{"id":"https://openalex.org/W2900996853","doi":"https://doi.org/10.1109/tcsvt.2018.2880492","title":"Efficient Variable Rate Image Compression With Multi-Scale Decomposition Network","display_name":"Efficient Variable Rate Image Compression With Multi-Scale Decomposition Network","publication_year":2018,"publication_date":"2018-11-12","ids":{"openalex":"https://openalex.org/W2900996853","doi":"https://doi.org/10.1109/tcsvt.2018.2880492","mag":"2900996853"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2880492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2880492","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/A5002420179","display_name":"Chunlei Cai","orcid":"https://orcid.org/0000-0002-8515-6682"},"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":"Chunlei Cai","raw_affiliation_strings":["Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8515-6682","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379203","display_name":"Li Chen","orcid":"https://orcid.org/0000-0001-9899-2535"},"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":"Li Chen","raw_affiliation_strings":["Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9899-2535","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452809","display_name":"Xiaoyun Zhang","orcid":"https://orcid.org/0000-0001-7680-4062"},"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":"Xiaoyun Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7680-4062","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101926731","display_name":"Zhiyong Gao","orcid":"https://orcid.org/0000-0003-4204-6536"},"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":"Zhiyong Gao","raw_affiliation_strings":["Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.6011,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.92868857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"29","issue":"12","first_page":"3687","last_page":"3700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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":0.9994999766349792,"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/image-compression","display_name":"Image compression","score":0.6842188835144043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595368385314941},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6053183674812317},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5913676619529724},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5451871156692505},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5169593691825867},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5130011439323425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4768082797527313},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.46666663885116577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45825472474098206},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.418739378452301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3744540214538574},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3008747696876526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24150335788726807},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.1730884313583374}],"concepts":[{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6842188835144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595368385314941},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6053183674812317},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5913676619529724},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5451871156692505},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5169593691825867},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5130011439323425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4768082797527313},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.46666663885116577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45825472474098206},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.418739378452301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3744540214538574},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3008747696876526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24150335788726807},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.1730884313583374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2018.2880492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2880492","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/G5681140117","display_name":null,"funder_award_id":"STCSM18DZ2270700","funder_id":"https://openalex.org/F4320327718","funder_display_name":"Shanghai Key Laboratory of Digital Media Processing and Transmission"},{"id":"https://openalex.org/G639214180","display_name":null,"funder_award_id":"61527804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G816574849","display_name":null,"funder_award_id":"18ZR1418100","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G8280628348","display_name":"\u5e27\u7387\u63d0\u5347\u4e0e\u538b\u7f29\u7f16\u7801\u7684\u8054\u5408\u4f18\u5316\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327718","display_name":"Shanghai Key Laboratory of Digital Media Processing and Transmission","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W2001027782","https://openalex.org/W2001112896","https://openalex.org/W2086614154","https://openalex.org/W2101700394","https://openalex.org/W2118217749","https://openalex.org/W2119047110","https://openalex.org/W2132984323","https://openalex.org/W2140196014","https://openalex.org/W2146395539","https://openalex.org/W2148593155","https://openalex.org/W2166816543","https://openalex.org/W2167305996","https://openalex.org/W2178928294","https://openalex.org/W2194775991","https://openalex.org/W2271840356","https://openalex.org/W2490784316","https://openalex.org/W2552465432","https://openalex.org/W2597747080","https://openalex.org/W2604392022","https://openalex.org/W2732044853","https://openalex.org/W2740336064","https://openalex.org/W2766736793","https://openalex.org/W2782648016","https://openalex.org/W2891212213","https://openalex.org/W2895957955","https://openalex.org/W2951523806","https://openalex.org/W2962676454","https://openalex.org/W2963149687","https://openalex.org/W2963447011","https://openalex.org/W4254197176","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W4297772798","https://openalex.org/W6621378261","https://openalex.org/W6631190155","https://openalex.org/W6682610290","https://openalex.org/W6684987366","https://openalex.org/W6691096134","https://openalex.org/W6694251005","https://openalex.org/W6734035190","https://openalex.org/W6741057705","https://openalex.org/W6754669699","https://openalex.org/W6755493042"],"related_works":["https://openalex.org/W2390873329","https://openalex.org/W2385039112","https://openalex.org/W2137460601","https://openalex.org/W2354616978","https://openalex.org/W2357744830","https://openalex.org/W2375053416","https://openalex.org/W2387270800","https://openalex.org/W2151403598","https://openalex.org/W2006865992","https://openalex.org/W1575921859"],"abstract_inverted_index":{"While":[0],"deep":[1],"learning":[2],"image":[3,49,98,128],"compression":[4,34,50,221],"methods":[5],"have":[6,180],"shown":[7,181],"an":[8,70],"impressive":[9],"coding":[10],"performance,":[11],"most":[12],"of":[13,78,102,126],"them":[14],"output":[15],"a":[16,20,37,41,47,56,131,139,153,159],"single-optimized-compression":[17],"rate":[18,33,39,67,86,134,163,216],"using":[19],"trained-specific":[21],"network.":[22],"However,":[23],"in":[24],"practice,":[25],"it":[26,53],"is":[27,92,144,170],"essential":[28],"to":[29,63,94,121,217],"support":[30],"the":[31,65,89,96,106,123,142,162,165,167,174,187,196,203,215,219],"variable":[32,66],"or":[35,135],"meet":[36],"target":[38,133,140,154,220],"with":[40,69,192],"high-coding":[42],"performance.":[43,74],"This":[44],"paper":[45],"proposes":[46],"novel":[48],"method,":[51],"making":[52],"possible":[54],"for":[55,109,115,130,152],"single":[57],"convolutional":[58],"neural":[59],"network":[60,91],"(CNN)":[61],"model":[62],"generate":[64,218],"efficiently":[68],"optimized":[71],"rate-distortion":[72],"(RD)":[73],"The":[75,177],"method":[76,184,211],"consists":[77],"CNN-based":[79],"multi-scale":[80,204],"decomposition":[81],"transform":[82,90],"and":[83,164,189,195],"content":[84,148],"adaptive":[85,145],"allocation.":[87],"Specifically,":[88],"learned":[93],"decompose":[95],"input":[97],"into":[99],"several":[100],"scales":[101],"representations":[103],"while":[104],"optimizing":[105],"RD":[107,175,198],"performance":[108,199],"all":[110],"scales.":[111],"Rate":[112],"allocation":[113,143],"algorithms":[114],"two":[116],"typical":[117],"scenarios":[118],"are":[119],"provided":[120],"determine":[122],"optimal":[124,168],"scale":[125,169],"each":[127],"block":[129],"given":[132],"quality":[136,155],"factor.":[137],"For":[138],"rate,":[141],"based":[146],"on":[147],"complexity.":[149],"In":[150],"addition,":[151],"factor":[156],"which":[157],"indicates":[158],"tradeoff":[160],"between":[161],"quality,":[166],"determined":[171],"by":[172,202],"minimizing":[173],"cost.":[176],"experimental":[178],"results":[179],"that":[182],"our":[183,210],"has":[185],"outperformed":[186],"JPEG2000":[188],"BPG":[190],"standards":[191],"high":[193],"efficiency":[194],"state-of-the-art":[197],"as":[200],"measured":[201],"structural":[205],"similarity":[206],"index":[207],"metric.":[208],"Moreover,":[209],"can":[212],"strictly":[213],"control":[214],"result.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}