{"id":"https://openalex.org/W4225279010","doi":"https://doi.org/10.1109/icassp43922.2022.9746376","title":"Towards Joint Frame-Level and MOS Quality Predictions with Low-Complexity Objective Models","display_name":"Towards Joint Frame-Level and MOS Quality Predictions with Low-Complexity Objective Models","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225279010","doi":"https://doi.org/10.1109/icassp43922.2022.9746376"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746376","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5037403050","display_name":"Jo\u00ebl Jung","orcid":"https://orcid.org/0000-0002-3878-6454"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Joel Jung","raw_affiliation_strings":["Palo Alto,Tencent Media Lab","Tencent Media Lab, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Palo Alto,Tencent Media Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035913809","display_name":"A. Giraud","orcid":"https://orcid.org/0000-0001-5459-8368"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Alexandre Giraud","raw_affiliation_strings":["Palo Alto,Tencent Media Lab","Tencent Media Lab, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Palo Alto,Tencent Media Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060538433","display_name":"Meijia Song","orcid":"https://orcid.org/0009-0005-2642-3727"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meijia Song","raw_affiliation_strings":["Palo Alto,Tencent Media Lab","Tencent Media Lab, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Palo Alto,Tencent Media Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101968187","display_name":"Songnan Li","orcid":"https://orcid.org/0000-0001-6931-4129"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songnan Li","raw_affiliation_strings":["Palo Alto,Tencent Media Lab","Tencent Media Lab, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Palo Alto,Tencent Media Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Palo Alto,Tencent Media Lab","Tencent Media Lab, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Palo Alto,Tencent Media Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0003-1847-8769"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Liu","raw_affiliation_strings":["Palo Alto,Tencent Media Lab","Tencent Media Lab, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Palo Alto,Tencent Media Lab","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037403050"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02623699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1800","last_page":"1804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":1.0,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7900643348693848},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.746254563331604},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5913289785385132},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.572913408279419},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5594141483306885},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5083584189414978},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4447077214717865},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.43453115224838257},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4305609464645386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4118623733520508},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36314982175827026},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08293521404266357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07966744899749756},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0771426260471344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900643348693848},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.746254563331604},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5913289785385132},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.572913408279419},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5594141483306885},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5083584189414978},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4447077214717865},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.43453115224838257},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4305609464645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4118623733520508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36314982175827026},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08293521404266357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07966744899749756},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0771426260471344},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746376","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2809031010","https://openalex.org/W2905544033","https://openalex.org/W2910270360","https://openalex.org/W2948397451","https://openalex.org/W3030933397","https://openalex.org/W3045409997","https://openalex.org/W3117748139","https://openalex.org/W6781002108"],"related_works":["https://openalex.org/W4247684345","https://openalex.org/W3112312521","https://openalex.org/W2965802358","https://openalex.org/W2170297402","https://openalex.org/W2276021436","https://openalex.org/W3199673414","https://openalex.org/W2792590808","https://openalex.org/W2057320948","https://openalex.org/W2118568109","https://openalex.org/W2104411120"],"abstract_inverted_index":{"The":[0,138],"evaluation":[1],"of":[2,5,107,132],"the":[3,19,108,120,124,128,147,150],"quality":[4,68,99],"gaming":[6,21,34,62],"content,":[7],"with":[8,45],"low-complexity":[9,41,82],"and":[10,24,30,101,127],"low-delay":[11],"approaches":[12],"is":[13,54,60,136,144,153],"a":[14,31,58,93,133],"major":[15],"challenge":[16],"raised":[17],"by":[18],"emerging":[20],"video":[22],"streaming":[23],"cloud-gaming":[25],"services.":[26],"Considering":[27],"two":[28],"existing":[29],"newly":[32],"created":[33],"databases":[35],"this":[36,90,112],"paper":[37,91],"confirms":[38],"that":[39,70],"some":[40],"metrics":[42],"match":[43],"well":[44],"subjective":[46,125],"scores":[47,126,131],"when":[48,110],"considering":[49],"usual":[50],"correlation":[51,140],"indicators.":[52],"It":[53],"however":[55],"argued":[56],"such":[57],"result":[59],"insufficient:":[61],"content":[63],"suffers":[64],"from":[65],"sudden":[66,98],"large":[67],"drops":[69],"these":[71],"indicators":[72,143],"do":[73],"not":[74],"capture.":[75],"In":[76],"addition":[77],"to":[78,96,118],"proposing":[79],"three":[80],"new":[81,94,151],"models":[83,109],"based":[84],"on":[85,149],"various":[86],"machine":[87],"learning":[88],"techniques,":[89],"introduces":[92],"indicator":[95,152],"capture":[97],"variations":[100],"reports":[102],"poor":[103],"results":[104],"for":[105],"most":[106],"applying":[111],"indicator.":[113],"Consequently,":[114],"an":[115],"original":[116],"way":[117],"train":[119],"models,":[121],"using":[122],"jointly":[123],"frame":[129],"level":[130],"full-reference":[134],"metric,":[135],"proposed.":[137],"high":[139],"through":[141],"traditional":[142],"preserved,":[145],"while":[146],"efficiency":[148],"drastically":[154],"improved.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}