{"id":"https://openalex.org/W2588985112","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852692","title":"A fast video inpainting algorithm based on state matching","display_name":"A fast video inpainting algorithm based on state matching","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588985112","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852692","mag":"2588985112"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5077003979","display_name":"Junze Huang","orcid":"https://orcid.org/0000-0001-5304-526X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junze Huang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056315702","display_name":"Xianghong Tang","orcid":"https://orcid.org/0000-0003-1226-8365"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghong Tang","raw_affiliation_strings":["School of Information Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077003979"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60994848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"118"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.8917050361633301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469965815544128},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7336236834526062},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7328753471374512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5713298916816711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5686420202255249},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.5063916444778442},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5032777190208435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49878573417663574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3726579248905182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17966768145561218}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8917050361633301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469965815544128},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7336236834526062},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7328753471374512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5713298916816711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5686420202255249},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.5063916444778442},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5032777190208435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49878573417663574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3726579248905182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17966768145561218},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2031832209","https://openalex.org/W2046128270","https://openalex.org/W2054994937","https://openalex.org/W2070781129","https://openalex.org/W2084227286","https://openalex.org/W2105038642","https://openalex.org/W2132504201","https://openalex.org/W2150674727","https://openalex.org/W2165736859","https://openalex.org/W2386128810","https://openalex.org/W2391953022","https://openalex.org/W7014965656"],"related_works":["https://openalex.org/W2112644028","https://openalex.org/W2362975861","https://openalex.org/W2103432623","https://openalex.org/W2290243676","https://openalex.org/W1592682627","https://openalex.org/W2385361142","https://openalex.org/W4295762832","https://openalex.org/W2366714142","https://openalex.org/W2277362400","https://openalex.org/W2023784850"],"abstract_inverted_index":{"In":[0],"the":[1,9,15,24,29,35,53,56,64,68,75,87,93,98,106,110,130],"past":[2],"video":[3,43,136],"restoration":[4,148],"algorithms":[5],"using":[6],"exemplar-based":[7],"method,":[8],"exhaustive":[10],"strategy":[11],"of":[12,92,112,117,122],"searching":[13,113],"for":[14,135],"best":[16,81,99],"matching":[17,31,83,100,118],"patch":[18,101],"is":[19,46,58,133],"always":[20],"used,":[21],"which":[22],"makes":[23],"computation":[25],"very":[26],"heavy.":[27],"Moreover":[28],"accumulated":[30],"error":[32],"easily":[33],"leads":[34],"wrong":[36],"information":[37,57],"spread.":[38],"So":[39],"a":[40,80],"novel":[41],"fast":[42],"inpainting":[44],"algorithm":[45,107,132],"proposed":[47,131],"in":[48,63,102],"this":[49,103],"paper.":[50],"When":[51,73],"restoring":[52,74],"damaged":[54,65,76,94],"background,":[55],"directly":[59],"replicated":[60],"to":[61],"fill":[62],"region":[66],"from":[67],"constructed":[69],"panoramic":[70],"background":[71,139],"image.":[72],"foreground,":[77,143],"it":[78],"seeks":[79],"state":[82,91],"frame":[84],"by":[85],"comparing":[86],"adjacent":[88],"running":[89,142],"foreground":[90],"frame,":[95],"and":[96,120,140,147],"searches":[97],"frame.":[104],"Meanwhile,":[105],"also":[108],"improves":[109],"way":[111,121],"exemplar":[114],"patch,":[115],"principle":[116],"cost":[119],"confidence":[123],"term":[124],"updating.":[125],"Experimental":[126],"results":[127],"show":[128],"that":[129],"suitable":[134],"with":[137],"stationary":[138],"periodical":[141],"having":[144],"better":[145],"efficiency":[146],"effects.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}