{"id":"https://openalex.org/W3015528658","doi":"https://doi.org/10.1109/icassp40776.2020.9053739","title":"Full Reference Video Quality Measures Improvement Using Neural Networks","display_name":"Full Reference Video Quality Measures Improvement Using Neural Networks","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015528658","doi":"https://doi.org/10.1109/icassp40776.2020.9053739","mag":"3015528658"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5033546468","display_name":"Lohic Fotio Tiotsop","orcid":"https://orcid.org/0000-0001-5127-9935"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lohic Fotio Tiotsop","raw_affiliation_strings":["Control and Computer Engineering Department, Politecnico di Torino, Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Computer Engineering Department, Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055486014","display_name":"Antonio Servetti","orcid":"https://orcid.org/0000-0002-0159-5718"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Servetti","raw_affiliation_strings":["Control and Computer Engineering Department, Politecnico di Torino, Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Computer Engineering Department, Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052707121","display_name":"Enrico Masala","orcid":"https://orcid.org/0000-0001-8906-354X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Masala","raw_affiliation_strings":["Control and Computer Engineering Department, Politecnico di Torino, Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Computer Engineering Department, Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3916,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60681781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9394","issue":null,"first_page":"2737","last_page":"2741"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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":0.9961000084877014,"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":0.8743405342102051},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.7558070421218872},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7517707347869873},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.6939718127250671},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6831201910972595},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6637874841690063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6232828497886658},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5510905981063843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5430260896682739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5005044937133789},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4447922706604004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3912469446659088},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.2476789951324463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11755737662315369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8743405342102051},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.7558070421218872},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7517707347869873},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.6939718127250671},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6831201910972595},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6637874841690063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6232828497886658},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5510905981063843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5430260896682739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5005044937133789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4447922706604004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3912469446659088},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2476789951324463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11755737662315369},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/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/icassp40776.2020.9053739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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":22,"referenced_works":["https://openalex.org/W4354222","https://openalex.org/W1580389772","https://openalex.org/W1913675087","https://openalex.org/W1967654255","https://openalex.org/W1982995138","https://openalex.org/W2017336566","https://openalex.org/W2019206873","https://openalex.org/W2046119925","https://openalex.org/W2095569829","https://openalex.org/W2101370033","https://openalex.org/W2102817897","https://openalex.org/W2132549992","https://openalex.org/W2133665775","https://openalex.org/W2146611287","https://openalex.org/W2172920418","https://openalex.org/W2184487824","https://openalex.org/W2243015210","https://openalex.org/W2785907871","https://openalex.org/W2963398015","https://openalex.org/W2963562284","https://openalex.org/W6674553587","https://openalex.org/W6747868440"],"related_works":["https://openalex.org/W4388138958","https://openalex.org/W1996919562","https://openalex.org/W2046455617","https://openalex.org/W2809031010","https://openalex.org/W2170297402","https://openalex.org/W2276021436","https://openalex.org/W3199673414","https://openalex.org/W2118568109","https://openalex.org/W2057320948","https://openalex.org/W2561364921"],"abstract_inverted_index":{"The":[0],"accuracy":[1,22],"of":[2,23,38,58,84,119,128],"video":[3,25,61,93],"quality":[4,26,57,94],"metrics":[5,27],"(VQMs)":[6,28],"is":[7,29],"an":[8],"important":[9],"issue":[10],"for":[11,82],"several":[12,24,132],"applications.":[13],"In":[14,41],"this":[15,89],"work,":[16],"first":[17],"we":[18,75],"observe":[19],"that":[20,46,99],"the":[21,33,39,47,55,59,85,103,107,120,126],"strongly":[30],"related":[31],"to":[32,52,114],"spatial":[34],"complexity":[35],"index":[36,97],"(SI)":[37],"source.":[40],"particular,":[42],"our":[43,129],"investigation":[44],"suggests":[45],"VQMs":[48,86,104],"are":[49],"more":[50],"likely":[51],"inaccurately":[53],"predict":[54],"subjective":[56,121],"processed":[60],"sequences":[62],"derived":[63],"from":[64],"sources":[65],"characterized":[66],"by":[67],"low":[68],"SI.":[69],"To":[70],"address":[71],"such":[72],"a":[73,77,92,116],"situation,":[74],"propose":[76],"machine":[78],"learning":[79],"based":[80],"improvement":[81],"each":[83],"considered":[87,105],"in":[88,106],"work":[90],"and":[91],"metric":[95],"fusion":[96],"(VQMFI)":[98],"jointly":[100],"exploits":[101],"all":[102],"study":[108],"as":[109,111],"well":[110],"spatiotemporal":[112],"features":[113],"produce":[115],"better":[117],"estimation":[118],"quality.":[122],"Computational":[123],"results":[124],"demonstrate":[125],"superiority":[127],"proposals":[130],"on":[131],"datasets.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
