{"id":"https://openalex.org/W4312914372","doi":"https://doi.org/10.1109/tbc.2022.3210385","title":"Speeding Up Subjective Video Quality Assessment via Hybrid Active Learning","display_name":"Speeding Up Subjective Video Quality Assessment via Hybrid Active Learning","publication_year":2022,"publication_date":"2022-10-05","ids":{"openalex":"https://openalex.org/W4312914372","doi":"https://doi.org/10.1109/tbc.2022.3210385"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2022.3210385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2022.3210385","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/9912322","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049730448","display_name":"Xiaochen Liu","orcid":"https://orcid.org/0000-0002-7861-629X"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaochen Liu","raw_affiliation_strings":["College of Information, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025568465","display_name":"Wei Song","orcid":"https://orcid.org/0000-0002-0604-5563"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Song","raw_affiliation_strings":["College of Information, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106627231","display_name":"Qi He","orcid":"https://orcid.org/0009-0009-5509-0983"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi He","raw_affiliation_strings":["College of Information, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004266537","display_name":"Mario Di Mauro","orcid":"https://orcid.org/0000-0001-6574-2601"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Di Mauro","raw_affiliation_strings":["Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026941307","display_name":"Antonio Liotta","orcid":"https://orcid.org/0000-0002-2773-4421"},"institutions":[{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Liotta","raw_affiliation_strings":["Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy","institution_ids":["https://openalex.org/I171543936"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049730448"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":null,"apc_paid":null,"fwci":0.8151,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73756187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"69","issue":"1","first_page":"165","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9976999759674072,"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":0.7563536763191223},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.7283626198768616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6161360740661621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5781837701797485},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5498802065849304},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.48147693276405334},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47500669956207275},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4599010944366455},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4521387815475464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4391610026359558},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.41838568449020386},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.2825869917869568},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.1357736587524414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11196815967559814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0868414044380188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563536763191223},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.7283626198768616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6161360740661621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5781837701797485},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5498802065849304},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.48147693276405334},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47500669956207275},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4599010944366455},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4521387815475464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4391610026359558},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.41838568449020386},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2825869917869568},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.1357736587524414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11196815967559814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0868414044380188},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tbc.2022.3210385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2022.3210385","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"},{"id":"pmh:oai:alma.39UBZ_INST:11294748800001241","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9912322","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:unibz.it:11294748800001241","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9912322","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:alma.39UBZ_INST:11294748800001241","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9912322","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7200000286102295,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G4273990776","display_name":null,"funder_award_id":"61972240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8945727376","display_name":null,"funder_award_id":"61702323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":53,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1983954912","https://openalex.org/W1985327665","https://openalex.org/W1993615002","https://openalex.org/W2033255535","https://openalex.org/W2048042940","https://openalex.org/W2117535912","https://openalex.org/W2123108597","https://openalex.org/W2163031058","https://openalex.org/W2164545125","https://openalex.org/W2177315755","https://openalex.org/W2181646778","https://openalex.org/W2220545094","https://openalex.org/W2274441380","https://openalex.org/W2295497133","https://openalex.org/W2341531400","https://openalex.org/W2402418965","https://openalex.org/W2474516010","https://openalex.org/W2515449786","https://openalex.org/W2611434713","https://openalex.org/W2791258091","https://openalex.org/W2795658001","https://openalex.org/W2799959769","https://openalex.org/W2802641332","https://openalex.org/W2894008053","https://openalex.org/W2897202335","https://openalex.org/W2901475725","https://openalex.org/W2912218663","https://openalex.org/W2963199592","https://openalex.org/W2963562284","https://openalex.org/W2964322594","https://openalex.org/W2966516593","https://openalex.org/W2994785085","https://openalex.org/W3003957020","https://openalex.org/W3047188278","https://openalex.org/W3080353943","https://openalex.org/W3090697262","https://openalex.org/W3100191342","https://openalex.org/W3105164497","https://openalex.org/W3122512728","https://openalex.org/W3123489609","https://openalex.org/W3171287051","https://openalex.org/W3185904346","https://openalex.org/W3188648403","https://openalex.org/W3199711941","https://openalex.org/W3209403948","https://openalex.org/W4206039985","https://openalex.org/W4288618204","https://openalex.org/W4403279739","https://openalex.org/W6754965950","https://openalex.org/W6758804491","https://openalex.org/W6783495561","https://openalex.org/W6873227766"],"related_works":["https://openalex.org/W2046455617","https://openalex.org/W2943685190","https://openalex.org/W1996919562","https://openalex.org/W3027116454","https://openalex.org/W2061256681","https://openalex.org/W4234477160","https://openalex.org/W4385804965","https://openalex.org/W2151940166","https://openalex.org/W3208761720","https://openalex.org/W3174437687"],"abstract_inverted_index":{"Subjective":[0],"video":[1,199],"quality":[2,13,22,93,150,200],"assessment":[3],"(VQA)":[4],"is":[5,256,269],"the":[6,19,31,59,72,86,91,97,110,139,177,211,221,228,237,264,272,282,287,291],"most":[7,73],"reliable":[8],"way":[9],"to":[10,103,124,136,144,158,235],"get":[11],"accurate":[12],"scores,":[14],"providing":[15],"first-hand":[16],"data":[17,65,231],"on":[18,49,58,71,82,189],"research":[20],"of":[21,23,33,61,112,142,163,180,213,220,230,239,263,274,281],"experience":[24],"(QoE).":[25],"However,":[26],"traditional":[27],"subjective":[28,45,113,169,183,214,292],"VQA":[29,46,170,215],"has":[30],"disadvantage":[32],"being":[34],"cumbersome":[35],"and":[36,52,90,196,216,290],"time-consuming.":[37],"In":[38,233],"this":[39,167],"paper,":[40],"we":[41,244,278],"propose":[42],"an":[43,197],"efficient":[44],"framework":[47,117],"based":[48,81],"hybrid":[50,83],"information":[51,84],"active":[53,62],"learning,":[54],"named":[55],"HA-SVQA.":[56],"Built":[57],"principle":[60],"learning":[63],"for":[64],"annotation,":[66],"HA-SVQA":[67,106,206,240,255],"allows":[68],"iterative":[69],"assessments":[70],"valuable":[74],"or":[75,224],"informative":[76],"videos,":[77],"which":[78,147,268],"are":[79,156],"selected":[80],"from":[85],"subject\u2019s":[87],"prior":[88],"decisions":[89],"objective":[92],"predictions.":[94],"By":[95,166],"eliminating":[96],"redundant":[98],"(or":[99],"less":[100],"valuable)":[101],"videos":[102,123,143,155],"be":[104,145,172],"assessed,":[105,146],"can":[107,171,207],"speed":[108,209],"up":[109,210],"process":[111,212],"VQA.":[114,293],"Concretely,":[115],"our":[116,164],"starts":[118],"with":[119,249,271],"a":[120,131,181,246],"few":[121],"quality-known":[122],"initialize":[125],"dual-regression":[126],"models.":[127],"It":[128],"then":[129],"uses":[130],"scoring-difference":[132],"stratified":[133],"sampling":[134],"strategy":[135],"iteratively":[137],"select":[138],"next":[140],"group":[141],"contain":[148],"high":[149],"uncertainty.":[151],"The":[152,202],"newly":[153],"scored":[154],"used":[157],"continually":[159],"update":[160],"every":[161],"part":[162],"framework.":[165],"way,":[168],"stopped":[173],"early":[174],"while":[175],"meeting":[176],"acceptable":[178],"goal":[179],"full-time":[182],"study.":[184],"We":[185,252],"conducted":[186,245],"simulation":[187,275],"experiments":[188],"three":[190],"different":[191],"datasets:":[192],"LIVE,":[193],"LIVE":[194],"VQC,":[195],"underwater":[198],"dataset.":[201],"results":[203],"show":[204],"that":[205,254,284],"effectively":[208],"reduce":[217],"about":[218,261],"1/3":[219,262],"human":[222,266],"workload":[223],"time":[225],"cost":[226],"in":[227,241,259],"presence":[229],"redundancy.":[232],"order":[234],"investigate":[236],"effectiveness":[238],"more":[242],"depth,":[243],"field":[247],"experiment":[248],"deep-sea":[250],"videos.":[251],"found":[253],"still":[257],"effective":[258],"reducing":[260],"overall":[265],"workload,":[267],"consistent":[270],"conclusion":[273],"experiments.":[276],"Finally,":[277],"discussed":[279],"some":[280],"factors":[283],"potentially":[285],"affect":[286],"QoE":[288],"modelling":[289]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}