{"id":"https://openalex.org/W4394627371","doi":"https://doi.org/10.1109/jetcas.2024.3386639","title":"Human\u2013Machine Collaborative Image Compression Method Based on Implicit Neural Representations","display_name":"Human\u2013Machine Collaborative Image Compression Method Based on Implicit Neural Representations","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394627371","doi":"https://doi.org/10.1109/jetcas.2024.3386639"},"language":"en","primary_location":{"id":"doi:10.1109/jetcas.2024.3386639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jetcas.2024.3386639","pdf_url":null,"source":{"id":"https://openalex.org/S142323794","display_name":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","issn_l":"2156-3357","issn":["2156-3357","2156-3365"],"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 Emerging and Selected Topics in Circuits and Systems","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/A5049968194","display_name":"Huanyang Li","orcid":"https://orcid.org/0009-0005-0203-8197"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanyang Li","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-0203-8197","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055937409","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0002-7517-3868"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7517-3868","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71247336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"14","issue":"2","first_page":"198","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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":0.9984999895095825,"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":0.998199999332428,"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":0.7587729096412659},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.7333588004112244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6807623505592346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5594078302383423},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5289868116378784},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4625844657421112},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.43420708179473877},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43157973885536194},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35070693492889404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23607000708580017},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08719149231910706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587729096412659},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.7333588004112244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6807623505592346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5594078302383423},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5289868116378784},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4625844657421112},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.43420708179473877},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43157973885536194},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35070693492889404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23607000708580017},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08719149231910706},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jetcas.2024.3386639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jetcas.2024.3386639","pdf_url":null,"source":{"id":"https://openalex.org/S142323794","display_name":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","issn_l":"2156-3357","issn":["2156-3357","2156-3365"],"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 Emerging and Selected Topics in Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1316932678","display_name":"\u70b9\u4e91\u7684\u9ad8\u6548\u8868\u793a\u548c\u538b\u7f29\u6280\u672f\u7814\u7a76","funder_award_id":"62071449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8505359809","display_name":null,"funder_award_id":"U20A20184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8573909329","display_name":null,"funder_award_id":"E2ET1104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1535508119","https://openalex.org/W1998497852","https://openalex.org/W2005750530","https://openalex.org/W2031614119","https://openalex.org/W2033178790","https://openalex.org/W2116044718","https://openalex.org/W2140196014","https://openalex.org/W2152281536","https://openalex.org/W2171457896","https://openalex.org/W2293642747","https://openalex.org/W2518435514","https://openalex.org/W2523901075","https://openalex.org/W2531817238","https://openalex.org/W2596142952","https://openalex.org/W2604392022","https://openalex.org/W2738029666","https://openalex.org/W2766585573","https://openalex.org/W2785562966","https://openalex.org/W2789876780","https://openalex.org/W2798542761","https://openalex.org/W2803770679","https://openalex.org/W2942454403","https://openalex.org/W2948153973","https://openalex.org/W2964098744","https://openalex.org/W2973732467","https://openalex.org/W2982853315","https://openalex.org/W3002974274","https://openalex.org/W3008317530","https://openalex.org/W3011781975","https://openalex.org/W3094253649","https://openalex.org/W3102451820","https://openalex.org/W3134070916","https://openalex.org/W3138516171","https://openalex.org/W3140060010","https://openalex.org/W3147173580","https://openalex.org/W3160673571","https://openalex.org/W3164402689","https://openalex.org/W3195302434","https://openalex.org/W3207762511","https://openalex.org/W4282934744","https://openalex.org/W4287284742","https://openalex.org/W4292794059","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W4310526937","https://openalex.org/W4312354940","https://openalex.org/W4312365925","https://openalex.org/W4312633615","https://openalex.org/W4317624842","https://openalex.org/W4376464601","https://openalex.org/W4378945638","https://openalex.org/W4385245566","https://openalex.org/W4386071691","https://openalex.org/W4386243171","https://openalex.org/W4388837946","https://openalex.org/W4390871708","https://openalex.org/W4390871851","https://openalex.org/W4390873037","https://openalex.org/W6694251005","https://openalex.org/W6734035190","https://openalex.org/W6738494155","https://openalex.org/W6750697433","https://openalex.org/W6779753539","https://openalex.org/W6780365925","https://openalex.org/W6791346067","https://openalex.org/W6796346973","https://openalex.org/W6802556668","https://openalex.org/W6839105176","https://openalex.org/W6853140266"],"related_works":["https://openalex.org/W2386366915","https://openalex.org/W4383723869","https://openalex.org/W2022517628","https://openalex.org/W2161302774","https://openalex.org/W4220868150","https://openalex.org/W2388481516","https://openalex.org/W2521595930","https://openalex.org/W4384298135","https://openalex.org/W4243608781","https://openalex.org/W3165542721"],"abstract_inverted_index":{"With":[0],"the":[1,5,108,116,133,157,167,170],"explosive":[2],"increase":[3],"in":[4,24,150,193],"volume":[6],"of":[7,44,136,169],"images":[8,137],"intended":[9],"for":[10,16,63,111,124,138],"analysis":[11],"by":[12],"AI,":[13],"image":[14,30,45,75,96,122,152,163,190,198],"coding":[15,36,97],"machine":[17,79,112,139],"have":[18],"been":[19],"proposed":[20],"to":[21,40,54,73,148,161,176],"transmit":[22],"information":[23,52,110],"a":[25,70,83,93,143],"machine-interpretable":[26],"format,":[27],"thereby":[28],"enhancing":[29],"compression":[31,57,85,123,129,171,191,199],"efficiency.":[32,200],"However,":[33],"such":[34],"efficient":[35],"schemes":[37],"often":[38],"lead":[39],"issues":[41],"like":[42],"loss":[43],"details":[46],"and":[47,49,78],"features,":[48,164],"unclear":[50],"semantic":[51,144],"due":[53],"high":[55],"data":[56],"ratio,":[58],"making":[59],"them":[60],"less":[61],"suitable":[62],"human":[64],"vision":[65,80,113,126],"domains.":[66],"Thus,":[67],"it":[68],"is":[69],"critical":[71],"problem":[72],"balance":[74],"visual":[76,178],"quality":[77],"accuracy":[81],"at":[82,115],"given":[84],"ratio.":[86],"To":[87,131],"address":[88],"these":[89],"issues,":[90],"we":[91,141,155],"introduce":[92],"human-machine":[94],"collaborative":[95],"framework":[98],"based":[99],"on":[100],"Implicit":[101],"Neural":[102],"Representations":[103],"(INR),":[104],"which":[105],"effectively":[106,174],"reduces":[107],"transmitted":[109],"tasks":[114,195],"decoding":[117],"side":[118],"while":[119,196],"maintaining":[120],"high-efficiency":[121],"huaman":[125],"against":[127],"INR":[128],"framework.":[130],"enhance":[132],"model\u2019s":[134],"perception":[135],"vision,":[140],"design":[142],"embedding":[145,168],"enhancement":[146],"module":[147],"assist":[149],"understanding":[151],"semantics.":[153],"Specifically,":[154],"employ":[156],"Swin":[158],"Transformer":[159],"model":[160,172],"initialize":[162],"ensuring":[165,197],"that":[166,184],"are":[173],"applicable":[175],"downstream":[177],"tasks.":[179],"Extensive":[180],"experimental":[181],"results":[182],"demonstrate":[183],"our":[185],"method":[186],"significantly":[187],"outperforms":[188],"other":[189],"methods":[192],"classification":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"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"}
