{"id":"https://openalex.org/W4206674515","doi":"https://doi.org/10.1109/vcip53242.2021.9675378","title":"A Study on 4D Light Field Compression Using Multi-focus Images and Reference Views","display_name":"A Study on 4D Light Field Compression Using Multi-focus Images and Reference Views","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206674515","doi":"https://doi.org/10.1109/vcip53242.2021.9675378"},"language":"en","primary_location":{"id":"doi:10.1109/vcip53242.2021.9675378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675378","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","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":"2021 International Conference on Visual Communications and Image Processing (VCIP)","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/A5077296761","display_name":"Shuho Umebayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]},{"id":"https://openalex.org/I4210158934","display_name":"Research Organization of Information and Systems","ror":"https://ror.org/04p4e8t29","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuho Umebayashi","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I4210158934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100993659","display_name":"Kazuya Kodama","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I4210158934","display_name":"Research Organization of Information and Systems","ror":"https://ror.org/04p4e8t29","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Kodama","raw_affiliation_strings":["National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I4210158934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030884145","display_name":"Takayuki Hamamoto","orcid":"https://orcid.org/0000-0001-8246-8325"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Hamamoto","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077296761"],"corresponding_institution_ids":["https://openalex.org/I161296585","https://openalex.org/I184597095","https://openalex.org/I4210158934"],"apc_list":null,"apc_paid":null,"fwci":0.1307,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51382488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.8365188241004944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8134726285934448},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7602349519729614},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.690825343132019},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6477178931236267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944864153862},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5362982153892517},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4740141034126282},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11958393454551697},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.09575784206390381}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.8365188241004944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134726285934448},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7602349519729614},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.690825343132019},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6477178931236267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944864153862},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5362982153892517},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4740141034126282},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11958393454551697},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.09575784206390381},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/vcip53242.2021.9675378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675378","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","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":"2021 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6902877552","display_name":null,"funder_award_id":"JP20H04216,JP21K19809","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1914596733","https://openalex.org/W2029808582","https://openalex.org/W2042687553","https://openalex.org/W2085800182","https://openalex.org/W2095295506","https://openalex.org/W2113752546","https://openalex.org/W2116361875","https://openalex.org/W2122178859","https://openalex.org/W2137313943","https://openalex.org/W2140704598","https://openalex.org/W2146395539","https://openalex.org/W2172436395","https://openalex.org/W2218866505","https://openalex.org/W2249309460","https://openalex.org/W2294163883","https://openalex.org/W2511779046","https://openalex.org/W2546038043","https://openalex.org/W2575189530","https://openalex.org/W2578052035","https://openalex.org/W2738406437","https://openalex.org/W2751965900","https://openalex.org/W2753630964","https://openalex.org/W2790316230","https://openalex.org/W2884403752","https://openalex.org/W2890043453","https://openalex.org/W2890735369","https://openalex.org/W2929485709","https://openalex.org/W2936217971","https://openalex.org/W2970651188","https://openalex.org/W2970932028","https://openalex.org/W2970980431","https://openalex.org/W2979570504","https://openalex.org/W3001340730","https://openalex.org/W3091178029","https://openalex.org/W4250408995","https://openalex.org/W6680152570"],"related_works":["https://openalex.org/W2163719598","https://openalex.org/W2107680156","https://openalex.org/W3161919736","https://openalex.org/W2387018512","https://openalex.org/W4301184752","https://openalex.org/W1509797384","https://openalex.org/W4387445182","https://openalex.org/W2039662546","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"We":[0,248,278],"propose":[1],"a":[2,81,193],"novel":[3,275],"method":[4,82,182,216,276],"of":[5,29,83,92,118,138,169,187,196,260,273,296],"light":[6,53,75,85,109,146,159,189,262,286,298],"field":[7,110,160,190,287,299],"compression":[8,43,111,161,191,234,288],"using":[9,163,253,289],"multi-focus":[10,93,113,150,173],"images":[11,94,114],"and":[12,142,230,255,268],"reference":[13,164],"views.":[14],"Light":[15],"fields":[16,54,76,86,147,263],"enable":[17],"us":[18],"to":[19,166,285],"observe":[20],"scenes":[21],"from":[22,74,88,149,172],"various":[23],"viewpoints.":[24],"However,":[25],"it":[26,59,281],"generally":[27],"consists":[28],"4D":[30,52,188],"enormous":[31],"data,":[32],"that":[33,236,280],"are":[34,55],"not":[35,78,238],"suitable":[36],"for":[37,206,244,270],"storing":[38],"or":[39],"transmitting":[40],"without":[41,95],"effective":[42,116],"at":[44,129,192,292],"relatively":[45],"low":[46,131,139,197,208,293],"bit-rates.":[47],"On":[48],"the":[49,104,170,200,214,245],"other":[50],"hand,":[51],"essentially":[56],"redundant":[57],"because":[58,133],"includes":[60],"just":[61],"3D":[62,67,89,119],"scene":[63,68,97],"information.":[64],"While":[65],"robust":[66],"estimation":[69,98],"such":[70,227],"as":[71,115,228],"depth":[72],"recovery":[73],"is":[77,99,177,264,282],"so":[79],"easy,":[80],"reconstructing":[84],"directly":[87,291],"information":[90],"composed":[91],"any":[96],"successfully":[100],"derived.":[101],"Based":[102],"on":[103,145,240],"method,":[105],"we":[106,155,211],"previously":[107,242],"proposed":[108,215],"via":[112],"representation":[117],"scenes.":[120],"Actually,":[121],"its":[122,219,297],"high":[123],"performance":[124,186,220],"can":[125,183,217],"be":[126],"seen":[127],"only":[128,205],"very":[130,207],"bit-rates,":[132],"there":[134],"exists":[135],"some":[136],"degradation":[137],"frequency":[140],"components":[141],"occluded":[143],"regions":[144],"predicted":[148],"images.":[151,174],"In":[152],"this":[153],"paper,":[154],"study":[156],"higher":[157],"quality":[158,168,259],"by":[162,222,252,266],"views":[165],"improve":[167,218],"prediction":[171],"Our":[175],"contribution":[176],"twofold:":[178],"first,":[179],"our":[180,233,274],"improved":[181],"keep":[184],"good":[185],"wider":[194],"range":[195],"bit-rates":[198,294],"than":[199],"previous":[201],"one":[202],"working":[203],"effectively":[204],"bit-rates;":[209],"second,":[210],"clarify":[212],"how":[213],"continuously":[221],"introducing":[223],"recent":[224],"video":[225],"codec":[226],"HEVC":[229,290],"VVC":[231],"into":[232],"framework,":[235],"does":[237],"depend":[239],"3D-SPIHT":[241],"adopted":[243],"corresponding":[246],"component.":[247],"show":[249],"experimental":[250],"results":[251],"synthetic":[254],"real":[256],"images,":[257],"where":[258],"reconstructed":[261],"evaluated":[265],"PSNR":[267],"SSIM":[269],"analyzing":[271],"characteristics":[272],"well.":[277],"notice":[279],"much":[283],"superior":[284],"regardless":[295],"scan":[300],"order.":[301]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
