{"id":"https://openalex.org/W4410538596","doi":"https://doi.org/10.1109/dcc62719.2025.00047","title":"A Predictive Method for Estimating the Limits of Lossless Data Compression","display_name":"A Predictive Method for Estimating the Limits of Lossless Data Compression","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4410538596","doi":"https://doi.org/10.1109/dcc62719.2025.00047"},"language":"en","primary_location":{"id":"doi:10.1109/dcc62719.2025.00047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc62719.2025.00047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Data Compression Conference (DCC)","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/A5117613688","display_name":"Ziqiao Ao","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiao Ao","raw_affiliation_strings":["Huawei Technology Co., Ltd.,Theory Lab, Central Research Institute 2012 Labs,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,Theory Lab, Central Research Institute 2012 Labs,Hong Kong,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022030361","display_name":"Zhaoyi Sun","orcid":"https://orcid.org/0009-0003-8197-1465"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyi Sun","raw_affiliation_strings":["Huawei Technology Co., Ltd.,Theory Lab, Central Research Institute 2012 Labs,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,Theory Lab, Central Research Institute 2012 Labs,Hong Kong,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004502095","display_name":"Jie Sun","orcid":"https://orcid.org/0000-0003-2553-1804"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Sun","raw_affiliation_strings":["Huawei Technology Co., Ltd.,Theory Lab, Central Research Institute 2012 Labs,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,Theory Lab, Central Research Institute 2012 Labs,Hong Kong,China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07683967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.5164999961853027,"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":0.5164999961853027,"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/lossless-compression","display_name":"Lossless compression","score":0.850636899471283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093693375587463},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5367940664291382},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5034329295158386},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.4556875228881836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28060752153396606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21667945384979248},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17928555607795715},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.05855610966682434},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.058422207832336426}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.850636899471283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093693375587463},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5367940664291382},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5034329295158386},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.4556875228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28060752153396606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21667945384979248},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17928555607795715},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.05855610966682434},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.058422207832336426},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc62719.2025.00047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc62719.2025.00047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Data Compression Conference (DCC)","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":2,"referenced_works":["https://openalex.org/W2582697902","https://openalex.org/W6784913597"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2032414556","https://openalex.org/W2169871401","https://openalex.org/W2057878850"],"abstract_inverted_index":{"In":[0],"this":[1,34],"paper,":[2],"we":[3,66],"address":[4],"the":[5,12,30,41,95],"limitations":[6],"of":[7,32,97,108],"current":[8],"measures":[9],"for":[10,29,77,117],"estimating":[11],"lossless":[13,78,119],"compression":[14,79,120],"limits.":[15],"Shannon":[16],"entropy,":[17],"while":[18],"practical,":[19],"assumes":[20],"a":[21,45,68,115],"known":[22],"data":[23,52,90],"distribution":[24],"and":[25,53,74,89,110],"does":[26],"not":[27],"account":[28],"complexity":[31],"representing":[33],"distribution.":[35],"Kolmogorov":[36],"Complexity":[37],"(KC)":[38],"[2],":[39],"on":[40,100,122],"other":[42],"hand,":[43],"offers":[44],"more":[46],"complete":[47],"measure":[48],"by":[49],"considering":[50],"both":[51],"model":[54,88],"complexity,":[55],"but":[56],"it":[57],"is":[58],"uncomputable":[59],"in":[60],"practice.":[61],"To":[62],"bridge":[63],"these":[64],"gaps,":[65],"propose":[67],"novel":[69],"framework":[70],"that":[71],"estimates":[72],"lower":[73],"upper":[75],"bounds":[76],"limits,":[80],"leveraging":[81],"neural":[82],"scaling":[83],"laws":[84],"[1]":[85],"to":[86],"balance":[87],"complexity.":[91],"Our":[92],"experiments":[93],"demonstrate":[94],"accuracy":[96],"our":[98],"approach":[99],"synthetic":[101],"datasets,":[102],"with":[103],"an":[104],"average":[105],"estimation":[106],"error":[107],"1.18%,":[109],"highlight":[111],"its":[112],"effectiveness":[113],"as":[114],"tool":[116],"evaluating":[118],"methods":[121],"real-world":[123],"datasets.":[124]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}