{"id":"https://openalex.org/W4391306498","doi":"https://doi.org/10.1109/vcip59821.2023.10402631","title":"Flexible Coding Order for Learned Image Compression","display_name":"Flexible Coding Order for Learned Image Compression","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391306498","doi":"https://doi.org/10.1109/vcip59821.2023.10402631"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip59821.2023.10402631","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/A5030616168","display_name":"Yuqi Li","orcid":"https://orcid.org/0000-0003-0228-242X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqi Li","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China,230027"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China,230027","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103116384","display_name":"Haotian Zhang","orcid":"https://orcid.org/0009-0004-7193-9127"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Zhang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China,230027"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China,230027","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China,230027"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China,230027","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030616168"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.4914,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67129261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T10901","display_name":"Advanced Data Compression 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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7439495921134949},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.6970124840736389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65201336145401},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.5494973063468933},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5429643392562866},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.538212239742279},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.523014485836029},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.5195013284683228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4828551411628723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47101840376853943},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.4532020688056946},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.4428779184818268},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.43104875087738037},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.42693233489990234},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.42431578040122986},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41573256254196167},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33578377962112427},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.31717878580093384},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.2549641728401184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2483721375465393},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20708048343658447},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14362585544586182},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08842712640762329}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7439495921134949},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.6970124840736389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65201336145401},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.5494973063468933},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5429643392562866},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.538212239742279},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.523014485836029},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.5195013284683228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4828551411628723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47101840376853943},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.4532020688056946},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.4428779184818268},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.43104875087738037},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.42693233489990234},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.42431578040122986},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41573256254196167},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33578377962112427},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.31717878580093384},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.2549641728401184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2483721375465393},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20708048343658447},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14362585544586182},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08842712640762329},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"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/vcip59821.2023.10402631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip59821.2023.10402631","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2140199336","https://openalex.org/W2573301515","https://openalex.org/W2741137940","https://openalex.org/W2949361041","https://openalex.org/W2962676454","https://openalex.org/W2964098744","https://openalex.org/W3138516171","https://openalex.org/W3175457126","https://openalex.org/W3202918664","https://openalex.org/W4287605633","https://openalex.org/W4313021454","https://openalex.org/W4372271371","https://openalex.org/W6754634825"],"related_works":["https://openalex.org/W2156106714","https://openalex.org/W1579872668","https://openalex.org/W4312628177","https://openalex.org/W1587903609","https://openalex.org/W2479819259","https://openalex.org/W2123072960","https://openalex.org/W1994532706","https://openalex.org/W1499106570","https://openalex.org/W2668751350","https://openalex.org/W2126443138"],"abstract_inverted_index":{"Learned":[0],"image":[1],"compression":[2,80,179],"(LIC)":[3],"methods":[4],"have":[5],"made":[6],"significant":[7],"advances":[8],"in":[9,69,134],"recent":[10],"years.":[11],"In":[12,33],"LIC,":[13],"entropy":[14,35,71],"model":[15,97,175],"is":[16],"an":[17,63],"essential":[18],"component,":[19],"which":[20,45],"utilizes":[21],"conditional":[22],"information":[23],"to":[24,47,110,122,129,147],"predict":[25,111],"the":[26,30,34,76,84,112,131,150,163,172],"probability":[27,113],"distribution":[28,114],"over":[29],"latent":[31,132],"space.":[32],"models,":[36,72],"many":[37],"context":[38,96,174],"models":[39],"follow":[40],"a":[41,94,100,124,135,167],"spatially":[42],"autoregressive":[43,51,173],"paradigm,":[44],"leads":[46],"sequential":[48],"coding.":[49],"The":[50],"coding":[52,67,85,127,152],"order,":[53],"however,":[54],"may":[55],"be":[56],"neither":[57],"optimal":[58],"nor":[59],"efficient.":[60],"We":[61,87],"conduct":[62],"elaborate":[64],"study":[65],"on":[66,75],"orders":[68],"LIC":[70],"shedding":[73],"light":[74],"potential":[77],"for":[78,154],"improving":[79],"performance":[81,170],"by":[82],"adapting":[83],"order.":[86],"present":[88],"Mask":[89,103],"Modeling":[90,104],"Context":[91],"Model":[92],"(MMCM),":[93],"transformer-based":[95],"designed":[98],"with":[99],"Patch-restricted":[101],"Iterative":[102],"(PIMM)":[105],"training":[106,109],"strategy.":[107],"Through":[108],"of":[115],"randomly":[116],"masked":[117],"tokens,":[118],"we":[119,140],"are":[120],"able":[121],"use":[123],"patch-level":[125],"arbitrary":[126],"order":[128,153],"encode/decode":[130],"space":[133],"few":[136],"iterative":[137],"steps.":[138],"Additionally,":[139],"employ":[141],"offline":[142],"and":[143],"online":[144],"rate-distortion":[145,169],"optimization":[146],"adaptively":[148],"select":[149],"appropriate":[151],"each":[155],"image.":[156],"Our":[157],"extensive":[158],"experimental":[159],"results":[160],"demonstrate":[161],"that":[162],"proposed":[164],"method":[165],"achieves":[166],"better":[168],"than":[171],"while":[176],"requiring":[177],"less":[178],"complexity.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}