{"id":"https://openalex.org/W4308233884","doi":"https://doi.org/10.1109/icip46576.2022.9898073","title":"End-To-End Depth Map Compression Framework Via Rgb-To-Depth Structure Priors Learning","display_name":"End-To-End Depth Map Compression Framework Via Rgb-To-Depth Structure Priors Learning","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308233884","doi":"https://doi.org/10.1109/icip46576.2022.9898073"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9898073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898073","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5100678189","display_name":"Ming\u2010Hui Chen","orcid":"https://orcid.org/0000-0003-1935-2447"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghui Chen","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,China","College of Computer Science and Software Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451860","display_name":"Pingping Zhang","orcid":"https://orcid.org/0000-0003-4188-1572"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pingping Zhang","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,China","Department of Computer Science, City University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345087","display_name":"Zhuo Chen","orcid":"https://orcid.org/0009-0009-5387-4645"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["A*STAR,Institute for Infocomm Research,Singapore","Institute for Infocomm Research, A*STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR,Institute for Infocomm Research,Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108046740","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0001-9457-7801"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institutes of Advanced Technology,China","Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institutes of Advanced Technology,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007400451","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-7027-4213"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,China","College of Computer Science and Software Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,China","Department of Computer Science, City University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100678189"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.3595,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67629524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3206","last_page":"3210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7169102430343628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7144667506217957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6263980865478516},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5813081860542297},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5513937473297119},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5302776098251343},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5149691700935364},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4674317240715027},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4617723226547241},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.41780561208724976},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4171260893344879},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.413334459066391},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22265607118606567},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18359491229057312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169102430343628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7144667506217957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6263980865478516},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5813081860542297},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5513937473297119},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5302776098251343},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5149691700935364},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4674317240715027},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4617723226547241},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.41780561208724976},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4171260893344879},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.413334459066391},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22265607118606567},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18359491229057312},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9898073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898073","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1502916857","https://openalex.org/W1803059841","https://openalex.org/W1995467133","https://openalex.org/W2030265202","https://openalex.org/W2088842323","https://openalex.org/W2133665775","https://openalex.org/W2140196014","https://openalex.org/W2287730469","https://openalex.org/W2490784316","https://openalex.org/W2552465432","https://openalex.org/W2592574101","https://openalex.org/W2747329762","https://openalex.org/W2785562966","https://openalex.org/W2949361041","https://openalex.org/W2951234442","https://openalex.org/W2997572967","https://openalex.org/W3034247386","https://openalex.org/W3034469748","https://openalex.org/W3097448661","https://openalex.org/W3176570896","https://openalex.org/W3206996732","https://openalex.org/W3207537403","https://openalex.org/W4256229258","https://openalex.org/W4287605633","https://openalex.org/W4289082871","https://openalex.org/W6629113639","https://openalex.org/W6685261749","https://openalex.org/W6754634825","https://openalex.org/W6755487101","https://openalex.org/W6757246177","https://openalex.org/W6766595736"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2003805688"],"abstract_inverted_index":{"In":[0,51],"this":[1],"paper,":[2],"we":[3,53],"propose":[4,54],"a":[5,55],"novel":[6],"framework":[7,96],"to":[8,61,81],"exploit":[9],"and":[10,41,69,76],"utilize":[11],"the":[12,29,63,78,94,114],"shared":[13],"information":[14,65],"inner":[15],"RGB-D":[16,105],"data":[17],"for":[18,37,87],"efficient":[19,84],"depth":[20,43,70,88,109],"map":[21,110],"compression.":[22,89],"Two":[23],"main":[24],"codecs,":[25],"designed":[26],"based":[27],"on":[28],"existing":[30],"end-to-end":[31],"image":[32,39,44],"compression":[33,40,45,111,116],"network,":[34],"are":[35],"adopted":[36],"RGB":[38,68],"enhanced":[42],"with":[46,113],"RGB-to-Depth":[47],"structure":[48,64,85],"prior,":[49],"respectively.":[50],"particular,":[52],"Structure":[56],"Prior":[57],"Fusion":[58],"(SPF)":[59],"module":[60],"extract":[62],"from":[66],"both":[67],"codecs":[71],"at":[72,108],"multi-scale":[73],"feature":[74,80],"levels":[75],"fuse":[77],"cross-modal":[79],"generate":[82],"more":[83],"priors":[86],"Extensive":[90],"experiments":[91],"show":[92],"that":[93],"proposed":[95],"can":[97],"achieve":[98],"competitive":[99],"rate-distortion":[100],"performance":[101,107],"as":[102,104],"well":[103],"task-specific":[106],"compared":[112],"direct":[115],"scheme.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}