{"id":"https://openalex.org/W4391307033","doi":"https://doi.org/10.1109/vcip59821.2023.10402697","title":"Learned Image Compression with Enhanced Dynamic Spatial Aggregation and Asymmetric Entropy model","display_name":"Learned Image Compression with Enhanced Dynamic Spatial Aggregation and Asymmetric Entropy model","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391307033","doi":"https://doi.org/10.1109/vcip59821.2023.10402697"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402697","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5049991780","display_name":"Yuantong Zhang","orcid":"https://orcid.org/0000-0002-1473-940X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuantong Zhang","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058251267","display_name":"Nianxiang Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianxiang Fu","raw_affiliation_strings":["Wuhan University,Hubei Luojia Laboratory,Wuhan,China","Hubei Luojia Laboratory, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Hubei Luojia Laboratory,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652862","display_name":"Yu Guo","orcid":"https://orcid.org/0000-0002-5489-8288"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Yu","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111120015","display_name":"Xiangdong Lv","orcid":"https://orcid.org/0009-0000-0074-2176"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Lv","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050242390","display_name":"Huairui Wang","orcid":"https://orcid.org/0009-0004-2870-6117"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huairui Wang","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006748765","display_name":"Zhenzhong Chen","orcid":"https://orcid.org/0000-0002-7882-1066"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhong Chen","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, Wuhan University, Wuhan, China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049991780"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19459725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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":0.6035594940185547},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5798152089118958},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5412525534629822},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4692613482475281},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4662560224533081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3221897482872009},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3126550316810608},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19706860184669495},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09419217705726624},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08087107539176941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035594940185547},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5798152089118958},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5412525534629822},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4692613482475281},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4662560224533081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3221897482872009},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3126550316810608},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19706860184669495},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09419217705726624},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08087107539176941},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402697","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":29,"referenced_works":["https://openalex.org/W2040903332","https://openalex.org/W2194775991","https://openalex.org/W2286454943","https://openalex.org/W2552465432","https://openalex.org/W2601564443","https://openalex.org/W2785562966","https://openalex.org/W2949361041","https://openalex.org/W2966926453","https://openalex.org/W2982536526","https://openalex.org/W3004685385","https://openalex.org/W3034469748","https://openalex.org/W3091266734","https://openalex.org/W3138516171","https://openalex.org/W3175457126","https://openalex.org/W3202918664","https://openalex.org/W3206996732","https://openalex.org/W3212865599","https://openalex.org/W4223425316","https://openalex.org/W4224952155","https://openalex.org/W4225672218","https://openalex.org/W4283817357","https://openalex.org/W4287605633","https://openalex.org/W4312349930","https://openalex.org/W4312590925","https://openalex.org/W4312806968","https://openalex.org/W4386044402","https://openalex.org/W4386076222","https://openalex.org/W6696118455","https://openalex.org/W6754634825"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W2612632602","https://openalex.org/W2595043295"],"abstract_inverted_index":{"Learned":[0],"image":[1],"compression":[2,142],"(LIC)":[3],"has":[4],"shown":[5],"significant":[6],"potential":[7],"and":[8,82,99,108,118,146],"better":[9],"rate-distortion":[10,132],"performance":[11,133],"than":[12],"traditional":[13,141],"techniques.":[14],"However,":[15],"existing":[16],"CNN-based":[17],"approaches":[18],"or":[19],"window-based":[20],"self-attention":[21],"methods":[22,143],"can":[23],"only":[24],"capture":[25,58],"spatial":[26,42,83],"information":[27,60],"within":[28,61],"fixed":[29],"ranges.":[30],"To":[31],"tackle":[32],"this":[33],"limitation,":[34],"we":[35,69],"propose":[36],"a":[37,71,86,128],"novel":[38],"method":[39,91,137],"with":[40],"dynamic":[41],"aggregation":[43],"for":[44],"transform":[45,66],"coding.":[46],"Our":[47],"approach":[48,113],"introduces":[49],"enhanced":[50],"adaptive":[51],"aggregation,":[52],"which":[53],"generates":[54],"kernel":[55],"offsets":[56],"to":[57,140],"relevant":[59],"content-dependent":[62],"ranges,":[63],"improving":[64],"the":[65,96,103],"process.":[67],"Furthermore,":[68],"define":[70],"generalized":[72],"coarse-to-fine":[73,87],"entropy":[74,105],"model":[75,106],"that":[76],"considers":[77],"global":[78],"context,":[79],"channel-wise":[80],"information,":[81],"context":[84],"in":[85,131],"manner.":[88],"Additionally,":[89],"our":[90,112,136],"takes":[92],"into":[93],"full":[94],"consideration":[95],"model\u2019s":[97],"efficiency":[98],"complexity.":[100],"By":[101],"introducing":[102],"asymmetric":[104],"structure":[107],"efficient":[109],"heterogeneous":[110],"convolution,":[111],"maintains":[114],"lower":[115],"coding":[116],"complexity":[117],"higher":[119],"decoding":[120],"speed":[121],"while":[122],"ensuring":[123],"performance.":[124],"Experimental":[125],"results":[126],"demonstrate":[127],"substantial":[129],"improvement":[130],"achieved":[134],"by":[135],"when":[138],"compared":[139],"like":[144],"VTM":[145],"BPG,":[147],"as":[148,150],"well":[149],"some":[151],"LIC":[152],"methods.":[153]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}