{"id":"https://openalex.org/W4386597161","doi":"https://doi.org/10.1109/icip49359.2023.10222096","title":"Restoration of Extremely Compressed Background for VCM Using Guided Generative Priors","display_name":"Restoration of Extremely Compressed Background for VCM Using Guided Generative Priors","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597161","doi":"https://doi.org/10.1109/icip49359.2023.10222096"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222096","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5027263875","display_name":"Le Thi Hue Dao","orcid":"https://orcid.org/0000-0002-2169-9290"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Le Thi Hue Dao","raw_affiliation_strings":["Dongguk University,Department of Multimedia Engineering,Seoul,Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University,Department of Multimedia Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067402170","display_name":"An Gia Vien","orcid":null},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"An Gia Vien","raw_affiliation_strings":["Dongguk University,Department of Multimedia Engineering,Seoul,Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University,Department of Multimedia Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401547","display_name":"Jooyoung Lee","orcid":"https://orcid.org/0000-0003-0753-0699"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jooyoung Lee","raw_affiliation_strings":["Electronics and Telecommunications Research Institute,Daejeon,Korea","Electronics and Telecommunications Research Institute, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute,Daejeon,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718441","display_name":"Seyoon Jeong","orcid":"https://orcid.org/0000-0002-1675-4814"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seyoon Jeong","raw_affiliation_strings":["Electronics and Telecommunications Research Institute,Daejeon,Korea","Electronics and Telecommunications Research Institute, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute,Daejeon,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056081738","display_name":"Chul Lee","orcid":"https://orcid.org/0000-0001-9329-7365"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chul Lee","raw_affiliation_strings":["Dongguk University,Department of Multimedia Engineering,Seoul,Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University,Department of Multimedia Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027263875"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":null,"apc_paid":null,"fwci":0.3582,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59794581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1190","last_page":"1194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.7687427997589111},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7343746423721313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7098856568336487},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.669601559638977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.564135730266571},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5419590473175049},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5411524176597595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5291956663131714},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5057375431060791},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49992799758911133},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46104902029037476},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4260496497154236},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4230457544326782},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4188731014728546},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25193679332733154},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09826809167861938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09411567449569702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687427997589111},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7343746423721313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7098856568336487},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.669601559638977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.564135730266571},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5419590473175049},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5411524176597595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5291956663131714},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5057375431060791},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49992799758911133},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46104902029037476},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4260496497154236},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4230457544326782},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4188731014728546},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25193679332733154},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09826809167861938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09411567449569702},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222096","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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":[{"id":"https://openalex.org/G2354070436","display_name":null,"funder_award_id":"2020-0-00011","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2102166818","https://openalex.org/W2565639579","https://openalex.org/W2897840030","https://openalex.org/W2935381027","https://openalex.org/W2962785568","https://openalex.org/W3034352949","https://openalex.org/W3035574324","https://openalex.org/W3082548248","https://openalex.org/W3140060010","https://openalex.org/W3144276858","https://openalex.org/W3157141280","https://openalex.org/W3164402689","https://openalex.org/W3176913662","https://openalex.org/W3186910762","https://openalex.org/W3199003182","https://openalex.org/W3202918664","https://openalex.org/W3207918547","https://openalex.org/W4214609808","https://openalex.org/W4221004921","https://openalex.org/W4308235511","https://openalex.org/W4312628443","https://openalex.org/W4313318654","https://openalex.org/W4320900861","https://openalex.org/W6716109767","https://openalex.org/W6765779288","https://openalex.org/W6785302134","https://openalex.org/W6796346973"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W1978749115","https://openalex.org/W2555730586"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,8,13,41],"learning-based":[3],"image":[4,11,74],"restoration":[5],"algorithm":[6,92],"for":[7,21,24],"single":[9],"decoded":[10],"with":[12,44],"high-quality":[14],"foreground":[15],"and":[16,36,46,79],"an":[17,30],"extremely":[18],"degraded":[19,68],"background":[20,42,57,69,81],"video":[22],"coding":[23],"machines":[25],"(VCM).":[26],"First,":[27],"we":[28],"develop":[29],"encoder":[31,78],"that":[32,53,89],"extracts":[33],"multiscale":[34],"features":[35,52,75],"learns":[37],"latent":[38],"vectors.":[39],"Then,":[40],"generator":[43],"style":[45],"feature":[47],"fusion":[48],"blocks":[49],"generates":[50],"guided":[51],"contain":[54],"the":[55,60,64,67,73,77,84,90],"prior":[56,80],"information":[58,82],"in":[59],"input":[61],"image.":[62],"Finally,":[63],"decoder":[65],"restores":[66],"region":[70],"by":[71],"merging":[72],"from":[76,83],"generator.":[85],"Experimental":[86],"results":[87],"show":[88],"proposed":[91],"achieves":[93],"better":[94],"performance":[95],"than":[96],"state-of-the-art":[97],"algorithms.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}