{"id":"https://openalex.org/W4297095237","doi":"https://doi.org/10.1109/tcsvt.2022.3209661","title":"End-to-End Optimized Image Compression With Deep Gaussian Process Regression","display_name":"End-to-End Optimized Image Compression With Deep Gaussian Process Regression","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4297095237","doi":"https://doi.org/10.1109/tcsvt.2022.3209661"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3209661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3209661","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","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/A5086886949","display_name":"Maida Cao","orcid":"https://orcid.org/0000-0002-9275-2095"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maida Cao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9275-2095","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342512","display_name":"Wenrui Dai","orcid":"https://orcid.org/0000-0003-2522-5778"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Dai","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2522-5778","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760682","display_name":"Shaohui Li","orcid":"https://orcid.org/0000-0002-9650-8874"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Li","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9650-8874","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675587","display_name":"Chenglin Li","orcid":"https://orcid.org/0000-0003-2888-594X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Li","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2888-594X","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006337","display_name":"Junni Zou","orcid":"https://orcid.org/0000-0002-9694-9880"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junni Zou","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9694-9880","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383041","display_name":"Ying Chen","orcid":"https://orcid.org/0000-0002-1620-9904"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Xiong","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4552-0029","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8809,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7427643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"35","issue":"4","first_page":"3770","last_page":"3785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9926999807357788,"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":0.9890000224113464,"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":0.5905137658119202},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4806053340435028},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.468315452337265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4582468867301941},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4576915204524994},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.45037731528282166},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4465397298336029},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41970300674438477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3234078884124756},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.28270724415779114},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25070780515670776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1294260323047638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905137658119202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4806053340435028},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.468315452337265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4582468867301941},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4576915204524994},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.45037731528282166},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4465397298336029},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41970300674438477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3234078884124756},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.28270724415779114},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25070780515670776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1294260323047638},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3209661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3209661","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3425091141","display_name":null,"funder_award_id":"61871267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3438946646","display_name":null,"funder_award_id":"61932022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3628871441","display_name":null,"funder_award_id":"61720106001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4936292138","display_name":null,"funder_award_id":"T2122024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G510744082","display_name":null,"funder_award_id":"61831018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5326461368","display_name":null,"funder_award_id":"61971285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6094063813","display_name":null,"funder_award_id":"62125109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6393920532","display_name":null,"funder_award_id":"61972256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7123918047","display_name":null,"funder_award_id":"62120106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8700549466","display_name":null,"funder_award_id":"61931023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1571870753","https://openalex.org/W1580389772","https://openalex.org/W2060108852","https://openalex.org/W2097511420","https://openalex.org/W2119047110","https://openalex.org/W2129768577","https://openalex.org/W2137983211","https://openalex.org/W2140196014","https://openalex.org/W2146395539","https://openalex.org/W2166816543","https://openalex.org/W2169161136","https://openalex.org/W2286454943","https://openalex.org/W2423557781","https://openalex.org/W2490784316","https://openalex.org/W2552465432","https://openalex.org/W2597747080","https://openalex.org/W2604392022","https://openalex.org/W2785562966","https://openalex.org/W2962891349","https://openalex.org/W2963149687","https://openalex.org/W3017235483","https://openalex.org/W3034469748","https://openalex.org/W3035294152","https://openalex.org/W3091266734","https://openalex.org/W3175457126","https://openalex.org/W3206996732","https://openalex.org/W6631190155","https://openalex.org/W6637338928","https://openalex.org/W6637968757","https://openalex.org/W6639216784","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6674989108","https://openalex.org/W6684770997","https://openalex.org/W6685511808","https://openalex.org/W6692054155","https://openalex.org/W6694251005","https://openalex.org/W6734035190","https://openalex.org/W6738492492","https://openalex.org/W6741057705","https://openalex.org/W6745397846","https://openalex.org/W6752691502","https://openalex.org/W6754634825","https://openalex.org/W6755487101","https://openalex.org/W6761436890","https://openalex.org/W6767283390","https://openalex.org/W6767508033","https://openalex.org/W6767848769","https://openalex.org/W6768812922","https://openalex.org/W6792021024"],"related_works":["https://openalex.org/W3195420051","https://openalex.org/W2161453113","https://openalex.org/W2393286898","https://openalex.org/W1697313865","https://openalex.org/W2162059757","https://openalex.org/W4366281253","https://openalex.org/W4308236560","https://openalex.org/W2368756510","https://openalex.org/W2526062946","https://openalex.org/W2038945488"],"abstract_inverted_index":{"End-to-end":[0],"optimization":[1],"via":[2,94,109],"deep":[3,55],"neural":[4,12],"networks":[5],"has":[6],"facilitated":[7],"lossy":[8],"image":[9,19,156],"compression.":[10],"Existing":[11],"network-based":[13],"entropy":[14,51,67,84,145],"models":[15],"for":[16,38,83,140],"end-to-end":[17,171],"optimized":[18,172],"compression":[20,157],"are":[21],"limited":[22],"by":[23],"parameterized":[24],"Gaussian":[25,56],"distributions":[26,78],"with":[27,41],"deterministic":[28],"mean":[29],"and":[30,32,113,165,177],"variance":[31],"cannot":[33],"achieve":[34],"accurate":[35],"rate":[36],"estimation":[37,92,143],"bottleneck":[39,81],"representation":[40,82],"varying":[42],"statistics.":[43],"In":[44],"this":[45,62,128],"paper,":[46],"we":[47,87],"propose":[48],"a":[49,89],"novel":[50],"model":[52,68,139,153],"based":[53],"on":[54,174],"process":[57],"regression":[58],"(DGPR)":[59],"to":[60,72,117,134],"address":[61],"problem.":[63],"Specifically,":[64],"the":[65,75,100,131,136,151,175],"proposed":[66,152],"leverages":[69],"autoregressive":[70],"DGPR":[71,98],"flexibly":[73],"predict":[74],"channel-wise":[76],"posterior":[77,95],"of":[79,97,122,182],"high-dimensional":[80],"coding.":[85],"Consequently,":[86],"develop":[88,135],"well-established":[90],"bit-rate":[91],"scheme":[93],"inference":[96,121],"using":[99],"learned":[101],"probabilistic":[102,138],"distribution.":[103],"Furthermore,":[104],"scalable":[105],"training":[106],"is":[107,130],"achieved":[108],"tensor":[110],"train":[111],"decomposition":[112],"Monte":[114],"Carlo":[115],"sampling":[116],"enable":[118],"tractable":[119],"variational":[120],"DGPR.":[123],"To":[124],"our":[125],"best":[126],"knowledge,":[127],"paper":[129],"first":[132],"attempt":[133],"learnable":[137],"flexible":[141],"parameter":[142],"in":[144,180],"modeling.":[146],"Experimental":[147],"results":[148],"show":[149],"that":[150],"outperforms":[154],"conventional":[155],"methods":[158,173],"(":[159],"<italic":[160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e.g</i>":[162],".,":[163],"JPEG2000":[164],"BPG)":[166],"as":[167,169],"well":[168],"recent":[170],"Kodak":[176],"Tecnick":[178],"datasets":[179],"terms":[181],"rate-distortion":[183],"performance.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
