{"id":"https://openalex.org/W2971325967","doi":"https://doi.org/10.1109/icip.2019.8803023","title":"Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks","display_name":"Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971325967","doi":"https://doi.org/10.1109/icip.2019.8803023","mag":"2971325967"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5110678102","display_name":"Pei Wu","orcid":"https://orcid.org/0009-0003-2280-8916"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Wu","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015559715","display_name":"Wenxin Ding","orcid":"https://orcid.org/0009-0003-3205-8610"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Ding","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100514598","display_name":"Zhixiang You","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiang You","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120489","display_name":"Ping An","orcid":"https://orcid.org/0000-0002-4995-728X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping An","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5084,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.69611224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3187","last_page":"3191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9919999837875366,"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":0.9843000173568726,"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":0.8496569395065308},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.7296637296676636},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7282427549362183},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6142206788063049},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6080073118209839},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5575253367424011},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.5240285992622375},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.5064471960067749},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4813724160194397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46845483779907227},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4654909372329712},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4414260983467102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33800607919692993},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3212738633155823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2940942049026489},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.17525696754455566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09058502316474915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8496569395065308},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.7296637296676636},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7282427549362183},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6142206788063049},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6080073118209839},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5575253367424011},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.5240285992622375},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.5064471960067749},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4813724160194397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46845483779907227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4654909372329712},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4414260983467102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33800607919692993},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3212738633155823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2940942049026489},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.17525696754455566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09058502316474915},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1993169536","https://openalex.org/W1993721485","https://openalex.org/W2036887984","https://openalex.org/W2040617105","https://openalex.org/W2064076387","https://openalex.org/W2117535912","https://openalex.org/W2133665775","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2230418835","https://openalex.org/W2790478331","https://openalex.org/W2851336928","https://openalex.org/W2892247518","https://openalex.org/W3182211633","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W4234477160","https://openalex.org/W2151940166","https://openalex.org/W2030653564","https://openalex.org/W2139907749","https://openalex.org/W2607810647","https://openalex.org/W2067363957","https://openalex.org/W2547544769","https://openalex.org/W2126011296","https://openalex.org/W1993169536","https://openalex.org/W1965805612"],"abstract_inverted_index":{"As":[0],"a":[1,73,112],"new":[2],"medium,":[3],"Virtual":[4],"Reality":[5],"(VR)":[6],"has":[7,156],"attracted":[8],"widespread":[9],"attentions":[10],"and":[11,15,24,41,82,159],"research":[12],"interests.":[13],"More":[14],"more":[16],"researchers":[17],"have":[18],"built":[19],"their":[20],"VR":[21,33,63,74,120,125,131],"image/video":[22],"database":[23,51,78,95],"devise":[25],"related":[26],"algorithms.":[27],"However,":[28],"the":[29,44,50,84,88,91,94,119,129,144,152,160,165,170],"existing":[30],"methods":[31],"of":[32,43,90],"video":[34,75,121,132],"quality":[35,64,76,106,122,137],"assessment":[36,65,77,107],"are":[37],"not":[38,53],"very":[39],"effective,":[40],"one":[42],"most":[45],"important":[46],"reasons":[47],"is":[48,52,96,140,162],"that":[49,151],"suitable.":[54],"To":[55],"this":[56,58],"end,":[57],"paper":[59],"proposes":[60],"an":[61],"efficient":[62],"method":[66],"on":[67],"self-built":[68],"database.":[69,92],"Firstly,":[70],"we":[71,110,154],"establish":[72],"with":[79,169],"subjective":[80],"scores,":[81],"add":[83],"projection":[85,171],"format":[86],"to":[87,98,117,142],"production":[89],"Secondly,":[93],"proved":[97],"be":[99],"valid":[100],"by":[101],"using":[102],"some":[103],"traditional":[104],"image":[105],"metrics.":[108],"Lastly,":[109],"design":[111],"3D":[113],"convolutional":[114],"neural":[115],"network":[116,153],"predict":[118],"without":[123],"reference":[124],"video.":[126],"Meanwhile,":[127],"taking":[128],"pre-processed":[130],"patches":[133],"as":[134],"input,":[135],"different":[136],"score":[138],"strategy":[139],"applied":[141],"get":[143],"final":[145],"score.":[146],"The":[147],"experimental":[148],"results":[149],"surface":[150],"designed":[155],"good":[157],"results,":[158],"performance":[161],"improved":[163],"after":[164],"weight":[166],"calculation":[167],"combined":[168],"format.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}