{"id":"https://openalex.org/W4405908598","doi":"https://doi.org/10.1109/itw61385.2024.10806970","title":"Lossy Compression with Data, Perception, and Classification Constraints","display_name":"Lossy Compression with Data, Perception, and Classification Constraints","publication_year":2024,"publication_date":"2024-11-24","ids":{"openalex":"https://openalex.org/W4405908598","doi":"https://doi.org/10.1109/itw61385.2024.10806970"},"language":"en","primary_location":{"id":"doi:10.1109/itw61385.2024.10806970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","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/A5100360653","display_name":"Yuhan Wang","orcid":"https://orcid.org/0000-0002-2942-5948"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhan Wang","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Information Engineering,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Information Engineering,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053320672","display_name":"Youlong Wu","orcid":"https://orcid.org/0000-0002-4383-9995"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youlong Wu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070464448","display_name":"Shuai Ma","orcid":"https://orcid.org/0000-0001-9168-3131"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Ma","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004874287","display_name":"Ying\u2013Jun Angela Zhang","orcid":"https://orcid.org/0000-0002-7304-6849"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Jun Angela Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Information Engineering,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Information Engineering,Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100360653"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.7873,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74977271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"366","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.8507999777793884,"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":0.8507999777793884,"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":0.7379000186920166,"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/lossy-compression","display_name":"Lossy compression","score":0.9082726240158081},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6756653189659119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6433069705963135},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5909744501113892},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5435651540756226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3888736367225647},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12017688155174255},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07750824093818665}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9082726240158081},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6756653189659119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433069705963135},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5909744501113892},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5435651540756226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3888736367225647},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12017688155174255},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07750824093818665},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw61385.2024.10806970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6030727613","display_name":null,"funder_award_id":"2024A1515030028","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W108696806","https://openalex.org/W2070945723","https://openalex.org/W2129644086","https://openalex.org/W2166089695","https://openalex.org/W2478708596","https://openalex.org/W2768814045","https://openalex.org/W2886523564","https://openalex.org/W2963980515","https://openalex.org/W3022414928","https://openalex.org/W3098656025","https://openalex.org/W3140053156","https://openalex.org/W3214462705","https://openalex.org/W4310526937","https://openalex.org/W4312777148","https://openalex.org/W4381785911","https://openalex.org/W4405908598","https://openalex.org/W6637108112","https://openalex.org/W6637568146","https://openalex.org/W6677621685","https://openalex.org/W6678815747","https://openalex.org/W6733862737","https://openalex.org/W6741832134","https://openalex.org/W6749925136","https://openalex.org/W6758867260","https://openalex.org/W6761438789","https://openalex.org/W6795001324","https://openalex.org/W6796173291","https://openalex.org/W6810387544"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W2385628723","https://openalex.org/W2888954728","https://openalex.org/W2552401318","https://openalex.org/W108076602","https://openalex.org/W3180760233","https://openalex.org/W4384342390","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1033938421"],"abstract_inverted_index":{"Balancing":[0],"diverse":[1,138],"task":[2,139],"objectives":[3,140],"under":[4],"limited":[5],"rate":[6,70],"is":[7],"crucial":[8],"for":[9,71],"developing":[10],"robust":[11],"multitask":[12],"deep":[13,142],"learning":[14],"(DL)":[15],"models":[16],"and":[17,34,41,53,59,74,80,112,124],"improving":[18],"performance":[19],"across":[20],"various":[21],"domains.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26,62,98],"consider":[27],"the":[28,50,64,68,88,119,131],"lossy":[29],"compression":[30,106],"problem":[31],"with":[32],"human-centric":[33],"task-oriented":[35],"metrics,":[36],"such":[37],"as":[38],"perceptual":[39],"quality":[40],"classification":[42,113],"accuracy.":[43],"We":[44],"investigate":[45],"two":[46],"ternary":[47],"relationships,":[48],"namely,":[49],"rate-distortion-classification":[51],"(RDC)":[52],"rate-perception-classification":[54],"(RPC).":[55],"For":[56],"both":[57,72,78],"RDC":[58,79,123],"RPC":[60,81,125],"functions,":[61],"derive":[63],"closed-form":[65],"expressions":[66],"of":[67,122,133],"optimal":[69],"binary":[73],"Gaussian":[75],"sources.":[76],"Notably,":[77],"relationships":[82],"exhibit":[83],"distinct":[84],"characteristics":[85,121],"compared":[86],"to":[87,136],"previous":[89],"RDP":[90],"tradeoff":[91],"proposed":[92],"by":[93,101],"Blau":[94],"et":[95],"al.":[96],"Then,":[97],"conduct":[99],"experiments":[100],"implementing":[102],"a":[103],"DL-based":[104],"image":[105],"framework,":[107],"incorporating":[108],"rate,":[109],"distortion,":[110],"perception,":[111],"constraints.":[114],"The":[115],"experimental":[116],"results":[117],"verify":[118],"theoretical":[120],"tradeoffs,":[126],"providing":[127],"information-theoretical":[128],"insights":[129],"into":[130],"design":[132],"loss":[134],"functions":[135],"balance":[137],"in":[141],"learning.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}