{"id":"https://openalex.org/W2058157461","doi":"https://doi.org/10.1109/icip.2014.7025951","title":"Automatic inpainting of linearly related video frames","display_name":"Automatic inpainting of linearly related video frames","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2058157461","doi":"https://doi.org/10.1109/icip.2014.7025951","mag":"2058157461"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5111789821","display_name":"Yudong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Xiao","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University","Tsinghua National Laboratory for Information Science and Technology(TNList)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology(TNList)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051445938","display_name":"Jinli Suo","orcid":"https://orcid.org/0000-0002-3426-1634"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinli Suo","raw_affiliation_strings":["Department of Automation, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090932389","display_name":"Liheng Bian","orcid":"https://orcid.org/0000-0002-8016-0375"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liheng Bian","raw_affiliation_strings":["Department of Automation, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434028","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-2343-084X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Department of Automation, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59973589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"4692","last_page":"4696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9965999722480774,"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/inpainting","display_name":"Inpainting","score":0.9740581512451172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.729450523853302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.69291090965271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6227163672447205},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.540952742099762},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5002498626708984},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.47565528750419617},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4545922875404358},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4174027442932129},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40797775983810425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33285805583000183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2079751193523407}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9740581512451172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.729450523853302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.69291090965271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227163672447205},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.540952742099762},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5002498626708984},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.47565528750419617},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4545922875404358},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4174027442932129},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40797775983810425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33285805583000183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2079751193523407},{"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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":15,"referenced_works":["https://openalex.org/W1487937094","https://openalex.org/W1974042113","https://openalex.org/W2054994937","https://openalex.org/W2084227286","https://openalex.org/W2084689873","https://openalex.org/W2099713743","https://openalex.org/W2129873449","https://openalex.org/W2131565286","https://openalex.org/W2147523783","https://openalex.org/W2147823818","https://openalex.org/W2150386366","https://openalex.org/W2157773803","https://openalex.org/W2164490837","https://openalex.org/W2165736859","https://openalex.org/W2254014057"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W2587407424","https://openalex.org/W2907830442"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"automatic":[3],"inpainting":[4,51,70,87],"of":[5,11,32,68],"a":[6,16,22,53,57,77,101,116],"specific":[7],"but":[8],"common":[9],"kind":[10],"videos":[12,34],"captured":[13],"by":[14,39,147],"imaging":[15],"far":[17],"or":[18],"planar":[19],"scene":[20,137],"with":[21,56,93],"moving":[23],"camera.":[24],"The":[25,127],"projective":[26],"model":[27],"tells":[28],"that":[29],"the":[30,62,66,69,82,85,90,140],"frames":[31,75],"such":[33],"can":[35],"be":[36,144],"approximately":[37],"aligned":[38],"linear":[40,58],"mappings":[41],"except":[42],"for":[43],"some":[44],"to-be-inpainted":[45],"small":[46],"regions.":[47],"Mathematically,":[48],"we":[49,98,114],"treat":[50],"as":[52],"global":[54,107],"optimization":[55,121],"system":[59],"incorporating":[60],"both":[61,134],"temporal":[63],"consistency":[64],"and":[65,110,139],"priors":[67],"regions:":[71],"(i)":[72],"temporally":[73],"registered":[74],"form":[76],"low":[78,91],"rank":[79],"matrix;":[80],"(ii)":[81],"pixels":[83],"in":[84,133],"given":[86],"regions":[88],"destroy":[89],"rank-ness":[92],"gross":[94],"sparse":[95],"errors.":[96],"Besides,":[97],"also":[99],"use":[100],"soft":[102],"mask":[103],"to":[104,119,143],"ensure":[105],"consistent":[106],"brightness":[108],"before":[109],"after":[111],"inpainting.":[112],"Further,":[113],"propose":[115],"numerical":[117],"solution":[118],"above":[120],"based":[122],"on":[123],"Augmented":[124],"Lagrangian":[125],"Method.":[126],"experiment":[128],"results":[129],"demonstrated":[130],"our":[131],"advantageous":[132],"preserving":[135],"thin":[136],"structures":[138],"details":[141],"prone":[142],"smoothed":[145],"out":[146],"previous":[148],"methods.":[149]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}