{"id":"https://openalex.org/W2810715142","doi":"https://doi.org/10.1109/fskd.2017.8393214","title":"Three-dimensional video inpainting using gradient fusion and clustering","display_name":"Three-dimensional video inpainting using gradient fusion and clustering","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810715142","doi":"https://doi.org/10.1109/fskd.2017.8393214","mag":"2810715142"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5045529501","display_name":"Yili Lai","orcid":null},"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":"Yili Lai","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","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 Communication Engineering, Hangzhou Dianzi University Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050379438","display_name":"Xingxin Lou","orcid":null},"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":"Xingxin Lou","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045529501"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24426728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2749","last_page":"2754"},"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":0.9979000091552734,"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":0.9979000091552734,"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":0.9957000017166138,"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":0.9936000108718872,"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":0.9065021276473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8150862455368042},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6934778094291687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6894777417182922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6667523384094238},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5878691673278809},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5390260815620422},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5224199295043945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5207526683807373},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4884718954563141},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4543938934803009},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4499458372592926}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9065021276473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8150862455368042},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6934778094291687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6894777417182922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6667523384094238},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5878691673278809},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5390260815620422},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5224199295043945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5207526683807373},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4884718954563141},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4543938934803009},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4499458372592926}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2020564930","https://openalex.org/W2104599718","https://openalex.org/W2105038642","https://openalex.org/W2112205831","https://openalex.org/W2124260943","https://openalex.org/W2133665775","https://openalex.org/W2133803071","https://openalex.org/W2150444871","https://openalex.org/W2173066696","https://openalex.org/W2374713791"],"related_works":["https://openalex.org/W2030411253","https://openalex.org/W4360784979","https://openalex.org/W1522196789","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2007664797","https://openalex.org/W2120981610","https://openalex.org/W3129669851","https://openalex.org/W2360759360","https://openalex.org/W2065064759"],"abstract_inverted_index":{"For":[0],"the":[1,10,13,19,22,45,49,56,60,70,78,82,96,105,109,113,121,134],"foreground":[2,14,39,61,110],"and":[3,99,120],"background":[4],"segmentation":[5],"in":[6,69,88],"Three-Dimensional(3D)":[7],"video":[8],"inpainting,":[9],"inaccuracy":[11],"of":[12,21,44,48,58,84,108],"extraction":[15],"will":[16],"easily":[17],"affect":[18],"quality":[20],"repaired":[23,114],"image.":[24,51,72],"In":[25,52],"order":[26,53],"to":[27,54,66,94,129,133],"solve":[28],"this":[29,31],"problem,":[30],"paper":[32],"combines":[33],"watershed":[34,86],"algorithm":[35,80,87],"with":[36],"marker":[37],"for":[38],"extraction,":[40],"making":[41,112],"full":[42],"use":[43],"structural":[46],"information":[47,107],"depth":[50],"enhance":[55],"ability":[57],"distinguishing":[59],"object,":[62,111],"introducing":[63],"K-means":[64],"clustering":[65],"mark":[67],"it":[68,100],"gradient":[71],"The":[73],"experimental":[74],"results":[75],"show":[76],"that":[77],"improved":[79],"overcomes":[81],"defect":[83],"original":[85],"image":[89,115],"segmentation,":[90],"which":[91],"is":[92,125],"likely":[93],"occur":[95],"over-segmentation":[97],"phenomenon,":[98],"also":[101],"can":[102],"completely":[103],"extract":[104],"texture":[106],"have":[116],"better":[117],"visual":[118],"effect,":[119],"peak":[122],"signal-to-noise":[123],"ratio(PSNR)":[124],"increased":[126],"by":[127],"1":[128],"3":[130],"dB,":[131],"compared":[132],"other":[135],"algorithm.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}