{"id":"https://openalex.org/W2028281853","doi":"https://doi.org/10.1155/2007/24863","title":"Multiple Description Coding with Redundant Expansions and Application to Image Communications","display_name":"Multiple Description Coding with Redundant Expansions and Application to Image Communications","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2028281853","doi":"https://doi.org/10.1155/2007/24863","mag":"2028281853"},"language":"en","primary_location":{"id":"doi:10.1155/2007/24863","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/24863","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/2007/24863","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082545892","display_name":"Ivana Radulovic","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Ivana Radulovic","raw_affiliation_strings":["LTS4, Swiss Federal Institute of Technology (EPFL), Signal Processing Institute, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTS4, Swiss Federal Institute of Technology (EPFL), Signal Processing Institute, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000947076","display_name":"Pascal Frossard","orcid":"https://orcid.org/0000-0002-4010-714X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pascal Frossard","raw_affiliation_strings":["LTS4, Swiss Federal Institute of Technology (EPFL), Signal Processing Institute, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTS4, Swiss Federal Institute of Technology (EPFL), Signal Processing Institute, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082545892"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":2.632,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9011871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"2007","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9972000122070312,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9961000084877014,"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/biometrics","display_name":"Biometrics","score":0.756084680557251},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5810518860816956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.571763813495636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47569119930267334},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4402727782726288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37437939643859863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23567602038383484},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15426906943321228}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.756084680557251},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5810518860816956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.571763813495636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47569119930267334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4402727782726288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37437939643859863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23567602038383484},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15426906943321228}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2007/24863","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/24863","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.135.5699","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.5699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lts4www.epfl.ch/~frossard/publications/pdfs/ijivp06.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c8be0ba227b64d84bb61a1c9d59c69f1","is_oa":true,"landing_page_url":"https://doaj.org/article/c8be0ba227b64d84bb61a1c9d59c69f1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2007 (2007)","raw_type":"article"},{"id":"pmh:oai:infoscience.epfl.ch:100925","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/100925","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2007/24863","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/24863","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4521371743","display_name":"Pervasive Rich Media Delivery","funder_award_id":"68737","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G6857679220","display_name":null,"funder_award_id":"PP-002-68737","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W20707272","https://openalex.org/W186207466","https://openalex.org/W193375749","https://openalex.org/W1571977268","https://openalex.org/W1577095873","https://openalex.org/W1578442476","https://openalex.org/W1966245736","https://openalex.org/W1986931325","https://openalex.org/W2021302824","https://openalex.org/W2062024414","https://openalex.org/W2065968429","https://openalex.org/W2074465977","https://openalex.org/W2088433481","https://openalex.org/W2096102601","https://openalex.org/W2097728173","https://openalex.org/W2098528272","https://openalex.org/W2098818601","https://openalex.org/W2099600122","https://openalex.org/W2100224231","https://openalex.org/W2111408110","https://openalex.org/W2115755118","https://openalex.org/W2124700794","https://openalex.org/W2128340084","https://openalex.org/W2134638697","https://openalex.org/W2136098605","https://openalex.org/W2136969280","https://openalex.org/W2137277750","https://openalex.org/W2138203215","https://openalex.org/W2139640896","https://openalex.org/W2143467619","https://openalex.org/W2151693816","https://openalex.org/W2152611675","https://openalex.org/W2156447271","https://openalex.org/W2162353388","https://openalex.org/W4245314356","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"Multiple":[0],"description":[1,177],"coding":[2,29,178],"offers":[3,56],"an":[4,80],"elegant":[5],"and":[6,107,182,197],"competitive":[7],"solution":[8],"for":[9,40,132],"data":[10],"transmission":[11],"over":[12],"lossy":[13],"packet-based":[14],"networks,":[15],"with":[16],"a":[17,36,53,71,129,133],"graceful":[18],"degradation":[19],"in":[20,59,93,139,145,193],"quality":[21],"as":[22],"losses":[23],"increase.":[24],"In":[25,63],"the":[26,41,94,100,105,113,121,146,153,160,175],"same":[27,147,161],"time,":[28,148],"techniques":[30],"based":[31],"on":[32],"redundant":[33,73],"transforms":[34],"give":[35],"very":[37],"promising":[38],"alternative":[39],"generation":[42],"of":[43,61,70,83,179,195],"multiple":[44,84,176],"descriptions,":[45,111],"mainly":[46],"due":[47],"to":[48,78,109,125,165,174,189,199],"redundancy":[49],"inherently":[50],"given":[51],"by":[52],"transform,":[54],"which":[55],"intrinsic":[57],"resiliency":[58],"case":[60],"loss.":[62],"this":[64],"paper,":[65],"we":[66],"show":[67,185],"how":[68],"partitioning":[69],"generic":[72],"dictionary":[74],"can":[75],"be":[76,166],"used":[77],"obtain":[79],"arbitrary":[81],"number":[82],"complementary,":[85],"yet":[86],"correlated,":[87],"descriptions.":[88,122],"The":[89,169],"most":[90],"significant":[91],"terms":[92,194],"signal":[95],"representation":[96],"are":[97,117,142,163],"drawn":[98],"from":[99,159],"partitions":[101],"that":[102],"better":[103,134],"approximate":[104],"signal,":[106],"split":[108],"different":[110,140],"while":[112],"less":[114],"important":[115],"ones":[116],"alternatively":[118],"distributed":[119],"between":[120],"As":[123],"compared":[124,188],"state-of-the-art":[126,190],"solutions,":[127],"such":[128],"strategy":[130],"allows":[131],"central":[135],"distortion":[136],"since":[137,157],"atoms":[138,158],"descriptions":[141],"not":[143,151],"identical;":[144],"it":[149],"does":[150],"penalize":[152],"side":[154],"distortions":[155,196],"significantly":[156],"partition":[162],"likely":[164],"highly":[167],"correlated.":[168],"proposed":[170],"scheme":[171],"is":[172],"applied":[173],"digital":[180],"images,":[181],"simulation":[183],"results":[184],"increased":[186],"performances":[187],"schemes,":[191],"both":[192],"robustness":[198],"loss":[200],"rate":[201],"variations.":[202]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}