{"id":"https://openalex.org/W7129064403","doi":"https://doi.org/10.1109/icip61757.2026.11630445","title":"Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding","display_name":"Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding","publication_year":2026,"publication_date":"2026-08-13","ids":{"openalex":"https://openalex.org/W7129064403","doi":"https://doi.org/10.1109/icip61757.2026.11630445"},"language":"en","primary_location":{"id":"doi:10.1109/icip61757.2026.11630445","doi":"https://doi.org/10.1109/icip61757.2026.11630445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip61757.2026.11630445","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2602.12866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063925613","display_name":"Andriy Enttsel","orcid":"https://orcid.org/0000-0003-1010-3858","observed_orcids":["https://orcid.org/0000-0003-1010-3858"]},"institutions":[{"id":"https://openalex.org/I4210089619","display_name":"Mitsubishi Electric (France)","ror":"https://ror.org/0075b7k59","country_code":"FR","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210089619","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["FR","JP"],"is_corresponding":false,"raw_author_name":"Andriy Enttsel","raw_affiliation_strings":["Mitsubishi Electric R&D Centre Europe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric R&D Centre Europe","institution_ids":["https://openalex.org/I4210089619","https://openalex.org/I4210133125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073070039","display_name":"Vincent Corlay","orcid":"https://orcid.org/0000-0002-9406-8377","observed_orcids":["https://orcid.org/0000-0002-9406-8377"]},"institutions":[{"id":"https://openalex.org/I4210089619","display_name":"Mitsubishi Electric (France)","ror":"https://ror.org/0075b7k59","country_code":"FR","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210089619","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["FR","JP"],"is_corresponding":false,"raw_author_name":"Vincent Corlay","raw_affiliation_strings":["Mitsubishi Electric R&D Centre Europe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric R&D Centre Europe","institution_ids":["https://openalex.org/I4210089619","https://openalex.org/I4210133125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.6139,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97331413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.6269999742507935,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.6269999742507935,"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":0.2484000027179718,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.07410000264644623,"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/rate-distortion-bound","display_name":"rate-distortion bound","score":0.9419999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207000255584717},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.6407999992370605},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5756000280380249},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.47999998927116394},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42980000376701355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3711000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3564000129699707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip61757.2026.11630445","doi":"https://doi.org/10.1109/icip61757.2026.11630445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip61757.2026.11630445","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2602.12866","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2602.12866","pdf_url":"https://arxiv.org/pdf/2602.12866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2602.12866","doi":"https://doi.org/10.48550/arxiv.2602.12866","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.12866","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2602.12866","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2602.12866","pdf_url":"https://arxiv.org/pdf/2602.12866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7129064403.pdf","grobid_xml":"https://content.openalex.org/works/W7129064403.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W108696806","https://openalex.org/W1638203394","https://openalex.org/W1686810756","https://openalex.org/W1990742913","https://openalex.org/W2112796928","https://openalex.org/W2114085948","https://openalex.org/W2117539524","https://openalex.org/W2123142728","https://openalex.org/W2135469284","https://openalex.org/W2148986322","https://openalex.org/W2194775991","https://openalex.org/W2478708596","https://openalex.org/W2953977340","https://openalex.org/W3044799120","https://openalex.org/W3082548248","https://openalex.org/W3088343230","https://openalex.org/W3140060010","https://openalex.org/W3195300140","https://openalex.org/W3197256000","https://openalex.org/W4224114181","https://openalex.org/W4376464601","https://openalex.org/W4386113250","https://openalex.org/W4391974577","https://openalex.org/W4401726555","https://openalex.org/W4405476141","https://openalex.org/W4405599209","https://openalex.org/W4408244453","https://openalex.org/W4409261937","https://openalex.org/W4414153896","https://openalex.org/W4416183493"],"related_works":["https://openalex.org/W3199716846","https://openalex.org/W7156911138","https://openalex.org/W4416183493","https://openalex.org/W4405908598","https://openalex.org/W4409311111","https://openalex.org/W7130685408","https://openalex.org/W7202357574","https://openalex.org/W2162183521","https://openalex.org/W2755096573","https://openalex.org/W4403791934"],"abstract_inverted_index":{"Task-Oriented":[0],"Source":[1],"Coding":[2],"(TOSC)":[3],"has":[4],"emerged":[5],"as":[6,130],"a":[7,131],"paradigm":[8],"for":[9,38,40,104],"efficient":[10],"visual":[11],"data":[12],"communication":[13],"in":[14,92],"machine-centric":[15],"inference":[16],"systems,":[17],"where":[18],"bitrate,":[19],"latency,":[20],"and":[21,52,88,108],"task":[22,50,58,98,105],"performance":[23],"must":[24],"be":[25],"jointly":[26],"optimized":[27],"under":[28,81],"resource":[29],"constraints.":[30,110],"While":[31],"recent":[32],"works":[33],"have":[34],"proposed":[35],"rate-distortion":[36,75,84,100],"bounds":[37,85,101],"coding":[39],"machines,":[41],"these":[42,125],"results":[43],"often":[44],"rely":[45],"on":[46,49,112],"strong":[47],"assumptions":[48],"identifiability":[51],"neglect":[53],"the":[54,65,71,79],"impact":[55],"of":[56,68,73],"deployed":[57],"models.":[59],"In":[60],"this":[61],"work,":[62],"we":[63],"revisit":[64],"fundamental":[66],"limits":[67],"single-TOSC":[69],"through":[70],"lens":[72],"indirect":[74],"theory.":[76],"We":[77,95],"highlight":[78],"conditions":[80],"which":[82],"existing":[83],"are":[86],"achievable":[87],"show":[89],"their":[90],"limitations":[91],"realistic":[93],"settings.":[94],"then":[96],"introduce":[97],"model-aware":[99],"that":[102,117],"account":[103],"model":[106],"suboptimality":[107],"architectural":[109],"Experiments":[111],"standard":[113],"classification":[114],"benchmarks":[115],"confirm":[116],"current":[118],"learned":[119],"TOSC":[120],"schemes":[121],"operate":[122],"far":[123],"from":[124],"limits,":[126],"highlighting":[127],"transmitter-side":[128],"complexity":[129],"key":[132],"bottleneck.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-02-17T00:00:00"}