{"id":"https://openalex.org/W4308233944","doi":"https://doi.org/10.1109/icip46576.2022.9897690","title":"Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression","display_name":"Adaptive Multi-Scale Progressive Probability Model for Lossless Image Compression","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308233944","doi":"https://doi.org/10.1109/icip46576.2022.9897690"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897690","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Honglei Zhang","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049106121","display_name":"Francesco Cricri","orcid":"https://orcid.org/0000-0002-1521-420X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Francesco Cricri","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029604638","display_name":"Nannan Zou","orcid":"https://orcid.org/0000-0001-5553-5975"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Nannan Zou","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002546998","display_name":"Hamed R. Tavakoli","orcid":"https://orcid.org/0000-0002-9466-9148"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hamed R. Tavakoli","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044816664","display_name":"Miska M. Hannuksela","orcid":"https://orcid.org/0000-0003-3405-0850"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miska M. Hannuksela","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100671939"],"corresponding_institution_ids":["https://openalex.org/I2738502077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1040211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"721","last_page":"725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9972000122070312,"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":0.843619167804718},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.720388650894165},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6772953867912292},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6373500227928162},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.595981776714325},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5829524993896484},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5205503702163696},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45768797397613525},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45595505833625793},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45393264293670654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4326733350753784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2942161560058594},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.12061667442321777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843619167804718},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.720388650894165},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6772953867912292},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6373500227928162},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.595981776714325},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5829524993896484},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5205503702163696},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45768797397613525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45595505833625793},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45393264293670654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4326733350753784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2942161560058594},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.12061667442321777},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897690","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2064674198","https://openalex.org/W2099419573","https://openalex.org/W2129768577","https://openalex.org/W2146395539","https://openalex.org/W2786808285","https://openalex.org/W2965631471","https://openalex.org/W2984555515","https://openalex.org/W3015028689","https://openalex.org/W3094954034","https://openalex.org/W3108536229","https://openalex.org/W3117485197","https://openalex.org/W3120355627","https://openalex.org/W3134103293","https://openalex.org/W3197337676","https://openalex.org/W3202918664","https://openalex.org/W4205266802","https://openalex.org/W4205449766","https://openalex.org/W4288083516","https://openalex.org/W6762439214","https://openalex.org/W6774630179","https://openalex.org/W6775605725"],"related_works":["https://openalex.org/W4205607586","https://openalex.org/W2980252933","https://openalex.org/W1888655105","https://openalex.org/W1994767227","https://openalex.org/W2054991208","https://openalex.org/W4206534210","https://openalex.org/W2610181890","https://openalex.org/W2948148442","https://openalex.org/W2359242134","https://openalex.org/W2461250372"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,24,101,167],"is":[2,61,71],"an":[3,125],"efficient":[4],"technique":[5,25],"to":[6,18,44,64,73,79,111,150,169,182,192],"improve":[7],"the":[8,19,38,42,45,55,65,68,75,80,89,92,97,100,113,118,139,147,152,156,160,171,175,193],"performance":[9],"of":[10,83,91],"a":[11,15,50,165],"system":[12],"by":[13,48,162],"adapting":[14],"pre-trained":[16,51],"model":[17,52,70,130],"given":[20],"input":[21,46],"data.":[22],"The":[23,58,135,177],"has":[26,142],"been":[27,109,144],"generally":[28],"applied":[29],"in":[30,85,173],"conventional":[31],"video":[32],"codecs.":[33],"For":[34],"neural":[35,87],"network-based":[36],"systems,":[37],"encoder":[39],"may":[40,95],"adapt":[41],"decoder":[43,56,66,157,172],"data":[47,140],"fine-tuning":[49,161],"present":[53],"at":[54,146],"side.":[57],"weight":[59,93],"update":[60,94],"then":[62],"transferred":[63],"and":[67],"updated":[69],"used":[72],"decode":[74],"bitstream.":[76],"However,":[77],"due":[78],"large":[81],"number":[82],"parameters":[84],"deep":[86],"networks,":[88],"overhead":[90,114,168],"diminish":[96],"gain":[98],"from":[99],"technique.":[102],"In":[103,120],"recent":[104],"years,":[105],"various":[106],"methods":[107],"have":[108],"proposed":[110,136,178],"reduce":[112],"without":[115],"significantly":[116],"compromising":[117],"gain.":[119],"this":[121],"paper,":[122],"we":[123],"propose":[124],"adaptive":[126],"multi-scale":[127],"progressive":[128],"probability":[129,153],"for":[131],"lossless":[132],"image":[133],"compression.":[134],"method":[137,179],"uses":[138],"that":[141],"already":[143],"processed":[145],"inference":[148],"stage":[149],"fine-tune":[151],"model.":[154],"Importantly,":[155],"can":[158],"apply":[159],"itself":[163],"resulting":[164],"small":[166],"help":[170],"performing":[174],"fine-tuning.":[176],"achieves":[180],"up":[181],"0.28":[183],"bits-per-pixel":[184],"(BPP)":[185],"reduction":[186],"on":[187],"four":[188],"benchmark":[189],"datasets":[190],"compared":[191],"state-of-the-art":[194],"method.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
