{"id":"https://openalex.org/W2803955352","doi":"https://doi.org/10.1145/3208159.3208167","title":"Temporal Coherent Video Super-resolution via Pre-frame-constrained Sparse Reconstruction","display_name":"Temporal Coherent Video Super-resolution via Pre-frame-constrained Sparse Reconstruction","publication_year":2018,"publication_date":"2018-05-23","ids":{"openalex":"https://openalex.org/W2803955352","doi":"https://doi.org/10.1145/3208159.3208167","mag":"2803955352"},"language":"en","primary_location":{"id":"doi:10.1145/3208159.3208167","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208159.3208167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Computer Graphics International 2018","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/A5059830795","display_name":"Qiuxia Lai","orcid":"https://orcid.org/0000-0001-6872-5540"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiuxia Lai","raw_affiliation_strings":["The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083221103","display_name":"Yongwei Nie","orcid":"https://orcid.org/0000-0002-8922-3205"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Nie","raw_affiliation_strings":["South China University of Technology, School of Computer Science and Engineering, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, School of Computer Science and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043901952","display_name":"Zhensong Zhang","orcid":"https://orcid.org/0009-0001-7911-7564"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhensong Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359489","display_name":"Hanqiu Sun","orcid":"https://orcid.org/0000-0002-3244-4111"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqiu Sun","raw_affiliation_strings":["The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059830795"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42228878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"223","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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":0.9955999851226807,"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/sparse-approximation","display_name":"Sparse approximation","score":0.8170236945152283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741950511932373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243136167526245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6533890962600708},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5862209796905518},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.569216251373291},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5420000553131104},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4847673773765564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47051873803138733},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4655742347240448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3950040340423584}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.8170236945152283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741950511932373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243136167526245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6533890962600708},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5862209796905518},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.569216251373291},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5420000553131104},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4847673773765564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47051873803138733},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4655742347240448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3950040340423584},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3208159.3208167","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208159.3208167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Computer Graphics International 2018","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":41,"referenced_works":["https://openalex.org/W1579828764","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W1973788353","https://openalex.org/W1981990039","https://openalex.org/W1990566152","https://openalex.org/W2005471829","https://openalex.org/W2005876975","https://openalex.org/W2006262236","https://openalex.org/W2010070459","https://openalex.org/W2010981316","https://openalex.org/W2057065563","https://openalex.org/W2061052400","https://openalex.org/W2088254198","https://openalex.org/W2096709758","https://openalex.org/W2097074225","https://openalex.org/W2102557230","https://openalex.org/W2106505277","https://openalex.org/W2109586214","https://openalex.org/W2111746730","https://openalex.org/W2114398647","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2136937413","https://openalex.org/W2137290314","https://openalex.org/W2139080351","https://openalex.org/W2160547390","https://openalex.org/W2161516371","https://openalex.org/W2162841655","https://openalex.org/W2163935418","https://openalex.org/W2165939075","https://openalex.org/W2172128189","https://openalex.org/W2295865687","https://openalex.org/W2320725294","https://openalex.org/W2331128040","https://openalex.org/W2359099468","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2964040059","https://openalex.org/W2996868574","https://openalex.org/W4247548711"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2138494306","https://openalex.org/W2539392819","https://openalex.org/W212310357"],"abstract_inverted_index":{"In":[0,26],"this":[1],"paper,":[2],"we":[3,115],"extend":[4],"the":[5,29,38,84,90,95,125,139],"sparse":[6,39,91,131],"representation":[7,92],"based":[8,70,121],"image":[9,112],"super-resolution":[10],"method":[11],"to":[12,36,49],"process":[13],"videos,":[14],"mainly":[15],"aiming":[16],"at":[17],"obtaining":[18],"temporally":[19],"consistent":[20,52],"consecutive":[21],"high-resolution":[22],"(HR)":[23],"video":[24],"frames.":[25,99],"our":[27,142],"formulation,":[28],"previous":[30],"estimated":[31],"HR":[32,98,111,127],"frame":[33],"is":[34,47,59,113],"used":[35],"guide":[37],"reconstruction":[40,107],"of":[41,141],"current":[42],"low-resolution":[43],"(LR)":[44],"frame,":[45],"which":[46,81],"able":[48],"obtain":[50],"more":[51],"representations.":[53],"We":[54,74],"show":[55],"that":[56,86,123],"such":[57],"guidance":[58],"robust":[60],"and":[61,105],"effective":[62],"by":[63],"incorporating":[64],"with":[65,118,129],"a":[66,77,110,119],"non-rigid":[67],"dense":[68],"correspondence":[69],"motion":[71],"compensation":[72],"schema.":[73],"also":[75],"propose":[76],"dictionary":[78],"updating":[79],"strategy":[80],"regularly":[82],"updates":[83],"dictionaries":[85],"are":[87],"critical":[88],"for":[89],"procedure":[93],"using":[94],"newly":[96],"reconstructed":[97],"To":[100],"further":[101],"preserve":[102],"sharp":[103],"edges":[104],"remove":[106],"errors,":[108],"once":[109],"recovered,":[114],"refine":[116],"it":[117],"L0-norm":[120],"optimization":[122],"constrains":[124],"final":[126],"output":[128],"relatively":[130],"gradients.":[132],"Experimental":[133],"results":[134],"on":[135],"natural":[136],"videos":[137],"demonstrated":[138],"effectiveness":[140],"proposed":[143],"method.":[144]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}