{"id":"https://openalex.org/W1971082577","doi":"https://doi.org/10.1109/tbc.2012.2186728","title":"Segmentation of Source Symbols for Adaptive Arithmetic Coding","display_name":"Segmentation of Source Symbols for Adaptive Arithmetic Coding","publication_year":2012,"publication_date":"2012-03-08","ids":{"openalex":"https://openalex.org/W1971082577","doi":"https://doi.org/10.1109/tbc.2012.2186728","mag":"1971082577"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2012.2186728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2012.2186728","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-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/A5100425173","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-0580-6412"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada","Commun. Res. Centre Canada, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]},{"raw_affiliation_string":"Commun. Res. Centre Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006383","display_name":"Demin Wang","orcid":"https://orcid.org/0000-0002-3494-5147"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Demin Wang","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada","Commun. Res. Centre Canada, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]},{"raw_affiliation_string":"Commun. Res. Centre Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062514822","display_name":"Zheng Dong","orcid":"https://orcid.org/0000-0002-0692-7486"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dong Zheng","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada","Commun. Res. Centre Canada, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]},{"raw_affiliation_string":"Commun. Res. Centre Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210151552"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100425173"],"corresponding_institution_ids":["https://openalex.org/I4210151552"],"apc_list":null,"apc_paid":null,"fwci":1.6473,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84758507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"58","issue":"2","first_page":"228","last_page":"235"},"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":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973000288009644,"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/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.8110629916191101},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.7700182199478149},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.6828071475028992},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.6461235880851746},{"id":"https://openalex.org/keywords/shannon\u2013fano-coding","display_name":"Shannon\u2013Fano coding","score":0.6246699094772339},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6165018677711487},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.5892130136489868},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5798993110656738},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.531636118888855},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.5193206071853638},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5120678544044495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5091978907585144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4907432794570923},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.4820590913295746},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4568198323249817},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44473764300346375},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4315027594566345},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4001849591732025},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3917558491230011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36138126254081726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2622627913951874},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21453064680099487}],"concepts":[{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.8110629916191101},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.7700182199478149},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.6828071475028992},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.6461235880851746},{"id":"https://openalex.org/C130811719","wikidata":"https://www.wikidata.org/wiki/Q2645","display_name":"Shannon\u2013Fano coding","level":4,"score":0.6246699094772339},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6165018677711487},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.5892130136489868},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5798993110656738},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.531636118888855},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.5193206071853638},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5120678544044495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5091978907585144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4907432794570923},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.4820590913295746},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4568198323249817},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44473764300346375},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4315027594566345},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4001849591732025},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3917558491230011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36138126254081726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2622627913951874},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21453064680099487},{"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/tbc.2012.2186728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2012.2186728","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2032225266","https://openalex.org/W2040166690","https://openalex.org/W2041291949","https://openalex.org/W2046419776","https://openalex.org/W2107742792","https://openalex.org/W2112721128","https://openalex.org/W2117882981","https://openalex.org/W2126540618","https://openalex.org/W2126664531","https://openalex.org/W2129652681","https://openalex.org/W2142069172","https://openalex.org/W2148844225","https://openalex.org/W2161628678","https://openalex.org/W2162193246","https://openalex.org/W2164532663","https://openalex.org/W2911940095","https://openalex.org/W6684443409"],"related_works":["https://openalex.org/W4312628177","https://openalex.org/W340392727","https://openalex.org/W1499106570","https://openalex.org/W2136537500","https://openalex.org/W3083947873","https://openalex.org/W2243473167","https://openalex.org/W2023595073","https://openalex.org/W2337073895","https://openalex.org/W1971082577","https://openalex.org/W2142739858"],"abstract_inverted_index":{"Adaptive":[0],"arithmetic":[1,105,124,142],"coding":[2,8,51,100,188,192,200,214],"is":[3,32,72,79,129,136,194],"a":[4,12,155,168],"general":[5],"technique":[6],"for":[7,201],"source":[9,29,64,70,115,127,179],"symbols":[10,30,41,71,116,180],"of":[11,25,28,63,69,77,92,102,114,121,149,162,171,178,186],"stochastic":[13],"process":[14],"based":[15],"on":[16,54],"an":[17,98,140,184,205],"adaptive":[18,21,48,58,82,104,123,141,173],"model.":[19,49],"The":[20,50,190],"model":[22,59,83,174],"provides":[23],"measures":[24,91],"the":[26,47,57,61,67,75,81,93,103,119,122,159,172,176,187],"statistics":[27,62,177],"and":[31,74,181,213],"updated,":[33],"along":[34],"with":[35,139],"encoding/decoding":[36],"processes,":[37],"when":[38],"more":[39],"encoded/decoded":[40],"are":[42,152],"fed":[43],"as":[44,204],"samples":[45,78],"to":[46,88,117,167,175,183,196,208],"performance":[52,101,120,211],"depends":[53],"how":[55],"well":[56],"fits":[60],"symbols.":[65],"If":[66],"number":[68,76,161],"large":[73],"small,":[80],"may":[84],"not":[85],"be":[86],"able":[87],"provide":[89],"valid":[90],"statistics,":[94],"which":[95],"results":[96],"in":[97],"inefficient":[99],"coder.":[106,125,143],"To":[107],"this":[108,110,145,164],"end,":[109],"paper":[111],"presents":[112],"segmentation":[113],"improve":[118],"Each":[126,134],"symbol":[128],"divided":[130],"into":[131],"several":[132],"segments.":[133],"segment":[135,151],"separately":[137],"coded":[138],"With":[144],"division,":[146],"possible":[147],"values":[148],"each":[150],"concentrated":[153],"within":[154],"small":[156],"range.":[157],"Given":[158],"limited":[160],"samples,":[163],"concentration":[165],"leads":[166],"better":[169],"fit":[170],"therefore":[182],"improvement":[185,212],"efficiency.":[189],"proposed":[191],"algorithm":[193],"applied":[195],"lossless":[197],"motion":[198],"vector":[199],"video":[202],"transmission":[203],"application":[206],"example":[207],"show":[209],"its":[210],"gains.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
