{"id":"https://openalex.org/W2895574518","doi":"https://doi.org/10.1109/3dtv.2018.8478542","title":"CHANNEL-MISMATCH DETECTION ALGORITHM FOR STEREOSCOPIC VIDEO USING CONVOLUTIONAL NEURAL NETWORK","display_name":"CHANNEL-MISMATCH DETECTION ALGORITHM FOR STEREOSCOPIC VIDEO USING CONVOLUTIONAL NEURAL NETWORK","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2895574518","doi":"https://doi.org/10.1109/3dtv.2018.8478542","mag":"2895574518"},"language":"en","primary_location":{"id":"doi:10.1109/3dtv.2018.8478542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2018.8478542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","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/A5068339851","display_name":"Sergey Lavrushkin","orcid":"https://orcid.org/0009-0003-8544-2923"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Sergey Lavrushkin","raw_affiliation_strings":["Lomonosov Moscow State University, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Russian Federation","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020940244","display_name":"Dmitriy Vatolin","orcid":"https://orcid.org/0000-0002-8893-9340"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitriy Vatolin","raw_affiliation_strings":["Lomonosov Moscow State University, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Russian Federation","institution_ids":["https://openalex.org/I19880235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068339851"],"corresponding_institution_ids":["https://openalex.org/I19880235"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1098002,"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":0.9994000196456909,"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":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9983000159263611,"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":0.8131258487701416},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7729649543762207},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.742956817150116},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7099759578704834},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6888084411621094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6763337254524231},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5895751118659973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5583347678184509},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5510240793228149},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5093065500259399},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4735623598098755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131258487701416},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7729649543762207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.742956817150116},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7099759578704834},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6888084411621094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6763337254524231},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5895751118659973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5583347678184509},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5510240793228149},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5093065500259399},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4735623598098755},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dtv.2018.8478542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2018.8478542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","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":16,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2006668757","https://openalex.org/W2007698864","https://openalex.org/W2015207482","https://openalex.org/W2073364502","https://openalex.org/W2098655989","https://openalex.org/W2163605009","https://openalex.org/W2174855376","https://openalex.org/W2181013210","https://openalex.org/W2329762322","https://openalex.org/W2560104731","https://openalex.org/W6638667902","https://openalex.org/W6651905279","https://openalex.org/W6652329021","https://openalex.org/W6684191040","https://openalex.org/W6730442849"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W1536158975","https://openalex.org/W4308623176","https://openalex.org/W4230676417","https://openalex.org/W2019696434"],"abstract_inverted_index":{"Channel":[0],"mismatch":[1],"(the":[2],"result":[3],"of":[4,27,58,85,101],"swapping":[5],"left":[6],"and":[7,62,89],"right":[8],"views)":[9],"is":[10],"a":[11,23,42,47,83],"3D-video":[12],"artifact":[13],"that":[14,96],"can":[15],"cause":[16],"major":[17],"viewer":[18],"discomfort.":[19],"This":[20],"work":[21],"presents":[22],"novel":[24],"high-accuracy":[25],"method":[26],"channel-mismatch":[28,53,93],"detection.":[29],"In":[30],"addition":[31],"to":[32],"the":[33,56,59,71,75],"features":[34,73],"described":[35,72],"in":[36,99],"our":[37],"previous":[38],"work,":[39],"we":[40],"introduce":[41],"new":[43],"feature":[44],"based":[45],"on":[46,55,70,82],"convolutional":[48],"neural":[49],"network;":[50],"it":[51,90],"predicts":[52],"probability":[54],"basis":[57],"stereoscopic":[60,103],"views":[61],"corresponding":[63],"disparity":[64],"maps.":[65],"A":[66],"logistic-regression":[67],"model":[68,81],"trained":[69],"makes":[74],"final":[76],"prediction.":[77],"We":[78],"tested":[79],"this":[80],"set":[84],"900":[86],"stereoscopic-video":[87],"scenes,":[88],"outperformed":[91],"existing":[92],"detection":[94],"methods":[95],"previously":[97],"served":[98],"analyses":[100],"full-length":[102],"movies.":[104]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
