{"id":"https://openalex.org/W2171237169","doi":"https://doi.org/10.1109/cvpr.2003.1211515","title":"Practical super-resolution from dynamic video sequences","display_name":"Practical super-resolution from dynamic video sequences","publication_year":2003,"publication_date":"2003-11-21","ids":{"openalex":"https://openalex.org/W2171237169","doi":"https://doi.org/10.1109/cvpr.2003.1211515","mag":"2171237169"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5005809088","display_name":"Zhongding Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhongding Jiang","raw_affiliation_strings":["State Key Laboratory of CAD&CG, University of Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, University of Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017857966","display_name":"Tien\u2010Tsin Wong","orcid":"https://orcid.org/0000-0002-7792-9307"},"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":"Tien-Tsin Wong","raw_affiliation_strings":["Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059021869","display_name":"Hujun Bao","orcid":"https://orcid.org/0000-0002-2662-0334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hujun Bao","raw_affiliation_strings":["State Key Laboratory of CAD&CG, University of Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, University of Zhejiang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005809088"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3345,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.83086433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"549"},"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":0.9983999729156494,"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":0.9966999888420105,"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":0.7240369915962219},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4570711553096771},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4408860206604004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4372822940349579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38396134972572327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7240369915962219},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4570711553096771},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4408860206604004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4372822940349579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38396134972572327}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2003.1211515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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":41,"referenced_works":["https://openalex.org/W70234347","https://openalex.org/W1531803620","https://openalex.org/W1560892771","https://openalex.org/W1607376735","https://openalex.org/W1963623641","https://openalex.org/W1982231459","https://openalex.org/W2016598597","https://openalex.org/W2065269684","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2099470017","https://openalex.org/W2100315781","https://openalex.org/W2106073068","https://openalex.org/W2107384509","https://openalex.org/W2115548755","https://openalex.org/W2138714160","https://openalex.org/W2140257560","https://openalex.org/W2144205107","https://openalex.org/W2146238954","https://openalex.org/W2147863920","https://openalex.org/W2153759093","https://openalex.org/W2156207079","https://openalex.org/W2156343066","https://openalex.org/W2157613008","https://openalex.org/W2164307510","https://openalex.org/W2164320023","https://openalex.org/W2164592660","https://openalex.org/W2293372129","https://openalex.org/W2911709767","https://openalex.org/W2987004640","https://openalex.org/W2999068457","https://openalex.org/W3043538212","https://openalex.org/W4232452729","https://openalex.org/W6602853498","https://openalex.org/W6632037549","https://openalex.org/W6633468657","https://openalex.org/W6636084225","https://openalex.org/W6675858567","https://openalex.org/W6682517803","https://openalex.org/W6684221638","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2755342338","https://openalex.org/W2229312674","https://openalex.org/W3116076068","https://openalex.org/W2058170566","https://openalex.org/W258625772","https://openalex.org/W2166044122"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,12],"practical":[4],"approach":[5],"for":[6],"superresolution,":[7],"the":[8,16,43,51,61,71,90,96,106,122,136],"process":[9],"of":[10,22,45,53,98,113,121,126,140],"reconstructing":[11],"high-resolution":[13],"image":[14,54,72],"from":[15,29],"low-resolution":[17],"input":[18],"ones.":[19],"The":[20],"emphasis":[21],"our":[23,141],"work":[24],"is":[25,79],"to":[26,66,81,104,118,134],"super-resolve":[27],"frames":[28],"dynamic":[30,129],"video":[31,130],"sequences,":[32],"which":[33,87],"may":[34,88],"contain":[35],"significant":[36],"object":[37],"occlusion":[38],"or":[39],"scene":[40],"changes.":[41],"As":[42],"quality":[44],"super-resolved":[46],"images":[47],"highly":[48],"relies":[49],"on":[50],"correctness":[52],"alignment":[55],"between":[56,70],"consecutive":[57],"frames,":[58],"we":[59],"employ":[60],"robust":[62],"optical":[63],"flow":[64],"method":[65],"accurately":[67],"estimate":[68],"motion":[69],"pair.":[73],"An":[74],"efficient":[75],"and":[76,83,128,138],"reliable":[77],"scheme":[78],"designed":[80],"detect":[82],"discard":[84],"incorrect":[85],"matchings,":[86],"degrade":[89],"output":[91],"quality.":[92],"We":[93],"also":[94],"introduce":[95],"usage":[97],"elliptical":[99],"weighted":[100],"average":[101],"(EWA)":[102],"filter":[103],"model":[105],"spatially":[107],"variant":[108],"point":[109],"spread":[110],"function":[111],"(PSF)":[112],"acquisition":[114],"system":[115],"in":[116],"order":[117],"improve":[119],"accuracy":[120],"model.":[123],"A":[124],"number":[125],"complex":[127],"sequences":[131],"are":[132],"tested":[133],"demonstrate":[135],"applicability":[137],"reliability":[139],"algorithm.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
