{"id":"https://openalex.org/W2167303356","doi":"https://doi.org/10.1109/tit.2013.2296523","title":"On the Information Theoretic Performance Comparison of Causal Video Coding and Predictive Video Coding","display_name":"On the Information Theoretic Performance Comparison of Causal Video Coding and Predictive Video Coding","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2167303356","doi":"https://doi.org/10.1109/tit.2013.2296523","mag":"2167303356"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2013.2296523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2296523","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","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/A5080794633","display_name":"En\u2010hui Yang","orcid":"https://orcid.org/0000-0003-1504-7584"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"En-Hui Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052137404","display_name":"Lin Zheng","orcid":"https://orcid.org/0000-0003-0351-4827"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lin Zheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245943","display_name":"Dake He","orcid":"https://orcid.org/0009-0005-9034-1187"},"institutions":[{"id":"https://openalex.org/I4210139826","display_name":"Blackberry (Canada)","ror":"https://ror.org/03mmk1j33","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210139826"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Da-Ke He","raw_affiliation_strings":["BlackBerry, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"BlackBerry, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I4210139826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080794633"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59438657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"60","issue":"3","first_page":"1428","last_page":"1446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9926000237464905,"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/encoder","display_name":"Encoder","score":0.660711944103241},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6544160842895508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881859064102173},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.43241119384765625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3686995506286621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33145928382873535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2036990225315094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12909844517707825},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09600570797920227}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.660711944103241},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6544160842895508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881859064102173},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43241119384765625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3686995506286621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33145928382873535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2036990225315094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12909844517707825},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09600570797920227},{"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/tit.2013.2296523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2296523","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W607870208","https://openalex.org/W1990992471","https://openalex.org/W2041275211","https://openalex.org/W2044655549","https://openalex.org/W2051655994","https://openalex.org/W2063002186","https://openalex.org/W2087276028","https://openalex.org/W2099242767","https://openalex.org/W2103422876","https://openalex.org/W2106219841","https://openalex.org/W2114798828","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2159648095","https://openalex.org/W2165465222","https://openalex.org/W2169249327","https://openalex.org/W2478708596","https://openalex.org/W2488097972","https://openalex.org/W3193262203","https://openalex.org/W4249667877","https://openalex.org/W6672430161","https://openalex.org/W6799352683"],"related_works":["https://openalex.org/W2374658657","https://openalex.org/W2333698505","https://openalex.org/W2893337696","https://openalex.org/W2151453963","https://openalex.org/W2170630590","https://openalex.org/W2388810415","https://openalex.org/W2348652050","https://openalex.org/W2015942816","https://openalex.org/W2013837443","https://openalex.org/W2587249602"],"abstract_inverted_index":{"Causal":[0],"video":[1,8,85,91,98,118,124,201,204],"coding":[2,5,86,99,119,125,202],"is":[3,72,87,253,289,360,443,520],"a":[4,28,141,187,299,327,378,416],"paradigm":[6],"where":[7,62,274],"source":[9,40,142,392,425],"frames":[10,41,426],"X":[11,16,21,68,135,143,229,234,317,322,366,371,398,404,409],"<sub":[12,17,22,69,136,144,148,152,161,165,169,174,192,196,213,218,230,235,241,245,249,267,276,280,284,318,323,334,338,342,346,350,354,367,372,394,399,405,410,430,434,439,448,452,457,470,474,479,485,489,494,505,509,514],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[13,18,23,70,137,145,149,153,156,162,166,170,175,193,197,214,219,231,236,242,246,250,268,277,281,285,319,324,335,339,343,347,351,355,368,373,395,400,406,411,431,435,440,449,453,458,471,475,480,486,490,495,506,510,515],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[14,194,232,247,282,320,340,352,369,396,407,436,454,476,491,511],",":[15,233],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[19,237],",...,":[20,238,321,370,397,408,437,455,477,492,512],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</sub>":[24,171,198,220,251,286,325,344,356,374,401,412,441,459,481,496,516],"are":[25,104],"encoded":[26,45,56,82],"in":[27,199,363,461],"frame-by-frame":[29],"manner,":[30],"the":[31,48,59,63,112,180,256,259,292,310,500],"encoder":[32,64],"for":[33,65,222,386],"each":[34,66,133],"frame":[35,67,134],"can":[36,51],"use":[37,52],"all":[38,43,54,80,94,272],"previous":[39,44,55,81],"and":[42,47,96,225,313,388,427],"frames,":[46,83],"corresponding":[49],"decoder":[50],"only":[53,78],"frames.":[57],"In":[58,107],"special":[60],"case":[61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k</sub>":[71,138,146,150],"further":[73],"restricted":[74],"to":[75,89,185,255,467],"enlist":[76],"help":[77],"from":[79,126],"causal":[84,117,200],"reduced":[88],"predictive":[90,123],"coding,":[92,205],"which":[93],"MPEG-series":[95],"H-series":[97],"standards":[100],"proposed":[101],"so":[102],"far":[103],"based":[105],"upon.":[106],"this":[108,359],"paper,":[109],"we":[110,331,383],"compare":[111,468],"rate":[113,183,263],"distortion":[114,189,264],"performance":[115],"of":[116,122,258,294,301,503],"with":[120,483],"that":[121,210,308,385],"an":[127,295],"information":[128,296],"theoretic":[129],"perspective":[130],"by":[131,291],"modeling":[132],"itself":[139,288],"as":[140],"={X":[147],"(i)}":[151],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i=1</sub>":[154],"<sup":[155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</sup>":[157],".":[158],"Let":[159],"R":[160,212,240,266,275,333,429,447,469,484,504],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</sub>":[163,215,348,432,487],"*(D":[164,244,337,349,433,451,473,488,508],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1,</sub>":[167],"...,D":[168],")":[172,252,287,442,460,482,497],"(R":[173],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[176,243,336,450,472,507],"*(D1,...,DN),":[177],"respectively)":[178],"denote":[179],"minimum":[181,293],"total":[182,262],"required":[184],"achieve":[186],"given":[188,290],"level":[190],"D":[191,217,438,456,478,493,513],",...,D":[195,248,283,341,353],"(predictive":[203],"respectively).":[206],"We":[207,305],"first":[208],"show":[209],"like":[211],"*(D1,...,":[216],"),":[221,402,517],"jointly":[223,311],"stationary":[224,312],"totally":[226,314],"ergodic":[227,315],"sources":[228,316],"XN,":[239],"equal":[254],"infimum":[257],"nth":[260],"order":[261],"function":[265],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p,n</sub>":[269,278],"(D1,...,DN)":[270],"over":[271,298],"n,":[273],"(D":[279],"quantity":[297],"set":[300],"auxiliary":[302],"random":[303],"variables.":[304],"then":[306,420],"prove":[307],"if":[309,365,403,518],"form":[326,377,415],"(first-order)":[328,379,417],"Markov":[329,380,418],"chain,":[330,419],"have":[332],")=R":[345],").":[357],"However,":[358],"not":[361,376,414],"true":[362],"general":[364],"do":[375,413],"chain.":[381],"Specifically,":[382],"demonstrate":[384],"independent":[387],"identically":[389],"distributed":[390],"vector":[391],"(X":[393],"under":[421],"some":[422],"conditions":[423],"on":[424],"distortion,":[428],"strictly":[444],"less":[445],"than":[446],"general.":[462],"Our":[463],"techniques":[464],"allow":[465],"us":[466],"even":[498],"when":[499],"single-letter":[501],"characterization":[502],"any,":[519],"unknown.":[521]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
