{"id":"https://openalex.org/W3090101394","doi":"https://doi.org/10.1109/icip40778.2020.9191169","title":"A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment","display_name":"A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090101394","doi":"https://doi.org/10.1109/icip40778.2020.9191169","mag":"3090101394"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191169","doi":"https://doi.org/10.1109/icip40778.2020.9191169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191169","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.10651","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015173810","display_name":"Zhengzhong Tu","orcid":"https://orcid.org/0000-0002-7594-2292","observed_orcids":["https://orcid.org/0000-0002-7594-2292"]},"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":"Zhengzhong Tu","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114832978","display_name":"Chia-Ju Chen","orcid":"https://orcid.org/0009-0003-9577-4868","observed_orcids":["https://orcid.org/0009-0003-9577-4868"]},"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":"Chia-Ju Chen","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009552579","display_name":"Li\u2013Heng Chen","orcid":"https://orcid.org/0000-0003-3800-0682","observed_orcids":["https://orcid.org/0000-0003-3800-0682"]},"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":"Li-Heng Chen","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090695020","display_name":"Neil Birkbeck","orcid":"https://orcid.org/0009-0004-7964-6636","observed_orcids":["https://orcid.org/0009-0004-7964-6636"]},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Birkbeck","raw_affiliation_strings":["YouTube Media Algorithms Team, Google Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"YouTube Media Algorithms Team, Google Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060507975","display_name":"Balu Adsumilli","orcid":"https://orcid.org/0000-0002-5187-6331","observed_orcids":["https://orcid.org/0000-0002-5187-6331"]},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balu Adsumilli","raw_affiliation_strings":["YouTube Media Algorithms Team, Google Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"YouTube Media Algorithms Team, Google Inc","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan Conrad Bovik","orcid":"https://orcid.org/0000-0001-6067-710X","observed_orcids":["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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8471,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.94774347,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"145"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/temporal-pooling","display_name":"temporal pooling","score":0.9520000219345093},{"id":"https://openalex.org/keywords/blind-video-quality-assessment","display_name":"blind video quality assessment","score":0.9750000238418579},{"id":"https://openalex.org/keywords/user-generated-video","display_name":"user-generated video","score":0.8920000195503235},{"id":"https://openalex.org/keywords/objective-video-quality-metrics","display_name":"objective video quality metrics","score":0.6050000190734863}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.9782308340072632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631667852401733},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5754179358482361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5662040710449219},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5444984436035156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48361387848854065},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.47593072056770325},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46800270676612854},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4240551292896271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38613462448120117},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.21056538820266724},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06456691026687622},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","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":3,"locations":[{"id":"doi:10.1109/icip40778.2020.9191169","doi":"https://doi.org/10.1109/icip40778.2020.9191169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191169","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.10651","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.10651","pdf_url":"https://arxiv.org/pdf/2002.10651","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2002.10651","doi":"https://doi.org/10.48550/arxiv.2002.10651","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.10651","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.10651","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.10651","pdf_url":"https://arxiv.org/pdf/2002.10651","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090101394.pdf","grobid_xml":"https://content.openalex.org/works/W3090101394.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1508192224","https://openalex.org/W1607233498","https://openalex.org/W1972859666","https://openalex.org/W1977246677","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W1994719915","https://openalex.org/W1997117005","https://openalex.org/W2013131615","https://openalex.org/W2032483316","https://openalex.org/W2040959874","https://openalex.org/W2048042940","https://openalex.org/W2074883210","https://openalex.org/W2081656196","https://openalex.org/W2102166818","https://openalex.org/W2108525416","https://openalex.org/W2114582993","https://openalex.org/W2117535912","https://openalex.org/W2133665775","https://openalex.org/W2142825011","https://openalex.org/W2147268297","https://openalex.org/W2157490214","https://openalex.org/W2165222134","https://openalex.org/W2169037956","https://openalex.org/W2194363988","https://openalex.org/W2521359813","https://openalex.org/W2524326037","https://openalex.org/W2579549997","https://openalex.org/W2603172850","https://openalex.org/W2611434713","https://openalex.org/W2735448770","https://openalex.org/W2736492128","https://openalex.org/W2767836774","https://openalex.org/W2781627827","https://openalex.org/W2791258091","https://openalex.org/W2796677919","https://openalex.org/W2809703252","https://openalex.org/W2939768411","https://openalex.org/W2965069824","https://openalex.org/W2965644659","https://openalex.org/W3015863973","https://openalex.org/W3030701471"],"related_works":["https://openalex.org/W1997117005","https://openalex.org/W6959686982","https://openalex.org/W1989143878","https://openalex.org/W2096163315","https://openalex.org/W3116293343","https://openalex.org/W2593689994","https://openalex.org/W2344620696","https://openalex.org/W2892019308","https://openalex.org/W2964576615","https://openalex.org/W2920955061"],"abstract_inverted_index":{"Many":[0],"objective":[1],"video":[2,118],"quality":[3,16,119,134],"assessment":[4],"(VQA)":[5],"algorithms":[6,111],"include":[7],"a":[8,40],"key":[9],"step":[10],"of":[11,14,29,50,58,73,89,101,132],"temporal":[12,52,74,91,104,130],"pooling":[13,31,53,75,84,92,105,131],"frame-level":[15],"scores.":[17],"However,":[18],"less":[19],"attention":[20],"has":[21],"been":[22],"paid":[23],"to":[24,44],"studying":[25],"the":[26,46,69,98,102],"relative":[27,99],"efficiencies":[28],"different":[30],"methods":[32],"on":[33,55,87,113],"noreference":[34],"(blind)":[35],"VQA.":[36],"Here":[37],"we":[38,79,122],"conduct":[39],"large-scale":[41],"comparative":[42],"evaluation":[43],"assess":[45],"capabilities":[47],"and":[48,65,71],"limitations":[49],"multiple":[51],"strategies":[54],"blind":[56],"VQA":[57,110],"usergenerated":[59],"videos.":[60],"The":[61],"study":[62],"yields":[63],"insights":[64],"general":[66],"guidance":[67],"regarding":[68],"application":[70],"selection":[72],"models.":[76,93],"In":[77],"addition,":[78],"also":[80,123],"propose":[81],"an":[82,125],"ensemble":[83],"model":[85],"built":[86],"top":[88],"high-performing":[90],"Our":[94],"experimental":[95],"results":[96],"demonstrate":[97],"efficacies":[100],"evaluated":[103,112],"models,":[106],"using":[107],"several":[108],"popular":[109],"two":[114],"recent":[115],"largescale":[116],"natural":[117],"databases.":[120],"Conclusively,":[121],"provide":[124],"empirical":[126],"recipe":[127],"for":[128],"applying":[129],"frame-based":[133],"predictions.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-08T00:00:00"}