{"id":"https://openalex.org/W3004211383","doi":"https://doi.org/10.1109/globalsip45357.2019.8969481","title":"Wide Separate 3D Convolution for Video Super Resolution","display_name":"Wide Separate 3D Convolution for Video Super Resolution","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004211383","doi":"https://doi.org/10.1109/globalsip45357.2019.8969481","mag":"3004211383"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5010347529","display_name":"Xiafei Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiafei Yu","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada,K1N 6N5","School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada,K1N 6N5","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102917691","display_name":"Jiying Zhao","orcid":"https://orcid.org/0000-0002-7921-6503"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiying Zhao","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada,K1N 6N5","School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,ON,Canada,K1N 6N5","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9976999759674072,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9894999861717224,"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/convolution","display_name":"Convolution (computer science)","score":0.8319792747497559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7866880893707275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6423134803771973},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6299768686294556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6243136525154114},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.562139630317688},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5269559025764465},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5132217407226562},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4971604645252228},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.48256292939186096},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4433090388774872},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43090564012527466},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.42749568819999695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33523842692375183},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23841321468353271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14670801162719727},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07404091954231262}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.8319792747497559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866880893707275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6423134803771973},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6299768686294556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6243136525154114},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.562139630317688},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5269559025764465},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5132217407226562},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4971604645252228},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.48256292939186096},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4433090388774872},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43090564012527466},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.42749568819999695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33523842692375183},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23841321468353271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14670801162719727},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07404091954231262},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1665214252","https://openalex.org/W1981990039","https://openalex.org/W1983364832","https://openalex.org/W2320725294","https://openalex.org/W2414711238","https://openalex.org/W2476548250","https://openalex.org/W2557227117","https://openalex.org/W2560674852","https://openalex.org/W2601564443","https://openalex.org/W2798664922","https://openalex.org/W2883429621","https://openalex.org/W2888285221","https://openalex.org/W2888703449","https://openalex.org/W2906021645","https://openalex.org/W2953133772","https://openalex.org/W2962927175","https://openalex.org/W2963155035","https://openalex.org/W2964040059","https://openalex.org/W2964121744","https://openalex.org/W3034475761","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6716109767","https://openalex.org/W6754089586","https://openalex.org/W6757491820"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1967654336","https://openalex.org/W2060632806","https://openalex.org/W1530267862","https://openalex.org/W2995690499","https://openalex.org/W1494405360","https://openalex.org/W2050955821","https://openalex.org/W2153529351","https://openalex.org/W2040149295","https://openalex.org/W2016848112"],"abstract_inverted_index":{"Video":[0],"super-resolution":[1],"(VSR)":[2],"aims":[3],"to":[4,45,62,73,99,147],"recover":[5],"realistic":[6],"high-resolution":[7,84],"(HR)":[8],"frame":[9,16],"from":[10],"its":[11],"corresponding":[12],"center":[13],"low-resolution":[14],"(LR)":[15],"and":[17,42,58,66,75,107,124,136],"some":[18],"neighbouring":[19],"supporting":[20,29],"frames.":[21,48,85],"To":[22],"utilize":[23],"the":[24,50,81,101,115,143],"extra":[25],"temporal":[26,128,135],"information":[27,138],"of":[28,33,83,103],"LR":[30,47],"frames,":[31],"most":[32],"VSR":[34],"methods":[35],"highly":[36],"rely":[37],"on":[38],"accurate":[39],"motion":[40,64,105],"estimation":[41,65,106],"compensation":[43,67,108],"models":[44],"align":[46],"However,":[49],"motions":[51],"between":[52],"frames":[53],"have":[54],"no":[55],"ground":[56],"truth,":[57],"it":[59],"is":[60,113],"difficult":[61],"train":[63],"models.":[68,109],"Inaccurate":[69],"results":[70],"will":[71,79],"lead":[72],"artifacts":[74],"blurs,":[76],"which":[77,130],"also":[78,141],"damage":[80],"recovery":[82],"We":[86],"propose":[87],"an":[88],"effective":[89],"separate":[90],"3D":[91,111,116,148],"Convolution":[92],"Neural":[93],"Network":[94],"(CNN)":[95],"with":[96],"wide":[97],"activation":[98],"overcome":[100],"drawback":[102],"utilizing":[104],"Separate":[110],"convolution":[112,117,120,126],"factorizing":[114],"into":[118],"2D":[119],"along":[121,127],"spatial":[122,137],"domain":[123],"1D":[125],"domain,":[129],"can":[131],"not":[132],"only":[133],"capture":[134],"simultaneously":[139],"but":[140],"reduce":[142],"computation":[144],"complexity":[145],"compared":[146],"CNN.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}