{"id":"https://openalex.org/W4386596842","doi":"https://doi.org/10.1109/icip49359.2023.10222067","title":"Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression","display_name":"Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596842","doi":"https://doi.org/10.1109/icip49359.2023.10222067"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222067","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 Image Processing (ICIP)","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/A5016100125","display_name":"Shujia Li","orcid":"https://orcid.org/0000-0002-4933-9051"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shujia Li","raw_affiliation_strings":["Peking University,Wangxuan Institute of Computer Technology,Beijing,China","Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Wangxuan Institute of Computer Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008839625","display_name":"Dezhao Wang","orcid":"https://orcid.org/0009-0003-0138-0359"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhao Wang","raw_affiliation_strings":["Peking University,Wangxuan Institute of Computer Technology,Beijing,China","Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Wangxuan Institute of Computer Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026558669","display_name":"Zejia Fan","orcid":"https://orcid.org/0000-0002-6205-3808"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejia Fan","raw_affiliation_strings":["Peking University,Wangxuan Institute of Computer Technology,Beijing,China","Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Wangxuan Institute of Computer Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Peking University,Wangxuan Institute of Computer Technology,Beijing,China","Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Wangxuan Institute of Computer Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016100125"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10489848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3195","last_page":"3199"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7855422496795654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749112844467163},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.6433229446411133},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6429446935653687},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.608695387840271},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5617520809173584},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.5458347201347351},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5316252112388611},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4788101315498352},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4304426312446594},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.423332542181015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3771879971027374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3614528179168701},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.3266482651233673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15630412101745605},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09936565160751343}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7855422496795654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749112844467163},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.6433229446411133},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6429446935653687},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.608695387840271},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5617520809173584},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.5458347201347351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5316252112388611},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4788101315498352},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4304426312446594},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.423332542181015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3771879971027374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3614528179168701},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.3266482651233673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15630412101745605},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09936565160751343},{"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},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222067","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 Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1102186166","display_name":null,"funder_award_id":"62172020","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":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2101700394","https://openalex.org/W2547875792","https://openalex.org/W2552465432","https://openalex.org/W2741137940","https://openalex.org/W2785562966","https://openalex.org/W2893920456","https://openalex.org/W2936032968","https://openalex.org/W2949361041","https://openalex.org/W2962676454","https://openalex.org/W2964098744","https://openalex.org/W2997572967","https://openalex.org/W3034469748","https://openalex.org/W3091266734","https://openalex.org/W3138516171","https://openalex.org/W3175457126","https://openalex.org/W4297659253","https://openalex.org/W4312590925","https://openalex.org/W6631190155","https://openalex.org/W6694251005","https://openalex.org/W6729448088","https://openalex.org/W6754634825","https://openalex.org/W6755487101"],"related_works":["https://openalex.org/W2131702615","https://openalex.org/W2383844503","https://openalex.org/W1499106570","https://openalex.org/W3105615783","https://openalex.org/W2354884987","https://openalex.org/W2136537500","https://openalex.org/W2375774096","https://openalex.org/W2096362443","https://openalex.org/W1981728734","https://openalex.org/W2181722884"],"abstract_inverted_index":{"State-of-the-art":[0],"entropy":[1,17],"models,":[2,6],"e.g.":[3],"autoregressive":[4,21],"context":[5,58,74,91],"utilize":[7],"spatial":[8],"correlation":[9],"among":[10],"latent":[11,81],"representations,":[12],"leading":[13,93],"to":[14,94],"more":[15],"accurate":[16],"estimation.":[18],"However,":[19],"this":[20],"design":[22,84],"naturally":[23],"results":[24,117],"in":[25,79],"serial":[26],"decoding":[27,36],"and":[28,39,112],"the":[29,35,44,67,72,87,90,100,108,120,124],"infeasibility":[30],"of":[31,89],"parallelization,":[32],"which":[33],"makes":[34],"procedure":[37],"slow":[38],"less":[40,128],"practical.":[41],"To":[42],"address":[43],"issue,":[45],"we":[46],"propose":[47],"a":[48,56],"Content-Adaptive":[49],"Parallel":[50],"Entropy":[51],"Model":[52],"(CAPEM)":[53],"that":[54,119],"takes":[55],"two-pass":[57],"calculation":[59],"with":[60,127],"dynamically":[61],"generated":[62],"patterns.":[63],"Our":[64],"CAPEM":[65],"relaxes":[66],"strict":[68],"coding":[69,96],"order":[70],"while":[71,98],"dynamic":[73],"mechanism":[75],"still":[76],"promotes":[77],"flexibility":[78],"capturing":[80],"dependency.":[82],"This":[83],"greatly":[85],"improves":[86],"parallelism":[88],"model,":[92],"higher":[95],"efficiency":[97],"maintaining":[99],"same":[101],"rate-distortion":[102],"performance.":[103],"We":[104],"test":[105],"it":[106],"on":[107],"widely":[109],"used":[110],"Kodak":[111],"CLIC":[113],"image":[114],"datasets.":[115],"Experimental":[116],"show":[118],"proposed":[121],"model":[122],"outperforms":[123],"recent":[125],"works":[126],"complexity.":[129]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}