{"id":"https://openalex.org/W4400314741","doi":"https://doi.org/10.1109/jsait.2024.3422011","title":"JPEG Compliant Compression for DNN Vision","display_name":"JPEG Compliant Compression for DNN Vision","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400314741","doi":"https://doi.org/10.1109/jsait.2024.3422011"},"language":"en","primary_location":{"id":"doi:10.1109/jsait.2024.3422011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2024.3422011","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"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 Journal on Selected Areas in 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/A5021690162","display_name":"Ahmed H. Salamah","orcid":"https://orcid.org/0000-0001-7836-5278"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ahmed H. Salamah","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058019319","display_name":"Kaixiang Zheng","orcid":"https://orcid.org/0000-0001-8082-6977"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kaixiang Zheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089972660","display_name":"Linfeng Ye","orcid":"https://orcid.org/0009-0009-2355-1773"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Linfeng Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080794633","display_name":"En\u2010hui Yang","orcid":"https://orcid.org/0000-0003-1504-7584"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"En-Hui Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021690162"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":1.0526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77250193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"520","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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":0.541821300983429},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5408890247344971},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5194546580314636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5130652189254761},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.467195987701416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4540156424045563},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.391020268201828},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3402702212333679},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15896108746528625},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08988445997238159},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08347812294960022},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.040740132331848145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541821300983429},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5408890247344971},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5194546580314636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5130652189254761},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.467195987701416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4540156424045563},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.391020268201828},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3402702212333679},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15896108746528625},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08988445997238159},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08347812294960022},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.040740132331848145}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsait.2024.3422011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2024.3422011","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"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 Journal on Selected Areas in Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2499846161","display_name":null,"funder_award_id":"RGPIN203035-22","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2030185887","https://openalex.org/W2090408580","https://openalex.org/W2099001231","https://openalex.org/W2099111195","https://openalex.org/W2100540720","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2562896936","https://openalex.org/W2786977213","https://openalex.org/W2917583897","https://openalex.org/W2949212852","https://openalex.org/W2963163009","https://openalex.org/W2963918968","https://openalex.org/W2979332426","https://openalex.org/W3034429256","https://openalex.org/W3094502228","https://openalex.org/W3096831136","https://openalex.org/W3102451820","https://openalex.org/W3128674712","https://openalex.org/W3138516171","https://openalex.org/W3180854701","https://openalex.org/W4221146421","https://openalex.org/W4288092016","https://openalex.org/W4292794790","https://openalex.org/W4309773531","https://openalex.org/W4311415873","https://openalex.org/W4312443924","https://openalex.org/W4312847199","https://openalex.org/W4386597007","https://openalex.org/W4388115477","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6748692466","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W2542654834","https://openalex.org/W4243959093","https://openalex.org/W1994319845","https://openalex.org/W2971784143","https://openalex.org/W2159814397","https://openalex.org/W3095399624","https://openalex.org/W1968318766","https://openalex.org/W2096442341","https://openalex.org/W2078838509"],"abstract_inverted_index":{"Conventional":[0],"image":[1,42,134],"compression":[2,43,128,179],"techniques":[3,44],"are":[4,136],"primarily":[5],"developed":[6],"for":[7,22,46,63,79,98,107,112,142],"the":[8,14,58,74,87,113,122,125,139,161,178,190],"human":[9],"visual":[10],"system.":[11],"However,":[12],"with":[13,184],"extensive":[15],"use":[16],"of":[17,93,124,133],"deep":[18],"neural":[19],"networks":[20],"(DNNs)":[21],"computer":[23],"vision,":[24],"more":[25,27],"and":[26,116,130,153,171],"images":[28],"will":[29],"be":[30],"consumed":[31],"by":[32],"DNN-based":[33],"intelligent":[34],"machines,":[35],"which":[36],"makes":[37],"it":[38],"crucial":[39],"to":[40,95,182,189],"develop":[41,102],"customized":[45],"DNN":[47,64,80,145,166],"vision":[48],"while":[49],"being":[50],"JPEG":[51,59,94],"compliant.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,67,83,101],"revisit":[57],"rate":[60,180],"distortion":[61,71],"theory":[62],"vision.":[65,81],"First,":[66],"propose":[68],"a":[69,174],"novel":[70],"measure,":[72],"dubbed":[73],"sensitivity":[75],"weighted":[76],"error":[77],"(SWE),":[78],"Second,":[82],"incorporate":[84],"SWE":[85,97],"into":[86],"soft":[88],"decision":[89],"quantization":[90,110],"(SDQ)":[91],"process":[92],"trade":[96],"rate.":[99],"Finally,":[100],"an":[103],"algorithm,":[104,131],"called":[105],"OptS,":[106],"designing":[108],"optimal":[109],"tables":[111],"luminance":[114],"channel":[115],"chrominance":[117],"channels,":[118],"respectively.":[119],"To":[120],"test":[121],"performance":[123,159],"resulting":[126],"DNN-oriented":[127],"framework":[129,152,170],"experiments":[132],"classification":[135],"conducted":[137],"on":[138],"ImageNet":[140],"dataset":[141],"four":[143],"prevalent":[144],"models.":[146],"Results":[147],"demonstrate":[148],"that":[149],"our":[150,168],"proposed":[151,169],"algorithm":[154,172],"achieve":[155],"better":[156],"rate-accuracy":[157],"(R-A)":[158],"than":[160],"default":[162,191],"JPEG.":[163,192],"For":[164],"some":[165],"models,":[167],"provide":[173],"significant":[175],"reduction":[176],"in":[177],"up":[181],"67.84%":[183],"no":[185],"accuracy":[186],"loss":[187],"compared":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
