{"id":"https://openalex.org/W4405522853","doi":"https://doi.org/10.1109/iisa62523.2024.10786685","title":"Reliability of CNN-Based No-Reference Video Quality Metrics","display_name":"Reliability of CNN-Based No-Reference Video Quality Metrics","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4405522853","doi":"https://doi.org/10.1109/iisa62523.2024.10786685"},"language":"en","primary_location":{"id":"doi:10.1109/iisa62523.2024.10786685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa62523.2024.10786685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Information, Intelligence, Systems &amp;amp; Applications (IISA)","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/A5063003122","display_name":"C Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"C. Lee","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047389517","display_name":"D. Seok","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"D. Seok","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454693","display_name":"Donghyun Kim","orcid":"https://orcid.org/0000-0003-1960-0527"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"D. Kim","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566090","display_name":"Jaepil Ko","orcid":"https://orcid.org/0000-0002-0625-092X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"J. Ko","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100360892","display_name":"Min Jung Kim","orcid":"https://orcid.org/0000-0003-4949-1237"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"M. Kim","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28542105,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.992900013923645,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9918000102043152,"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":0.9904000163078308,"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":0.8080763816833496},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7548996210098267},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5584765672683716},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5253702402114868},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4273974299430847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3374864459037781},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1000748872756958},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.07673013210296631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8080763816833496},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7548996210098267},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5584765672683716},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5253702402114868},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4273974299430847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3374864459037781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1000748872756958},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.07673013210296631},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa62523.2024.10786685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa62523.2024.10786685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Information, Intelligence, Systems &amp;amp; Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1586387394","display_name":null,"funder_award_id":"NRF-2022R1F1A1073557","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1987102261","https://openalex.org/W1995060904","https://openalex.org/W2125654704","https://openalex.org/W2127349080","https://openalex.org/W2965644659","https://openalex.org/W3174437687","https://openalex.org/W3193919962","https://openalex.org/W4287888462","https://openalex.org/W4312818079","https://openalex.org/W4387068132","https://openalex.org/W4388499609","https://openalex.org/W6640425456"],"related_works":["https://openalex.org/W2033512842","https://openalex.org/W4233600955","https://openalex.org/W4322734194","https://openalex.org/W3116237489","https://openalex.org/W4404996554","https://openalex.org/W2913665393","https://openalex.org/W2369695847","https://openalex.org/W3005535424","https://openalex.org/W2994319598","https://openalex.org/W2047067935"],"abstract_inverted_index":{"As":[0],"the":[1,73,91],"multimedia":[2],"contents":[3],"have":[4,29,41,53,82],"been":[5,30],"increasingly":[6],"delivered":[7],"over":[8],"networks,":[9],"quality":[10,27],"monitoring":[11],"has":[12],"become":[13],"an":[14],"important":[15],"issue.":[16],"Although":[17],"full-reference":[18],"(FR)":[19],"and":[20,33],"reduced-reference":[21],"(RR)":[22],"methods":[23,40,52,98],"for":[24],"objective":[25],"video":[26,61,67],"measurements":[28],"successfully":[31],"developed":[32],"adapted":[34],"as":[35],"international":[36],"standards,":[37],"no-reference":[38],"(NR)":[39],"failed":[42],"to":[43],"produce":[44],"satisfactory":[45],"performance.":[46],"However,":[47],"recently":[48],"deep-learning":[49,95],"based":[50,96],"NR":[51,97],"shown":[54],"promising":[55],"results.":[56],"In":[57,86],"particular,":[58],"when":[59],"test":[60],"sets":[62],"are":[63],"different":[64],"from":[65],"training":[66],"sets,":[68],"it":[69],"is":[70],"observed":[71],"that":[72],"performance":[74],"can":[75],"be":[76],"substantially":[77],"lower.":[78],"Also,":[79],"they":[80],"still":[81],"a":[83],"reliability":[84,93],"problem.":[85],"this":[87],"paper,":[88],"we":[89],"explore":[90],"reasoning":[92],"of":[94],"with":[99],"various":[100],"experiments.":[101]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
