{"id":"https://openalex.org/W4386071976","doi":"https://doi.org/10.1109/isit54713.2023.10206643","title":"The Rate-Distortion-Perception Trade-off with Side Information","display_name":"The Rate-Distortion-Perception Trade-off with Side Information","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386071976","doi":"https://doi.org/10.1109/isit54713.2023.10206643"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5112921391","display_name":"Yassine Hamdi","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yassine Hamdi","raw_affiliation_strings":["Imperial College,Department of Electrical and Electronic Engineering,London,UK","Department of Electrical and Electronic Engineering, Imperial College, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College,Department of Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz G\u00fcnd\u00fcz","raw_affiliation_strings":["Imperial College,Department of Electrical and Electronic Engineering,London,UK","Department of Electrical and Electronic Engineering, Imperial College, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College,Department of Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112921391"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.071,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76902838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1056","last_page":"1061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/randomness","display_name":"Randomness","score":0.6296616196632385},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6294460892677307},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6087101101875305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.526495635509491},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5052295327186584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.497663289308548},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4542957842350006},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.43749889731407166},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.42157161235809326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4213355779647827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40762561559677124},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.37453463673591614},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3405344486236572},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18970966339111328},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.12344682216644287},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08094927668571472}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6296616196632385},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6294460892677307},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6087101101875305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.526495635509491},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5052295327186584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.497663289308548},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4542957842350006},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.43749889731407166},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.42157161235809326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4213355779647827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40762561559677124},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.37453463673591614},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3405344486236572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18970966339111328},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.12344682216644287},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08094927668571472},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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":43,"referenced_works":["https://openalex.org/W1998812578","https://openalex.org/W2060754092","https://openalex.org/W2129080729","https://openalex.org/W2139352051","https://openalex.org/W2150412388","https://openalex.org/W2174883028","https://openalex.org/W2478708596","https://openalex.org/W2552465432","https://openalex.org/W2775336875","https://openalex.org/W2888608171","https://openalex.org/W2891810238","https://openalex.org/W2903787929","https://openalex.org/W2962676454","https://openalex.org/W2962844360","https://openalex.org/W2962891349","https://openalex.org/W2963182577","https://openalex.org/W2963189365","https://openalex.org/W2981613960","https://openalex.org/W2984671549","https://openalex.org/W2987947587","https://openalex.org/W2992051623","https://openalex.org/W3091266734","https://openalex.org/W3098284407","https://openalex.org/W3103755690","https://openalex.org/W3129876094","https://openalex.org/W3163874392","https://openalex.org/W3167995751","https://openalex.org/W3173272744","https://openalex.org/W3186609711","https://openalex.org/W3215615641","https://openalex.org/W4226210362","https://openalex.org/W4288624536","https://openalex.org/W4297738463","https://openalex.org/W4312777148","https://openalex.org/W6679416542","https://openalex.org/W6745749459","https://openalex.org/W6746756656","https://openalex.org/W6750728835","https://openalex.org/W6751862702","https://openalex.org/W6758867260","https://openalex.org/W6790474340","https://openalex.org/W6795001324","https://openalex.org/W6810387544"],"related_works":["https://openalex.org/W1496081953","https://openalex.org/W3045164906","https://openalex.org/W2791995438","https://openalex.org/W1990617542","https://openalex.org/W2001953482","https://openalex.org/W2060299686","https://openalex.org/W2148446166","https://openalex.org/W3177731064","https://openalex.org/W2160057790","https://openalex.org/W2562783569"],"abstract_inverted_index":{"In":[0],"image":[1],"compression,":[2],"with":[3,132,162],"recent":[4],"advances":[5],"in":[6,77,190],"generative":[7],"modeling,":[8],"the":[9,15,18,27,32,35,39,44,52,55,70,78,92,101,106,119,124,127,149,152,165,178,191],"existence":[10],"of":[11,34,72,80,94,193],"a":[12,48,64,73,95,186],"trade-off":[13,53,131],"between":[14,54,148],"rate":[16,56],"and":[17,57,88,126,151,172],"perceptual":[19],"quality":[20],"has":[21],"been":[22],"brought":[23],"to":[24,38,43,104,158],"light,":[25],"where":[26],"perception":[28,49],"is":[29,115,135,146],"measured":[30],"by":[31,63,86],"closeness":[33],"output":[36,102],"distribution":[37,103],"source.":[40],"This":[41],"leads":[42],"question:":[45],"how":[46],"does":[47],"constraint":[50],"impact":[51,93],"traditional":[58,159],"distortion":[59,66,181],"constraints,":[60],"typically":[61],"quantified":[62],"single-letter":[65],"measure?":[67],"We":[68,109,154,183],"consider":[69,110],"compression":[71],"memoryless":[74,81],"source":[75,107,160],"X":[76,171],"presence":[79],"side":[82,163],"information":[83],"Z,":[84],"studied":[85],"Wyner":[87],"Ziv,":[89],"but":[90],"elucidate":[91],"perfect":[96,133],"realism":[97,134],"constraint,":[98],"which":[99],"requires":[100],"match":[105],"distribution.":[108],"two":[111,166],"cases:":[112],"when":[113,142,170],"Z":[114,173],"available":[116,147],"only":[117],"at":[118,122],"decoder":[120],"or":[121],"both":[123],"encoder":[125,150],"decoder.":[128,153],"The":[129],"rate-distortion":[130],"characterized":[136],"for":[137],"sources":[138],"on":[139],"general":[140,187],"alphabets":[141],"infinite":[143],"common":[144,195],"randomness":[145],"show":[155],"that,":[156],"similarly":[157],"coding":[161],"information,":[164],"cases":[167],"are":[168,174],"equivalent":[169],"jointly":[175],"Gaussian":[176],"under":[177],"squared":[179],"error":[180],"measure.":[182],"also":[184],"provide":[185],"inner":[188],"bound":[189],"case":[192],"limited":[194],"randomness.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}