{"id":"https://openalex.org/W4385299208","doi":"https://doi.org/10.1145/3603781.3603867","title":"Video Reconstruction Method Based on Spatio-Temporal Correlation","display_name":"Video Reconstruction Method Based on Spatio-Temporal Correlation","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4385299208","doi":"https://doi.org/10.1145/3603781.3603867"},"language":"en","primary_location":{"id":"doi:10.1145/3603781.3603867","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3603781.3603867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","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/A5030967835","display_name":"Ping Han","orcid":"https://orcid.org/0000-0001-9633-6286"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Han","raw_affiliation_strings":["Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China"],"raw_orcid":"https://orcid.org/0000-0001-9633-6286","affiliations":[{"raw_affiliation_string":"Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103241995","display_name":"Xueting Bian","orcid":"https://orcid.org/0009-0004-9376-7223"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueting Bian","raw_affiliation_strings":["Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China"],"raw_orcid":"https://orcid.org/0009-0004-9376-7223","affiliations":[{"raw_affiliation_string":"Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037306364","display_name":"Cheng Fang","orcid":"https://orcid.org/0000-0002-2696-2721"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Fang","raw_affiliation_strings":["Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China"],"raw_orcid":"https://orcid.org/0000-0002-2696-2721","affiliations":[{"raw_affiliation_string":"Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627824","display_name":"Jingchun Gao","orcid":"https://orcid.org/0009-0001-4105-6559"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchun Gao","raw_affiliation_strings":["Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China"],"raw_orcid":"https://orcid.org/0009-0001-4105-6559","affiliations":[{"raw_affiliation_string":"Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050040890","display_name":"Mingrui Chen","orcid":"https://orcid.org/0009-0007-2702-2567"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Chen","raw_affiliation_strings":["Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China"],"raw_orcid":"https://orcid.org/0009-0007-2702-2567","affiliations":[{"raw_affiliation_string":"Civil Aviation University of China Electronic Information and Automation, Civil Aviation University of China, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28813325"],"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":"488","last_page":"493"},"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":0.9998000264167786,"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":0.9847999811172485,"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":0.7823427319526672},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7659318447113037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7601190805435181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7541252374649048},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.7256406545639038},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6818169951438904},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.562218964099884},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.49026229977607727},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4602111876010895},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.424038827419281},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4187923073768616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3348468542098999},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.32016417384147644},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.27375203371047974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24052521586418152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823427319526672},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7659318447113037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7601190805435181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7541252374649048},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.7256406545639038},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6818169951438904},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.562218964099884},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.49026229977607727},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4602111876010895},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.424038827419281},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4187923073768616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3348468542098999},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.32016417384147644},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.27375203371047974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24052521586418152},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603781.3603867","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3603781.3603867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","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/W2320725294","https://openalex.org/W2557227117","https://openalex.org/W2769654144","https://openalex.org/W2866634454","https://openalex.org/W2895361760","https://openalex.org/W2962927175","https://openalex.org/W2964040059","https://openalex.org/W3044723170","https://openalex.org/W3102015846","https://openalex.org/W4300424419","https://openalex.org/W4319301042"],"related_works":["https://openalex.org/W1541334882","https://openalex.org/W2381927031","https://openalex.org/W1997997397","https://openalex.org/W1967654336","https://openalex.org/W3181871159","https://openalex.org/W2010798765","https://openalex.org/W2130187254","https://openalex.org/W2169303026","https://openalex.org/W2016848112","https://openalex.org/W2048730704"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,6,24,40,67,133],"the":[3,64,107,130,140,146,159,174],"underlying":[4],"tasks":[5],"computer":[7],"vision,":[8],"image":[9],"and":[10,51,155],"video":[11,57,73,143],"reconstruction":[12,59,74],"have":[13],"an":[14],"extensive":[15],"research":[16],"value.":[17],"Video":[18],"is":[19,46,104,151],"interpreted":[20],"as":[21],"a":[22,29,87,94],"sequence":[23],"images":[25],"arranged":[26],"based":[27,92,167],"on":[28,93,168],"timeline.":[30],"The":[31,43,101,116],"spatio-temporal":[32,178],"correlation":[33,179],"leads":[34],"to":[35,49,63,113],"adjacent":[36,126],"sequences":[37],"contain":[38],"amounts":[39],"complementary":[41,123],"information.":[42],"optical":[44,68,99,169],"flow":[45,69],"typically":[47],"applied":[48],"estimate":[50],"align":[52],"inter-frame":[53],"motion":[54,89,95,108,118,138],"in":[55,81,106,136,177],"popular":[56],"super-resolution":[58,131,148,165],"methods.":[60],"However,":[61],"due":[62],"prerequisite":[65],"assumptions":[66],"algorithms,":[70],"many":[71],"existing":[72],"techniques":[75],"are":[76],"inadequate":[77],"for":[78,110,153],"fast":[79],"movement":[80],"complex":[82,137],"scenes.":[83],"Therefore,":[84],"we":[85],"propose":[86],"multi-frame":[88],"alignment":[90],"strategy":[91],"estimation":[96,109],"method":[97],"without":[98],"flow.":[100,170],"temporal":[102],"dimension":[103],"introduced":[105],"deep":[111],"convolution":[112],"extract":[114],"features.":[115],"bidirectional":[117],"compensation":[119],"can":[120],"obtain":[121],"more":[122],"information":[124],"from":[125],"sequences.":[127],"To":[128],"evaluate":[129],"improvement":[132],"our":[134],"model":[135,161,172],"scenes,":[139],"publicly":[141],"available":[142],"dataset":[144],"at":[145],"NTIRE19":[147],"challenge":[149],"REDS":[150],"used":[152],"training":[154],"testing.":[156],"We":[157],"compare":[158],"proposed":[160],"accuracy":[162],"with":[163],"four":[164],"methods":[166],"Our":[171],"reaches":[173],"best":[175],"precision":[176],"metrics.":[180]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}