)":[219],"across":[220],"most":[221],"metrics":[223],"occurred":[224],"when":[225],"input":[227],"equally":[231],"divided":[232],"views.":[237]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-03T00:00:00"}
