{"id":"https://openalex.org/W4317555115","doi":"https://doi.org/10.1109/pcs56426.2022.10018035","title":"Rate-Distortion in Image Coding for Machines","display_name":"Rate-Distortion in Image Coding for Machines","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4317555115","doi":"https://doi.org/10.1109/pcs56426.2022.10018035"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10018035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs56426.2022.10018035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","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/A5009037707","display_name":"Alon Harell","orcid":"https://orcid.org/0000-0003-1287-9860"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alon Harell","raw_affiliation_strings":["Simon Fraser University,School of Engineering Science,Burnaby,Canada","School of Engineering Science, Simon Fraser University, Burnaby, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Engineering Science,Burnaby,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002583029","display_name":"Anderson de Andrade","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anderson De Andrade","raw_affiliation_strings":["Simon Fraser University,School of Engineering Science,Burnaby,Canada","School of Engineering Science, Simon Fraser University, Burnaby, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Engineering Science,Burnaby,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012187461","display_name":"Ivan V. Baji\u0107","orcid":"https://orcid.org/0000-0003-3154-5743"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ivan V. Bajic","raw_affiliation_strings":["Simon Fraser University,School of Engineering Science,Burnaby,Canada","School of Engineering Science, Simon Fraser University, Burnaby, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Engineering Science,Burnaby,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009037707"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":1.4092,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83020556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.8340773582458496},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.7258040904998779},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6201371550559998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.590807318687439},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5378692746162415},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.507473886013031},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4435434639453888},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4206995368003845},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4030766487121582},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.19905000925064087},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16157624125480652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8340773582458496},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.7258040904998779},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6201371550559998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.590807318687439},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5378692746162415},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.507473886013031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4435434639453888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4206995368003845},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4030766487121582},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.19905000925064087},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16157624125480652},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs56426.2022.10018035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs56426.2022.10018035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2099111195","https://openalex.org/W2101700394","https://openalex.org/W2769654144","https://openalex.org/W2783444794","https://openalex.org/W2962790536","https://openalex.org/W2963150697","https://openalex.org/W2963770864","https://openalex.org/W2970003075","https://openalex.org/W3034469748","https://openalex.org/W3102015846","https://openalex.org/W3186910762","https://openalex.org/W3195997474","https://openalex.org/W4236099117","https://openalex.org/W4293584584","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W3137057001","https://openalex.org/W2368287095","https://openalex.org/W2097615795","https://openalex.org/W2106833109","https://openalex.org/W1990808413","https://openalex.org/W3130313695","https://openalex.org/W2167373580","https://openalex.org/W2133588858","https://openalex.org/W2029870805","https://openalex.org/W2175767371"],"abstract_inverted_index":{"In":[0,23,113,169],"recent":[1],"years,":[2],"there":[3],"has":[4,47],"been":[5,48],"a":[6,93,105,127,184],"sharp":[7],"increase":[8],"in":[9,53,104,125,149,197],"transmission":[10],"of":[11,20,55,91,100,120,152,182,191],"images":[12,29],"to":[13,50,59,71,86,96],"remote":[14],"servers":[15],"specifically":[16],"for":[17,33,44,77,130,165,195],"the":[18,60,88,110,118,121,137,150,174,177,189],"purpose":[19],"computer":[21],"vision.":[22],"many":[24],"applications,":[25],"such":[26,92,183],"as":[27],"surveillance,":[28],"are":[30],"mostly":[31],"transmitted":[32],"automated":[34],"analysis,":[35],"and":[36,82,132,179,187],"rarely":[37],"seen":[38],"by":[39,80,160],"humans.":[40],"Using":[41],"traditional":[42],"compression":[43],"this":[45,114],"scenario":[46],"shown":[49],"be":[51],"inefficient":[52],"terms":[54],"bit-rate,":[56],"likely":[57],"due":[58],"focus":[61],"on":[62],"human":[63,178],"based":[64],"distortion":[65],"metrics.":[66],"Thus,":[67],"it":[68],"is":[69,95,147],"important":[70],"create":[72,87],"specific":[73],"image":[74],"coding":[75],"methods":[76],"joint":[78],"use":[79],"humans":[81,131],"machines.":[83,133],"One":[84],"way":[85],"machine":[89,111,180],"side":[90],"codec":[94,129],"perform":[97],"feature":[98],"matching":[99,142],"some":[101],"intermediate":[102],"layer":[103,122],"Deep":[106],"Neural":[107],"Network":[108],"performing":[109],"task.":[112],"work,":[115],"we":[116,155,172],"explore":[117],"effects":[119],"choice":[123],"used":[124],"training":[126,196],"learnable":[128],"We":[134],"prove,":[135],"using":[136,192],"data":[138],"processing":[139],"inequality,":[140],"that":[141,198],"features":[143],"from":[144],"deeper":[145,193],"layers":[146,194],"preferable":[148],"sense":[151],"rate-distortion.":[153],"Next,":[154],"confirm":[156],"our":[157,170],"findings":[158],"empirically":[159],"re-training":[161],"an":[162],"existing":[163],"model":[164],"scalable":[166,185],"human-machine":[167],"coding.":[168],"experiments":[171],"show":[173],"trade-off":[175],"between":[176],"sides":[181],"model,":[186],"discuss":[188],"benefit":[190],"regard.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}