{"id":"https://openalex.org/W2086374114","doi":"https://doi.org/10.2197/ipsjtrans.6.121","title":"A Variable-length-to-fixed-length Coding Method Using a Re-Pair Algorithm","display_name":"A Variable-length-to-fixed-length Coding Method Using a Re-Pair Algorithm","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2086374114","doi":"https://doi.org/10.2197/ipsjtrans.6.121","mag":"2086374114"},"language":"en","primary_location":{"id":"doi:10.2197/ipsjtrans.6.121","doi":"https://doi.org/10.2197/ipsjtrans.6.121","is_oa":true,"landing_page_url":"https://doi.org/10.2197/ipsjtrans.6.121","pdf_url":"https://www.jstage.jst.go.jp/article/ipsjtrans/6/0/6_121/_pdf","source":{"id":"https://openalex.org/S4210240479","display_name":"IPSJ Online Transactions","issn_l":"1882-6660","issn":["1882-6660"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310313411","host_organization_name":"Information Processing Society of Japan","host_organization_lineage":["https://openalex.org/P4310313411"],"host_organization_lineage_names":["Information Processing Society of Japan"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPSJ Online Transactions","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/ipsjtrans/6/0/6_121/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085511769","display_name":"Satoshi Yoshida","orcid":"https://orcid.org/0000-0002-0521-5209","observed_orcids":["https://orcid.org/0000-0002-0521-5209"]},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Yoshida","raw_affiliation_strings":["Graduate school of Information Science and Technology, Hokkaido University","[Graduate School of Information Science and Technology, Hokkaido Univ.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate school of Information Science and Technology, Hokkaido University","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"[Graduate School of Information Science and Technology, Hokkaido Univ.]","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087840941","display_name":"Takuya Kida","orcid":"https://orcid.org/0000-0003-1666-3303","observed_orcids":["https://orcid.org/0000-0003-1666-3303"]},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Kida","raw_affiliation_strings":["Graduate school of Information Science and Technology, Hokkaido University","[Graduate School of Information Science and Technology, Hokkaido Univ.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate school of Information Science and Technology, Hokkaido University","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"[Graduate School of Information Science and Technology, Hokkaido Univ.]","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":"6","issue":"0","first_page":"121","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.0,"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/T11567","display_name":"semigroups and automata theory","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/grammar-based-compression","display_name":"grammar-based compression","score":0.9779999852180481},{"id":"https://openalex.org/keywords/fixed-length-codes","display_name":"fixed-length codes","score":0.7360000014305115},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"compression ratio","score":0.8650000095367432},{"id":"https://openalex.org/keywords/rule-extraction","display_name":"rule extraction","score":0.5410000085830688},{"id":"https://openalex.org/keywords/data-compression","display_name":"data compression","score":0.5090000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746619582176208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7237268686294556},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.664624035358429},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6189365386962891},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.48953303694725037},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4829084873199463},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.4641515016555786},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4390294551849365},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.43178680539131165},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43160080909729004},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30043846368789673},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.1856861710548401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16637161374092102},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1455276906490326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08756643533706665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0717126727104187},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.057238608598709106},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2197/ipsjtrans.6.121","doi":"https://doi.org/10.2197/ipsjtrans.6.121","is_oa":true,"landing_page_url":"https://doi.org/10.2197/ipsjtrans.6.121","pdf_url":"https://www.jstage.jst.go.jp/article/ipsjtrans/6/0/6_121/_pdf","source":{"id":"https://openalex.org/S4210240479","display_name":"IPSJ Online Transactions","issn_l":"1882-6660","issn":["1882-6660"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310313411","host_organization_name":"Information Processing Society of Japan","host_organization_lineage":["https://openalex.org/P4310313411"],"host_organization_lineage_names":["Information Processing Society of Japan"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPSJ Online Transactions","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2197/ipsjtrans.6.121","doi":"https://doi.org/10.2197/ipsjtrans.6.121","is_oa":true,"landing_page_url":"https://doi.org/10.2197/ipsjtrans.6.121","pdf_url":"https://www.jstage.jst.go.jp/article/ipsjtrans/6/0/6_121/_pdf","source":{"id":"https://openalex.org/S4210240479","display_name":"IPSJ Online Transactions","issn_l":"1882-6660","issn":["1882-6660"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310313411","host_organization_name":"Information Processing Society of Japan","host_organization_lineage":["https://openalex.org/P4310313411"],"host_organization_lineage_names":["Information Processing Society of Japan"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPSJ Online Transactions","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7958405914","display_name":"On high performance VF coding allowing fast and and sophisticated pattern matching","funder_award_id":"23700002","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2086374114.pdf","grobid_xml":"https://content.openalex.org/works/W2086374114.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W46679369","https://openalex.org/W131590303","https://openalex.org/W1494592156","https://openalex.org/W1499930986","https://openalex.org/W1508148894","https://openalex.org/W1514337702","https://openalex.org/W1522061241","https://openalex.org/W1530918642","https://openalex.org/W1586630604","https://openalex.org/W1594336245","https://openalex.org/W1622311505","https://openalex.org/W1972141762","https://openalex.org/W1976149088","https://openalex.org/W2039773906","https://openalex.org/W2056951886","https://openalex.org/W2070641109","https://openalex.org/W2101215277","https://openalex.org/W2108189215","https://openalex.org/W2111487449","https://openalex.org/W2113004376","https://openalex.org/W2114952752","https://openalex.org/W2118040516","https://openalex.org/W2121404746","https://openalex.org/W2126784841","https://openalex.org/W2130956967","https://openalex.org/W2138947530","https://openalex.org/W2160748429","https://openalex.org/W2164776117","https://openalex.org/W2171818384"],"related_works":["https://openalex.org/W1972141762","https://openalex.org/W4241840947","https://openalex.org/W1990599927","https://openalex.org/W1622311505","https://openalex.org/W1990351883","https://openalex.org/W2171854900","https://openalex.org/W2057837584","https://openalex.org/W2114952752","https://openalex.org/W2161039490","https://openalex.org/W131590303"],"abstract_inverted_index":{"In":[0,73],"this":[1,74],"study,":[2,75],"we":[3,76],"address":[4],"the":[5,95,141],"problem":[6],"of":[7,65,91],"improving":[8],"variable-length-to-fixed-length":[9],"codes":[10,35],"(VF":[11],"codes).":[12],"A":[13,46],"VF":[14,34,80,143],"code":[15,87],"is":[16,110,138],"an":[17,38],"encoding":[18],"scheme":[19],"that":[20,60,64,83,133],"uses":[21],"a":[22,56,78,85,89,111],"fixed-length":[23,86],"code,":[24],"which":[25,98,117,131],"provides":[26],"easy":[27],"access":[28],"to":[29,88,140],"compressed":[30],"data.":[31],"However,":[32],"conventional":[33],"generally":[36],"have":[37],"inferior":[39],"compression":[40,58,115,124],"ratio":[41,59],"compared":[42],"with":[43,63,122],"variable-length":[44],"codes.":[45],"method":[47,82,137],"proposed":[48,100,135],"by":[49,101],"Uemura":[50],"et":[51],"al.":[52],"in":[53,105],"2010":[54],"delivered":[55],"good":[57,119],"was":[61,69,99],"comparable":[62],"gzip,":[66],"but":[67],"it":[68],"very":[70],"time":[71],"consuming.":[72],"propose":[77],"new":[79],"coding":[81,136,144],"applies":[84],"set":[90],"rules":[92],"extracted":[93],"using":[94],"Re-Pair":[96,108],"algorithm,":[97],"Larsson":[102],"and":[103],"Moffat":[104],"1999.":[106],"The":[107],"algorithm":[109],"simple":[112],"offline":[113],"grammar-based":[114],"method,":[116],"has":[118],"compression-ratio":[120],"performance":[121],"moderate":[123],"speed.":[125],"We":[126],"also":[127],"present":[128],"experimental":[129],"results,":[130],"demonstrates":[132],"our":[134],"superior":[139],"existing":[142],"method.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2016-06-24T00:00:00"}
