{"id":"https://openalex.org/W7131302040","doi":"https://doi.org/10.1109/vcip67698.2025.11396880","title":"Estimation of Optimal Layer-Level Bit Allocation in Multilayer Coding","display_name":"Estimation of Optimal Layer-Level Bit Allocation in Multilayer Coding","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131302040","doi":"https://doi.org/10.1109/vcip67698.2025.11396880"},"language":null,"primary_location":{"id":"doi:10.1109/vcip67698.2025.11396880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5057339967","display_name":"Yuichi Kondo","orcid":"https://orcid.org/0000-0002-9615-7146"},"institutions":[{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuichi Kondo","raw_affiliation_strings":["NHK Science &amp; Technology Research Laboratories (STRL),Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NHK Science &amp; Technology Research Laboratories (STRL),Tokyo,Japan","institution_ids":["https://openalex.org/I4210107548"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050920988","display_name":"Yuichi Kusakabe","orcid":"https://orcid.org/0000-0002-9017-8843"},"institutions":[{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Kusakabe","raw_affiliation_strings":["NHK Science &amp; Technology Research Laboratories (STRL),Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NHK Science &amp; Technology Research Laboratories (STRL),Tokyo,Japan","institution_ids":["https://openalex.org/I4210107548"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010068157","display_name":"Atsuro Ichigaya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuro Ichigaya","raw_affiliation_strings":["NHK Science &amp; Technology Research Laboratories (STRL),Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NHK Science &amp; Technology Research Laboratories (STRL),Tokyo,Japan","institution_ids":["https://openalex.org/I4210107548"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057339967"],"corresponding_institution_ids":["https://openalex.org/I4210107548"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66594907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.2890999913215637,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.2890999913215637,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.23430000245571136,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.15449999272823334,"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/coding","display_name":"Coding (social sciences)","score":0.6797999739646912},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.46810001134872437},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4675999879837036},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.46320000290870667},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4219000041484833},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41350001096725464},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.3962000012397766},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.37880000472068787}],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6797999739646912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.526199996471405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4957999885082245},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.46810001134872437},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4675999879837036},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3896999955177307},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.37880000472068787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.33809998631477356},{"id":"https://openalex.org/C159744936","wikidata":"https://www.wikidata.org/wiki/Q1126730","display_name":"Spearman's rank correlation coefficient","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C97501218","wikidata":"https://www.wikidata.org/wiki/Q219763","display_name":"MPEG-4","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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":8,"referenced_works":["https://openalex.org/W2407574721","https://openalex.org/W2511584835","https://openalex.org/W2761365629","https://openalex.org/W2908572392","https://openalex.org/W3016777865","https://openalex.org/W3202918664","https://openalex.org/W4298113278","https://openalex.org/W4405932701"],"related_works":[],"abstract_inverted_index":{"The":[0,67,190],"latest":[1],"video":[2,113,147,186],"coding":[3,11,176],"standard,":[4],"Versatile":[5],"Video":[6,140],"Coding":[7],"(VVC),":[8],"supports":[9],"multilayer":[10,37,175],"and":[12,27,60,76,92,150,178,200,218],"has":[13],"been":[14],"actively":[15],"studied":[16],"to":[17,119,130,155],"deliver":[18],"a":[19,39,125,146,153,204],"variety":[20],"of":[21,36,74,83,89,209,216,223],"videos,":[22,29],"such":[23],"as":[24,71,145,188],"multi-resolution":[25],"(2K":[26],"4K)":[28],"efficiently.":[30],"To":[31],"evaluate":[32],"the":[33,50,56,72,81,97,107,112,117,121,131,136,139,157,163,170,179,183,195],"compression":[34],"performance":[35],"coding,":[38],"rate-distortion":[40,171],"optimization":[41],"theory-based":[42],"framework":[43],"was":[44,165],"recently":[45],"proposed.":[46],"Using":[47],"this":[48,161],"framework,":[49],"optimal":[51],"bitrate":[52],"allocation":[53],"(OBA)":[54],"between":[55],"base":[57],"layer":[58,62],"(BL)":[59],"enhancement":[61],"(EL)":[63],"can":[64],"be":[65],"derived.":[66],"OBA":[68,108,122,137,164,184,196],"is":[69,128],"defined":[70],"combination":[73],"BL":[75],"EL":[77],"bitrates":[78],"that":[79,127],"maximizes":[80],"sum":[82],"Peak":[84],"Signal-to-Noise":[85],"Ratio":[86],"(PSNR)":[87],"values":[88],"low-resolution":[90],"(2K)":[91],"high-resoltion":[93],"(4K)":[94],"videos.":[95],"However,":[96],"PSNR":[98],"does":[99],"not":[100],"always":[101],"correlate":[102],"with":[103,197,203],"subjective":[104],"quality.":[105],"Moreover,":[106],"varies":[109],"depending":[110],"on":[111,169],"content":[114],"features,":[115],"indicating":[116],"need":[118],"estimate":[120,156,194],"individually":[123],"using":[124,138,185],"method":[126,154,181,192],"tailored":[129],"features.":[132],"Therefore,":[133],"we":[134],"investigated":[135],"Multimethod":[141],"Assessment":[142],"Fusion":[143],"(VMAF)":[144],"quality":[148],"metric":[149],"then":[151],"developed":[152],"video-adaptive":[158],"OBA.":[159],"In":[160],"study,":[162],"derived":[166],"analytically":[167],"based":[168],"curves":[172],"obtained":[173],"from":[174],"experiments,":[177],"proposed":[180,191],"estimated":[182],"features":[187],"parameters.":[189],"could":[193],"high":[198],"correlations":[199],"small":[201],"errors,":[202],"Pearson":[205],"linear":[206],"correlation":[207,214],"coefficient":[208,215],"0.94,":[210],"Spearman":[211],"rank":[212],"order":[213],"0.90,":[217],"root":[219],"mean":[220],"square":[221],"error":[222],"0.04.":[224]},"counts_by_year":[],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2026-02-25T00:00:00"}
