{"id":"https://openalex.org/W1991580213","doi":"https://doi.org/10.1145/2811411.2811497","title":"A spatial-temporal hole filling approach with background modeling and texture synthesis for 3D video","display_name":"A spatial-temporal hole filling approach with background modeling and texture synthesis for 3D video","publication_year":2015,"publication_date":"2015-10-09","ids":{"openalex":"https://openalex.org/W1991580213","doi":"https://doi.org/10.1145/2811411.2811497","mag":"1991580213"},"language":"en","primary_location":{"id":"doi:10.1145/2811411.2811497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","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/A5021068113","display_name":"Huu-Noi Doan","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Huu-Noi Doan","raw_affiliation_strings":["Soongsil University, Sangdo-Dong, Seoul, South Korea","SoongSil University, Sangdo-dong, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Sangdo-Dong, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"SoongSil University, Sangdo-dong, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046153326","display_name":"Beomsu-Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Beomsu-Kim","raw_affiliation_strings":["Soongsil University, Sangdo-Dong, Seoul, South Korea","SoongSil University, Sangdo-dong, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Sangdo-Dong, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"SoongSil University, Sangdo-dong, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101560467","display_name":"Min-Cheol Hong","orcid":"https://orcid.org/0000-0003-3979-8315"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Cheol Hong","raw_affiliation_strings":["Soongsil University, Sangdo-Dong, Seoul, South Korea","SoongSil University, Sangdo-dong, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Sangdo-Dong, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"SoongSil University, Sangdo-dong, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021068113"],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56864092,"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":"152","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.6931606531143188},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.6367290616035461},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6190793514251709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803815126419067},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5290915966033936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5276100635528564},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.47617143392562866},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.41971972584724426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3863699734210968},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3527609705924988},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30402672290802},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.2596556544303894},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.243463933467865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15367302298545837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931606531143188},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.6367290616035461},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6190793514251709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803815126419067},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5290915966033936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5276100635528564},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.47617143392562866},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.41971972584724426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3863699734210968},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3527609705924988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30402672290802},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2596556544303894},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.243463933467865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15367302298545837},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2811411.2811497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1965230764","https://openalex.org/W1990643921","https://openalex.org/W2016416397","https://openalex.org/W2018938123","https://openalex.org/W2026957634","https://openalex.org/W2066536199","https://openalex.org/W2097512404","https://openalex.org/W2116290527","https://openalex.org/W2117041769","https://openalex.org/W2125873654","https://openalex.org/W2133665775","https://openalex.org/W2154079153","https://openalex.org/W2295936755","https://openalex.org/W2913279420"],"related_works":["https://openalex.org/W2564343397","https://openalex.org/W2385244905","https://openalex.org/W2907830442","https://openalex.org/W2071787278","https://openalex.org/W2382329643","https://openalex.org/W2282723021","https://openalex.org/W1554980273","https://openalex.org/W2021008485","https://openalex.org/W2352164403","https://openalex.org/W2317681159"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27,102],"hole-filling":[4],"method":[5,91],"based":[6],"on":[7],"spatial-temporal":[8],"background":[9,22,29,37,43,54,79,84,106],"information":[10,23,66,80,108],"for":[11],"view":[12],"synthesis":[13],"in":[14,31,100,115],"3D":[15],"Video.":[16],"The":[17,71,121],"process":[18],"of":[19,41,98,133,138],"obtaining":[20],"stationary":[21],"is":[24,45,92,109],"updated":[25],"with":[26],"new":[28],"codebook":[30],"order":[32,114],"to":[33,47,63,94,111],"extract":[34],"reliable":[35],"temporal":[36,83],"modeling.":[38],"An":[39],"estimation":[40],"local":[42],"value":[44],"conducted":[46],"discriminate":[48],"an":[49,88],"adaptively":[50],"boundary":[51],"between":[52],"the":[53,57,65,68,77,82,96,113,117,126],"region":[55,59],"and":[56,81,136],"foreground":[58],"as":[60,62],"well":[61],"update":[64],"about":[67],"hole":[69,139],"region.":[70,140],"holes":[72,118],"are":[73,119],"filled":[74],"by":[75],"combining":[76],"spatial":[78],"information.":[85],"In":[86],"addition,":[87],"exemplar-based":[89],"inpainting":[90],"used":[93],"fill":[95],"rest":[97],"holes,":[99],"which":[101,116],"priority":[103],"function":[104],"using":[105],"depth":[107],"defined":[110],"determine":[112],"filled.":[120],"experimental":[122],"results":[123],"demonstrated":[124],"that":[125],"proposed":[127],"algorithm":[128],"synthesized":[129],"satisfactory":[130],"views":[131],"regardless":[132],"video":[134],"characteristics":[135],"type":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
