{"id":"https://openalex.org/W2044125620","doi":"https://doi.org/10.1109/icassp.2010.5495197","title":"Escaped-Huffman and adaptive recursive rice coding for lossless compression of the mapped domain linear prediction residual","display_name":"Escaped-Huffman and adaptive recursive rice coding for lossless compression of the mapped domain linear prediction residual","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2044125620","doi":"https://doi.org/10.1109/icassp.2010.5495197","mag":"2044125620"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054467679","display_name":"Noboru Harada","orcid":"https://orcid.org/0000-0002-1759-4533"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Harada","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","NTT Commun. Sci. Lab., Nippon Telegraph & Telephone Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., Nippon Telegraph & Telephone Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029262432","display_name":"Yutaka Kamamoto","orcid":"https://orcid.org/0000-0001-6578-9178"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Kamamoto","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","NTT Commun. Sci. Lab., Nippon Telegraph & Telephone Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., Nippon Telegraph & Telephone Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076091643","display_name":"Takehiro Moriya","orcid":"https://orcid.org/0000-0003-4591-1273"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiro Moriya","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","NTT Commun. Sci. Lab., Nippon Telegraph & Telephone Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., Nippon Telegraph & Telephone Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77707842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4646","last_page":"4649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.994700014591217,"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":0.994700014591217,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9402999877929688,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.6850157976150513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6846401691436768},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6680483818054199},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.611932635307312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.606856644153595},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5828539729118347},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5670815706253052},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5318973064422607},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.5072205066680908},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49729540944099426},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4375395178794861},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4317823648452759},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4174846112728119},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38834524154663086},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3578219413757324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18007653951644897},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14280131459236145}],"concepts":[{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.6850157976150513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6846401691436768},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6680483818054199},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.611932635307312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.606856644153595},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5828539729118347},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5670815706253052},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5318973064422607},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.5072205066680908},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49729540944099426},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4375395178794861},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4317823648452759},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4174846112728119},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38834524154663086},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3578219413757324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18007653951644897},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14280131459236145},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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":1,"referenced_works":["https://openalex.org/W2112422298"],"related_works":["https://openalex.org/W1579872668","https://openalex.org/W4312628177","https://openalex.org/W2123072960","https://openalex.org/W340392727","https://openalex.org/W1994532706","https://openalex.org/W4297360799","https://openalex.org/W2064300363","https://openalex.org/W1499106570","https://openalex.org/W2129652681","https://openalex.org/W2096793045"],"abstract_inverted_index":{"ITU-T":[0],"Recommendation":[1],"G.711.0":[2,34],"has":[3],"just":[4],"been":[5],"established.":[6],"It":[7],"defines":[8],"a":[9,95],"lossless":[10,58],"and":[11,21,30,48,103,131],"stateless":[12],"compression":[13,59,101,111],"for":[14,41,57,67,78],"G.711":[15],"packet":[16],"payloads":[17],"(for":[18],"both":[19],"A-law":[20],"\u03bc-law).":[22],"This":[23],"paper":[24],"introduces":[25],"some":[26],"coding":[27,47,50,56,69],"technologies":[28],"proposed":[29,107],"applied":[31],"to":[32],"the":[33,42,61,76,79,88,98,110,119,135],"codec,":[35],"such":[36],"as":[37],"Plus-Minus":[38],"zero":[39],"mapping":[40],"mapped":[43],"domain":[44],"linear":[45],"predictive":[46],"escaped-Huffman":[49],"combined":[51],"with":[52,75],"adaptive":[53],"recursive":[54],"Rice":[55],"of":[60,90,97,122],"prediction":[62],"residual.":[63],"Performance":[64],"test":[65],"results":[66,77],"those":[68],"tools":[70,108],"are":[71],"shown":[72],"in":[73,115,129,134],"comparison":[74],"conventional":[80],"technology.":[81],"The":[82,106],"performance":[83,102,112],"is":[84,94],"measured":[85],"based":[86],"on":[87],"figure":[89],"merit":[91],"(FoM),":[92],"which":[93],"function":[96],"trade-off":[99],"between":[100],"computational":[104,120],"complexity.":[105],"improve":[109],"by":[113],"0.16%":[114],"total":[116],"while":[117],"keeping":[118],"complexity":[121],"encoder/decoder":[123],"pair":[124],"low":[125],"(about":[126],"1.0":[127],"WMOPS":[128,133],"average":[130],"1.667":[132],"worst-case).":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}