{"id":"https://openalex.org/W3175493693","doi":"https://doi.org/10.1109/icmew53276.2021.9455974","title":"Practical Video Quality Assessment Of User Generated Content","display_name":"Practical Video Quality Assessment Of User Generated Content","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3175493693","doi":"https://doi.org/10.1109/icmew53276.2021.9455974","mag":"3175493693"},"language":"en","primary_location":{"id":"doi:10.1109/icmew53276.2021.9455974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew53276.2021.9455974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","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/A5103007977","display_name":"Jari Korhonen","orcid":"https://orcid.org/0000-0003-4354-5310"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jari Korhonen","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076479435","display_name":"Xuanzheng Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanzheng Wen","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008282602","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0001-5493-961X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407860","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-2948-6468"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06831683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.992900013923645,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.982699990272522,"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":0.8469059467315674},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7554376125335693},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6752927899360657},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6186360120773315},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5936309099197388},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.47583580017089844},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.4637046456336975},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.4188598692417145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31095099449157715},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.21599406003952026},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.1966908574104309},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14563313126564026},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12298554182052612},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06295177340507507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8469059467315674},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7554376125335693},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6752927899360657},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6186360120773315},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5936309099197388},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.47583580017089844},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.4637046456336975},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.4188598692417145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31095099449157715},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.21599406003952026},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.1966908574104309},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14563313126564026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12298554182052612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06295177340507507},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew53276.2021.9455974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew53276.2021.9455974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2048042940","https://openalex.org/W2194775991","https://openalex.org/W2950154603","https://openalex.org/W2965644659","https://openalex.org/W2970478035","https://openalex.org/W2996244170","https://openalex.org/W3035595647","https://openalex.org/W3093431261","https://openalex.org/W3099047215","https://openalex.org/W3167057019","https://openalex.org/W6796096737"],"related_works":["https://openalex.org/W4388138958","https://openalex.org/W1996919562","https://openalex.org/W2046455617","https://openalex.org/W4390244677","https://openalex.org/W2883239366","https://openalex.org/W4390768785","https://openalex.org/W3127182254","https://openalex.org/W1543922763","https://openalex.org/W1971541619","https://openalex.org/W2053916852"],"abstract_inverted_index":{"During":[0],"the":[1,19,77,84,94],"past":[2],"few":[3],"years,":[4],"video":[5,33,55],"quality":[6,34,56],"assessment":[7],"(VQA)":[8],"of":[9,53,76,93],"user":[10,39],"generated":[11,40],"content":[12],"(UGC)":[13],"has":[14,96],"attracted":[15],"considerable":[16],"attention":[17],"in":[18,42,80,101,105],"research":[20],"community.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"propose":[26],"a":[27,31,59,73],"practical":[28,87],"architecture":[29,46],"for":[30,37,88,99],"versatile":[32],"model,":[35],"designed":[36],"assessing":[38],"videos":[41],"particular.":[43],"The":[44,91],"proposed":[45,78],"is":[47,86],"based":[48],"on":[49],"our":[50],"earlier":[51],"design":[52],"two-level":[54],"model":[57,79,85,95],"with":[58,64],"convolutional":[60],"neural":[61],"network":[62],"(CNN-TLVQM),":[63],"various":[65],"improvements":[66],"and":[67],"re-designed":[68],"elements.":[69],"We":[70],"have":[71],"built":[72],"fast":[74],"implementation":[75,92],"C++,":[81],"demonstrating":[82],"that":[83],"real-life":[89],"applications.":[90],"been":[97],"submitted":[98],"evaluation":[100],"ICME":[102],"UGCVQA":[103],"Challenge":[104],"2021.":[106]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
