{"id":"https://openalex.org/W2568326208","doi":"https://doi.org/10.1109/tit.2016.2586919","title":"Rate-Distortion Function for a Heegard-Berger Problem With Two Sources and Degraded Reconstruction Sets","display_name":"Rate-Distortion Function for a Heegard-Berger Problem With Two Sources and Degraded Reconstruction Sets","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2568326208","doi":"https://doi.org/10.1109/tit.2016.2586919","mag":"2568326208"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2016.2586919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2016.2586919","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-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/A5011355310","display_name":"Meryem Benammar","orcid":"https://orcid.org/0000-0002-4443-9256"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Meryem Benammar","raw_affiliation_strings":["Mathematics and Algorithmic Sciences Laboratory, Huawei Technologies France, Boulogne-Billancourt, France"],"affiliations":[{"raw_affiliation_string":"Mathematics and Algorithmic Sciences Laboratory, Huawei Technologies France, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014906072","display_name":"Abdellatif Zaidi","orcid":"https://orcid.org/0000-0003-2023-9476"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdellatif Zaidi","raw_affiliation_strings":["Mathematics and Algorithmic Sciences Laboratory, Huawei Technologies France, Boulogne-Billancourt, France","Universit\u00e9 Paris-Est, Champs-sur-Marne, France"],"affiliations":[{"raw_affiliation_string":"Mathematics and Algorithmic Sciences Laboratory, Huawei Technologies France, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Est, Champs-sur-Marne, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011355310"],"corresponding_institution_ids":["https://openalex.org/I4210123571"],"apc_list":null,"apc_paid":null,"fwci":0.7445,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76441223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"62","issue":"9","first_page":"5080","last_page":"5092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9761999845504761,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9761999845504761,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.01140000019222498,"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":0.002099999925121665,"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/function","display_name":"Function (biology)","score":0.49266916513442993},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4898971915245056},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.48497509956359863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4503001272678375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4392396807670593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40472686290740967},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3644936680793762},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30581435561180115},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19736391305923462},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.17136171460151672},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.15630322694778442}],"concepts":[{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49266916513442993},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4898971915245056},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.48497509956359863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4503001272678375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4392396807670593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40472686290740967},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3644936680793762},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30581435561180115},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19736391305923462},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.17136171460151672},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.15630322694778442},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2016.2586919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2016.2586919","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-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/W1980407669","https://openalex.org/W2012214748","https://openalex.org/W2036045240","https://openalex.org/W2071233520","https://openalex.org/W2076415428","https://openalex.org/W2099213070","https://openalex.org/W2106360282","https://openalex.org/W2135828675","https://openalex.org/W2136041786","https://openalex.org/W2147738283","https://openalex.org/W2150412388","https://openalex.org/W2154149950","https://openalex.org/W2166944784","https://openalex.org/W2174251073","https://openalex.org/W2570393925","https://openalex.org/W6635443250"],"related_works":["https://openalex.org/W1922851888","https://openalex.org/W1969547578","https://openalex.org/W3003858543","https://openalex.org/W4312306082","https://openalex.org/W2171488351","https://openalex.org/W2406961220","https://openalex.org/W2378029901","https://openalex.org/W3023793255","https://openalex.org/W2358848605","https://openalex.org/W2067621765"],"abstract_inverted_index":{"In":[0,83],"this":[1,81,93,179,189],"paper,":[2],"we":[3,85,129,193],"investigate":[4],"an":[5,171],"instance":[6],"of":[7,45,67,76,116,174,178,198],"the":[8,25,29,46,53,56,68,77,88,99,107,117,135,139,157,163,167,175,199],"Heegard-Berger":[9],"problem":[10],"with":[11],"two":[12,21,34,47,69],"sources":[13,35],"and":[14,55,165],"arbitrarily":[15],"correlated":[16],"side":[17],"information":[18],"sequences":[19],"at":[20,28,65,124],"decoders,":[22,54],"in":[23,40,97,137,152],"which":[24,98,138],"reconstruction":[26,186],"sets":[27],"decoders":[30,108],"are":[31,36],"degraded.":[32],"Specifically,":[33],"to":[37,102,111,121,134,144],"be":[38,103,122,145],"encoded":[39],"a":[41,73,153,183,195],"manner":[42],"that":[43,87,119,142,159],"one":[44,66,96,126],"is":[48,58,95,120,143,150],"reproduced":[49,59,123],"losslessly":[50],"by":[51,105,147],"both":[52,106,148,166],"other":[57],"within":[60],"some":[61],"prescribed":[62],"distortion":[63],"level":[64],"decoders.":[70],"We":[71],"establish":[72,194],"single-letter":[74,196],"characterization":[75,197],"rate-distortion":[78,201],"function":[79],"for":[80,92],"model.":[82],"particular,":[84],"show":[86],"optimal":[89],"coding":[90],"scheme":[91],"setting":[94,136],"common":[100,184],"description":[101],"recovered":[104,146],"should":[109],"allow":[110],"involve":[112],"all":[113,160],"or":[114],"part":[115],"source":[118,140,180],"only":[125],"decoder.":[127],"Furthermore,":[128],"also":[130],"generalize":[131],"our":[132],"result":[133],"component":[141],"users":[149],"reconstructed":[151],"lossy":[154],"fashion,":[155],"under":[156],"requirement":[158],"terminals":[161],"(i.e.,":[162],"encoder":[164],"decoders)":[168],"can":[169],"share":[170],"exact":[172],"copy":[173],"compressed":[176],"version":[177],"component,":[181],"i.e.,":[182],"encoder-decoder":[185],"constraint.":[187],"For":[188],"model":[190],"as":[191],"well,":[192],"associated":[200],"function.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}
