{"id":"https://openalex.org/W3160476562","doi":"https://doi.org/10.1109/icassp39728.2021.9414231","title":"Multi-Scale Feature-Guided Stereoscopic Video Quality Assessment Based on 3d Convolutional Neural Network","display_name":"Multi-Scale Feature-Guided Stereoscopic Video Quality Assessment Based on 3d Convolutional Neural Network","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160476562","doi":"https://doi.org/10.1109/icassp39728.2021.9414231","mag":"3160476562"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101532300","display_name":"Yingjie Feng","orcid":"https://orcid.org/0000-0002-9413-3239"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Feng","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036035213","display_name":"Sumei Li","orcid":"https://orcid.org/0000-0002-4793-3161"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sumei Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062490905","display_name":"Yongli Chang","orcid":"https://orcid.org/0000-0002-2803-6983"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Chang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.9548,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83720856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2095","last_page":"2099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9934999942779541,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8648205995559692},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8346115350723267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7009303569793701},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6437764167785645},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6413565278053284},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5452528595924377},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5450530052185059},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.527980387210846},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5131509900093079},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5130966901779175},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.477533221244812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4641856551170349},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41589516401290894},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3630475103855133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1536080241203308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8648205995559692},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8346115350723267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7009303569793701},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6437764167785645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6413565278053284},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5452528595924377},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5450530052185059},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.527980387210846},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5131509900093079},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5130966901779175},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.477533221244812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4641856551170349},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41589516401290894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3630475103855133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1536080241203308},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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":28,"referenced_works":["https://openalex.org/W1059851026","https://openalex.org/W1522301498","https://openalex.org/W1983364832","https://openalex.org/W2007817642","https://openalex.org/W2116360511","https://openalex.org/W2130526545","https://openalex.org/W2140583928","https://openalex.org/W2595465409","https://openalex.org/W2766596268","https://openalex.org/W2774323665","https://openalex.org/W2802498524","https://openalex.org/W2851336928","https://openalex.org/W2884585870","https://openalex.org/W2892027172","https://openalex.org/W2922509574","https://openalex.org/W2963420686","https://openalex.org/W2963840672","https://openalex.org/W2964121744","https://openalex.org/W2997463005","https://openalex.org/W3001581174","https://openalex.org/W3002132734","https://openalex.org/W3020521460","https://openalex.org/W3109958243","https://openalex.org/W6631190155","https://openalex.org/W6679681242","https://openalex.org/W6696085341","https://openalex.org/W6753412334","https://openalex.org/W6779995175"],"related_works":["https://openalex.org/W1536158975","https://openalex.org/W2393788985","https://openalex.org/W2157670837","https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W2374120702","https://openalex.org/W2631594184"],"abstract_inverted_index":{"With":[0],"the":[1,8,22,106],"huge":[2],"development":[3,23],"of":[4,10,24],"stereoscopic":[5,11,25,101],"video":[6,12,26,102],"technology,":[7],"research":[9],"quality":[13,103],"assessment":[14],"(SVQA)":[15],"has":[16],"become":[17],"very":[18],"important":[19],"for":[20,53],"promoting":[21],"system.":[27],"These":[28],"years,":[29],"many":[30],"SVQA":[31,54],"methods":[32,121],"based":[33],"on":[34,98],"convolutional":[35,50],"neural":[36,51],"network":[37,52,85],"(CNN)":[38],"have":[39],"emerged.":[40],"In":[41],"this":[42,84,110],"paper,":[43],"we":[44,76],"proposed":[45,94],"a":[46,71,78,123],"multi-scale":[47,68,73],"feature-guided":[48],"3D":[49,59],"which":[55],"not":[56],"only":[57],"use":[58],"convolution":[60],"to":[61,86],"capture":[62],"spatio-temporal":[63],"features":[64],"but":[65],"also":[66],"aggregate":[67],"information":[69],"by":[70,122],"new":[72],"unit.":[74],"Besides,":[75],"employ":[77],"multi-stage":[79],"growing":[80],"attention":[81],"mechanism":[82],"in":[83],"learn":[87],"more":[88],"critical":[89],"deep":[90],"semantic":[91],"information.":[92],"The":[93],"method":[95,111],"is":[96],"tested":[97],"two":[99],"public":[100],"datasets,":[104],"and":[105,118],"result":[107],"shows":[108],"that":[109],"correlates":[112],"highly":[113],"with":[114],"human":[115],"visual":[116],"perception":[117],"outperforms":[119],"state-of-the-art":[120],"large":[124],"margin.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
