{"id":"https://openalex.org/W1786377235","doi":"https://doi.org/10.1109/dcc.2003.1194001","title":"Robust predictive coding and the Wyner-Ziv problem","display_name":"Robust predictive coding and the Wyner-Ziv problem","publication_year":2003,"publication_date":"2003-10-31","ids":{"openalex":"https://openalex.org/W1786377235","doi":"https://doi.org/10.1109/dcc.2003.1194001","mag":"1786377235"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.2003.1194001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2003.1194001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2003. Proceedings. DCC 2003","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/A5044422209","display_name":"A. Sehgal","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Sehgal","raw_affiliation_strings":["Beckman Institute, University of Illinois, Urbana-Champaign, IL, USA","Beckman Inst., Illinois Univ., Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Beckman Inst., Illinois Univ., Urbana, IL, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108521995","display_name":"Narendra Ahuja","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Ahuja","raw_affiliation_strings":["Beckman Institute, University of Illinois, Urbana-Champaign, IL, USA","Beckman Inst., Illinois Univ., Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Beckman Inst., Illinois Univ., Urbana, IL, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044422209"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":5.9113,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96269495,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/codec","display_name":"Codec","score":0.7992041707038879},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7970635890960693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7879896759986877},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6286342740058899},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5741539001464844},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5471493601799011},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.4566284120082855},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44309771060943604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16228821873664856},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.12200871109962463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1165943443775177}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.7992041707038879},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7970635890960693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879896759986877},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6286342740058899},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5741539001464844},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5471493601799011},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.4566284120082855},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44309771060943604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16228821873664856},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.12200871109962463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1165943443775177},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.2003.1194001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2003.1194001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2003. Proceedings. DCC 2003","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":12,"referenced_works":["https://openalex.org/W1691989303","https://openalex.org/W1868552688","https://openalex.org/W1918846470","https://openalex.org/W1939981841","https://openalex.org/W2096633333","https://openalex.org/W2130947208","https://openalex.org/W2142521365","https://openalex.org/W2146963604","https://openalex.org/W2150412388","https://openalex.org/W2164940804","https://openalex.org/W2166168490","https://openalex.org/W6640533293"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W2126742497","https://openalex.org/W2221419418","https://openalex.org/W2114474691","https://openalex.org/W1508050556","https://openalex.org/W2535923291","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W4283822356"],"abstract_inverted_index":{"The":[0,139],"problem":[1,18],"of":[2,5,19,30,41,59,68,82,86,114,124,133,141,151],"robust":[3],"communication":[4],"predictive":[6,20,69],"encoded":[7,63],"video":[8,46,53,64],"in":[9,61,65,96,111],"a":[10,25,39],"joint":[11],"source-channel":[12],"setting":[13],"is":[14,24,36,79,90,93,128,137],"addressed.":[15],"Specifically,":[16],"the":[17,28,31,34,42,51,57,66,74,77,83,87,99,112,122,125,131,134,142,149],"mismatch,":[21],"where":[22],"there":[23,92],"drift":[26],"between":[27,73],"state":[29],"encoder":[32,75,102],"and":[33,76,130],"decoder":[35],"addressed":[37],"as":[38,119],"variant":[40],"Wyner-Ziv":[43],"problem.":[44],"A":[45],"encoding":[47],"algorithm":[48],"based":[49],"on":[50],"H.26L":[52,101],"codec,":[54],"which":[55],"presents":[56],"propagation":[58],"error":[60,109],"predictively":[62],"event":[67,113],"mismatch":[70],"(or":[71],"drift)":[72],"decoder,":[78],"proposed.":[80],"One":[81],"main":[84],"advantages":[85],"proposed":[88,126,135,143],"approach":[89,144],"that":[91],"minimal":[94],"loss":[95],"performance":[97,123,140],"over":[98],"standard":[100],"during":[103],"error-free":[104],"transmission,":[105],"while":[106],"simultaneously":[107],"allowing":[108],"recovery":[110],"errors.":[115],"Using":[116],"turbo":[117],"codes":[118],"coset":[120,153],"codes,":[121],"codec":[127],"evaluated":[129],"efficacy":[132],"framework":[136],"demonstrated.":[138],"can":[145],"only":[146],"improve":[147],"with":[148],"use":[150],"superior":[152],"codes.":[154]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}