{"id":"https://openalex.org/W2802214191","doi":"https://doi.org/10.1117/12.2309517","title":"A no-reference image and video visual quality metric based on machine learning","display_name":"A no-reference image and video visual quality metric based on machine learning","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2802214191","doi":"https://doi.org/10.1117/12.2309517","mag":"2802214191"},"language":"en","primary_location":{"id":"doi:10.1117/12.2309517","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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/A5076403380","display_name":"Viacheslav Voronin","orcid":"https://orcid.org/0000-0001-8114-6383"},"institutions":[{"id":"https://openalex.org/I4210097717","display_name":"Don State Technical University","ror":"https://ror.org/00x5je630","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210097717"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Viacheslav V. Voronin","raw_affiliation_strings":["Don State Technical Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Don State Technical Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210097717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021297399","display_name":"Vladimir Frantc","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097717","display_name":"Don State Technical University","ror":"https://ror.org/00x5je630","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210097717"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Frantc","raw_affiliation_strings":["Don State Technical Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Don State Technical Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210097717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059103390","display_name":"Evgeny A. Semenishchev","orcid":"https://orcid.org/0000-0001-9817-0021"},"institutions":[{"id":"https://openalex.org/I4210097717","display_name":"Don State Technical University","ror":"https://ror.org/00x5je630","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210097717"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgenii Semenishchev","raw_affiliation_strings":["Don State Technical Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Don State Technical Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210097717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074767352","display_name":"Maxim Minkin","orcid":"https://orcid.org/0000-0001-6429-6937"},"institutions":[{"id":"https://openalex.org/I4210097717","display_name":"Don State Technical University","ror":"https://ror.org/00x5je630","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210097717"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maxim Minkin","raw_affiliation_strings":["Don State Technical Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Don State Technical Univ. (Russian Federation)","institution_ids":["https://openalex.org/I4210097717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091398671","display_name":"Aliy Delov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aliy Delov","raw_affiliation_strings":["SC \"Science and Innovations\" (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"SC \"Science and Innovations\" (Russian Federation)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076403380"],"corresponding_institution_ids":["https://openalex.org/I4210097717"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03848121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"25","last_page":"25"},"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":0.9955000281333923,"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":0.9886000156402588,"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":0.7583526372909546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7496585845947266},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7109991312026978},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.7012221813201904},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6653629541397095},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6276530623435974},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.6254756450653076},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.5902886986732483},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5845264196395874},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5542007088661194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5051894783973694},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.48715993762016296},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4854898750782013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47397273778915405},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4139666259288788},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3395760655403137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21423014998435974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13964053988456726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583526372909546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7496585845947266},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7109991312026978},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.7012221813201904},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6653629541397095},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6276530623435974},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.6254756450653076},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.5902886986732483},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5845264196395874},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5542007088661194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5051894783973694},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.48715993762016296},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4854898750782013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47397273778915405},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4139666259288788},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3395760655403137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21423014998435974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13964053988456726},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2309517","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1973207880","https://openalex.org/W2078288556","https://openalex.org/W2097614539","https://openalex.org/W2113130702","https://openalex.org/W2136884631","https://openalex.org/W2139791281","https://openalex.org/W4240238560","https://openalex.org/W6621633700","https://openalex.org/W6669990866","https://openalex.org/W6680207337"],"related_works":["https://openalex.org/W2046455617","https://openalex.org/W1996919562","https://openalex.org/W4385804965","https://openalex.org/W2611572988","https://openalex.org/W2288214742","https://openalex.org/W3159932828","https://openalex.org/W2943685190","https://openalex.org/W3027116454","https://openalex.org/W4281615817","https://openalex.org/W2802214191"],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"a":[3,28,34,56],"novel":[4],"visual":[5],"quality":[6,12,22,41,49],"metric":[7,50],"for":[8],"lossy":[9],"compressed":[10],"video":[11,39],"assessment.":[13],"High":[14],"degree":[15],"of":[16,21,27,37],"correlation":[17],"with":[18,52,67],"subjective":[19],"estimations":[20],"is":[23],"due":[24],"to":[25],"using":[26],"convolutional":[29],"neural":[30],"network":[31],"trained":[32],"on":[33,63],"large":[35],"amount":[36],"pairs":[38],"sequence-subjective":[40],"score.":[42],"We":[43],"demonstrate":[44],"how":[45],"our":[46],"predicted":[47],"no-reference":[48],"correlates":[51],"qualitative":[53],"opinion":[54],"in":[55],"human":[57],"observer":[58],"study.":[59],"Results":[60],"are":[61],"shown":[62],"the":[64],"EVVQ":[65],"dataset":[66],"comparison":[68],"existing":[69],"approaches.":[70]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}