{"id":"https://openalex.org/W4385774145","doi":"https://doi.org/10.1145/3581783.3611860","title":"StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability","display_name":"StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4385774145","doi":"https://doi.org/10.1145/3581783.3611860"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.04904","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034182283","display_name":"Tengchuan Kou","orcid":"https://orcid.org/0009-0001-1510-027X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengchuan Kou","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-1510-027X","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087407889","display_name":"Xiaohong Liu","orcid":"https://orcid.org/0000-0001-6377-4730"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6377-4730","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044700284","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0001-8162-1949"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8162-1949","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997384","display_name":"Jun Jia","orcid":"https://orcid.org/0000-0002-5424-4284"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Jia","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5424-4284","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5693-0416","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8165-9322","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101683585","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0002-6204-1313"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6204-1313","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1066","last_page":"1076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9995999932289124,"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/T13579","display_name":"Image and Video Stabilization","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9898999929428101,"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":0.987500011920929,"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":0.8115925788879395},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.7621707320213318},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.7358002066612244},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7282274961471558},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6871658563613892},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.610730767250061},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5592768788337708},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5541587471961975},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5306854248046875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4849150776863098},{"id":"https://openalex.org/keywords/pevq","display_name":"PEVQ","score":0.4468103349208832},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3938525915145874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33841657638549805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3247906565666199},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.32411444187164307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3226274847984314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26891160011291504},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.085966557264328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115925788879395},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.7621707320213318},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.7358002066612244},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7282274961471558},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6871658563613892},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.610730767250061},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5592768788337708},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5541587471961975},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5306854248046875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4849150776863098},{"id":"https://openalex.org/C156414586","wikidata":"https://www.wikidata.org/wiki/Q15995396","display_name":"PEVQ","level":5,"score":0.4468103349208832},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3938525915145874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33841657638549805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3247906565666199},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.32411444187164307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3226274847984314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26891160011291504},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.085966557264328},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3581783.3611860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.04904","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04904","pdf_url":"https://arxiv.org/pdf/2308.04904","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.04904","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04904","pdf_url":"https://arxiv.org/pdf/2308.04904","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[],"awards":[{"id":"https://openalex.org/G3736690121","display_name":null,"funder_award_id":"62225112,61831015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4024070150","display_name":null,"funder_award_id":"2023TQ0212","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4054117750","display_name":null,"funder_award_id":"61831015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8668751174","display_name":null,"funder_award_id":"62225112","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385774145.pdf","grobid_xml":"https://content.openalex.org/works/W4385774145.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1637260795","https://openalex.org/W1746505703","https://openalex.org/W1941425863","https://openalex.org/W1982471090","https://openalex.org/W2102166818","https://openalex.org/W2194363988","https://openalex.org/W2611434713","https://openalex.org/W2617811665","https://openalex.org/W2791808847","https://openalex.org/W2895817099","https://openalex.org/W2902346020","https://openalex.org/W2939995367","https://openalex.org/W2950154603","https://openalex.org/W2965644659","https://openalex.org/W2990391914","https://openalex.org/W2999765114","https://openalex.org/W3000161127","https://openalex.org/W3030701471","https://openalex.org/W3034379322","https://openalex.org/W3085824656","https://openalex.org/W3091793544","https://openalex.org/W3099047215","https://openalex.org/W3103745061","https://openalex.org/W3108568693","https://openalex.org/W3123748616","https://openalex.org/W3138516171","https://openalex.org/W3193919962","https://openalex.org/W4225292576","https://openalex.org/W4312606564","https://openalex.org/W4312818079","https://openalex.org/W4385804965","https://openalex.org/W4388191349","https://openalex.org/W6600005967","https://openalex.org/W6815619692","https://openalex.org/W6820618299"],"related_works":["https://openalex.org/W2046455617","https://openalex.org/W2611572988","https://openalex.org/W4385804965","https://openalex.org/W3027116454","https://openalex.org/W1996919562","https://openalex.org/W2345852733","https://openalex.org/W4327810846","https://openalex.org/W2205039763","https://openalex.org/W4385582026","https://openalex.org/W2811082744"],"abstract_inverted_index":{"Video":[0,112],"shakiness":[1],"is":[2,13,87],"an":[3],"unpleasant":[4],"distortion":[5],"of":[6,20,43,63,98,111,146,165],"User":[7],"Generated":[8],"Content":[9],"(UGC)":[10],"videos,":[11,133],"which":[12,107,163],"usually":[14],"caused":[15],"by":[16,150],"the":[17,41,60,73,102,109,144,171,185,193,203],"unstable":[18],"hold":[19],"cameras.":[21],"In":[22,84],"recent":[23],"years,":[24],"many":[25],"video":[26,52,64,74,90,136,147],"stabilization":[27],"algorithms":[28],"have":[29],"been":[30],"proposed,":[31],"yet":[32],"no":[33,88],"specific":[34],"and":[35,77,175,179,207,213],"accurate":[36],"metric":[37],"enables":[38],"comprehensively":[39],"evaluating":[40],"stability":[42,65,75,148,187],"videos.":[44],"Indeed,":[45],"most":[46],"existing":[47,204],"quality":[48,53],"assessment":[49],"models":[50,70,206],"evaluate":[51],"as":[54],"a":[55,123,138,157,180,196],"whole":[56],"without":[57],"specifically":[58],"taking":[59],"subjective":[61,104,200],"experience":[62],"into":[66],"consideration.":[67],"Therefore,":[68],"these":[69],"cannot":[71],"measure":[72],"explicitly":[76],"precisely":[78],"when":[79],"severe":[80],"shakes":[81],"are":[82,215],"present.":[83],"addition,":[85],"there":[86],"large-scale":[89],"database":[91,125,212],"in":[92],"public":[93],"that":[94,128,192],"includes":[95],"various":[96],"degrees":[97],"shaky":[99],"videos":[100],"with":[101,199],"corresponding":[103],"scores":[105],"available,":[106],"hinders":[108],"development":[110],"Quality":[113],"Assessment":[114],"for":[115],"Stability":[116],"(VQA-S).":[117],"To":[118],"this":[119],"end,":[120],"we":[121,154],"build":[122],"new":[124],"named":[126,161],"StableDB":[127],"contains":[129],"1,952":[130],"diversely-shaky":[131],"UGC":[132],"where":[134],"each":[135],"has":[137],"Mean":[139],"Opinion":[140],"Score":[141],"(MOS)":[142],"on":[143],"degree":[145],"rated":[149],"34":[151],"subjects.":[152],"Moreover,":[153],"elaborately":[155],"design":[156],"novel":[158],"VQA-S":[159,205],"model":[160],"StableVQA,":[162],"consists":[164],"three":[166],"feature":[167],"extractors":[168],"to":[169,183],"acquire":[170],"optical":[172],"flow,":[173],"semantic,":[174],"blur":[176],"features":[177],"respectively,":[178],"regression":[181],"layer":[182],"predict":[184],"final":[186],"score.":[188],"Extensive":[189],"experiments":[190],"demonstrate":[191],"StableVQA":[194],"achieves":[195],"higher":[197],"correlation":[198],"opinions":[201],"than":[202],"generic":[208],"VQA":[209],"models.":[210],"The":[211],"codes":[214],"available":[216],"at":[217],"https://github.com/QMME/StableVQA.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}