{"id":"https://openalex.org/W2779086108","doi":"https://doi.org/10.1145/3141128.3141148","title":"A Hole-Filling Framework Based on DIBR and Improved Criminisi's Inpainting Algorithm for 3D Videos","display_name":"A Hole-Filling Framework Based on DIBR and Improved Criminisi's Inpainting Algorithm for 3D Videos","publication_year":2017,"publication_date":"2017-09-17","ids":{"openalex":"https://openalex.org/W2779086108","doi":"https://doi.org/10.1145/3141128.3141148","mag":"2779086108"},"language":"en","primary_location":{"id":"doi:10.1145/3141128.3141148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3141128.3141148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Cloud and Big Data Computing","raw_type":"proceedings-article"},"type":"preprint","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/A5101766622","display_name":"Ke Du","orcid":"https://orcid.org/0000-0002-1560-4902"},"institutions":[{"id":"https://openalex.org/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ke Du","raw_affiliation_strings":["FEMTO-ST Institute, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institute, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France","institution_ids":["https://openalex.org/I2802759292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075837738","display_name":"St\u00e9phane Domas","orcid":null},"institutions":[{"id":"https://openalex.org/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"St\u00e9phane Domas","raw_affiliation_strings":["FEMTO-ST Institute, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institute, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France","institution_ids":["https://openalex.org/I2802759292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042640083","display_name":"Mengdie Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137009","display_name":"Shaanxi Polytechnic Institute","ror":"https://ror.org/03c8jqn92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210137009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengdie Wu","raw_affiliation_strings":["Shaanxi Polytechnic Institute, Xianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Polytechnic Institute, Xianyang, China","institution_ids":["https://openalex.org/I4210137009"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051310986","display_name":"Michel Lenczner","orcid":"https://orcid.org/0000-0002-6761-9516"},"institutions":[{"id":"https://openalex.org/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michel Lenczner","raw_affiliation_strings":["FEMTO-ST Institute, Univ. Bourgogne Franche-Comt\u00e9, Besan\u00e7on, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institute, Univ. Bourgogne Franche-Comt\u00e9, Besan\u00e7on, France","institution_ids":["https://openalex.org/I2802759292","https://openalex.org/I4210118524"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19224491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9719221591949463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177711129188538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7020164132118225},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6891072392463684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6574505567550659},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.6552298069000244},{"id":"https://openalex.org/keywords/filling-in","display_name":"Filling-in","score":0.6473141312599182},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.5729225277900696},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4943873882293701},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4824424386024475},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47183969616889954},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4652380049228668},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.46040332317352295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3726639449596405},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3512150049209595}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9719221591949463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177711129188538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7020164132118225},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6891072392463684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6574505567550659},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.6552298069000244},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.6473141312599182},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.5729225277900696},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4943873882293701},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4824424386024475},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47183969616889954},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4652380049228668},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.46040332317352295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3726639449596405},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3512150049209595},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3141128.3141148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3141128.3141148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Cloud and Big Data Computing","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":16,"referenced_works":["https://openalex.org/W1572472986","https://openalex.org/W1990643921","https://openalex.org/W2016416397","https://openalex.org/W2020671828","https://openalex.org/W2051690890","https://openalex.org/W2070208087","https://openalex.org/W2079347897","https://openalex.org/W2105038642","https://openalex.org/W2129511102","https://openalex.org/W2140413429","https://openalex.org/W2154741421","https://openalex.org/W2600578627","https://openalex.org/W2997095758","https://openalex.org/W4254675413","https://openalex.org/W6836799239","https://openalex.org/W6990255718"],"related_works":["https://openalex.org/W2090702774","https://openalex.org/W2352164403","https://openalex.org/W2616924144","https://openalex.org/W2391715103","https://openalex.org/W2953349309","https://openalex.org/W2558701396","https://openalex.org/W2139363746","https://openalex.org/W1501447591","https://openalex.org/W2608650275","https://openalex.org/W2024734272"],"abstract_inverted_index":{"This":[0],"study":[1],"is":[2,64],"based":[3],"on":[4,14,47],"the":[5,15,26,29,37,48,52,69,86,92,99,105,112,116,122],"properties":[6],"of":[7,17,39,88,118],"Depth":[8],"Image":[9],"Based":[10],"Rendering":[11],"(DIBR),":[12],"especially":[13],"characteristics":[16],"holes":[18],"caused":[19],"by":[20],"disocclusion.":[21],"In":[22],"order":[23],"to":[24,35,83,96],"recover":[25],"texture":[27],"and":[28,34,121],"structure":[30],"in":[31,68,91],"missing":[32],"areas":[33],"improve":[36],"quality":[38,87,117],"rendered":[40],"image,":[41,55],"some":[42],"research":[43],"has":[44,108],"been":[45],"done":[46],"hole-filling":[49,70],"process":[50],"for":[51,72],"virtual":[53,93],"view":[54,94],"starting":[56],"from":[57],"Criminisi's":[58],"inpainting":[59],"algorithm.":[60],"The":[61],"depth":[62],"information":[63],"taken":[65],"into":[66],"consideration":[67],"framework":[71,107],"3D":[73],"videos":[74],"we":[75],"proposed.":[76],"Some":[77],"pre-processing":[78],"steps":[79],"are":[80,125],"also":[81],"added":[82],"either":[84],"enhance":[85],"synthesized":[89,119],"image":[90,120],"or":[95],"speed":[97,124],"up":[98],"processing.":[100],"Experimental":[101],"results":[102],"show":[103],"that":[104],"proposed":[106],"better":[109],"performances":[110],"than":[111],"existing":[113],"method.":[114],"Both":[115],"processing":[123],"improved.":[126]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}