{"id":"https://openalex.org/W2078790656","doi":"https://doi.org/10.1109/icip.2012.6467533","title":"Locally linear embedding based texture synthesis for image prediction and error concealment","display_name":"Locally linear embedding based texture synthesis for image prediction and error concealment","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2078790656","doi":"https://doi.org/10.1109/icip.2012.6467533","mag":"2078790656"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6467533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"preprint","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/A5037151051","display_name":"Mehmet T\u00fcrkan","orcid":"https://orcid.org/0000-0002-9780-9249"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mehmet Turkan","raw_affiliation_strings":["INRIA, Rennes, France","Inria-Rennes, France#TAB#"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Inria-Rennes, France#TAB#","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA, Rennes, France","Inria-Rennes, France#TAB#"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Inria-Rennes, France#TAB#","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037151051"],"corresponding_institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":1.10607991,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80273083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"290","issue":null,"first_page":"3009","last_page":"3012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.998199999332428,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.972599983215332,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9575999975204468,"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/texture-synthesis","display_name":"Texture synthesis","score":0.7817612886428833},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6596679091453552},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.647891104221344},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5930296182632446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5554448962211609},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5016427040100098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48831602931022644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4869445562362671},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4713570475578308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4591173529624939},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4247034788131714},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.41618919372558594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4068104326725006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38815024495124817},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22480610013008118}],"concepts":[{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.7817612886428833},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6596679091453552},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.647891104221344},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5930296182632446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5554448962211609},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5016427040100098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48831602931022644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4869445562362671},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4713570475578308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4591173529624939},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4247034788131714},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.41618919372558594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4068104326725006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38815024495124817},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22480610013008118},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/icip.2012.6467533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image 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":15,"referenced_works":["https://openalex.org/W2000094687","https://openalex.org/W2018551841","https://openalex.org/W2031832209","https://openalex.org/W2053186076","https://openalex.org/W2068623560","https://openalex.org/W2093212899","https://openalex.org/W2105038642","https://openalex.org/W2107207662","https://openalex.org/W2109839336","https://openalex.org/W2116013899","https://openalex.org/W2120001410","https://openalex.org/W2156235915","https://openalex.org/W2165736859","https://openalex.org/W2232702494","https://openalex.org/W2536599074"],"related_works":["https://openalex.org/W2183887509","https://openalex.org/W2147616632","https://openalex.org/W1983661653","https://openalex.org/W2743128629","https://openalex.org/W2972612618","https://openalex.org/W2355987747","https://openalex.org/W2905174049","https://openalex.org/W4200432310","https://openalex.org/W2156235915","https://openalex.org/W2001142118"],"abstract_inverted_index":{"The":[0,128],"template":[1,14,29,57],"matching":[2,15],"algorithm":[3],"is":[4],"a":[5,91,103,121,150],"simple":[6,56],"extension":[7],"to":[8,28,42,49,55,64,137,149],"exemplar-based":[9],"texture":[10,37,95,130],"synthesis.":[11],"Average":[12],"of":[13,162],"predictors":[16],"or":[17],"non-local":[18],"means":[19],"based":[20,94],"approaches":[21],"can":[22],"be":[23,43],"seen":[24],"as":[25,102],"heuristic":[26,80],"extensions":[27],"matching.":[30,58],"These":[31],"methods":[32,81],"which":[33],"linearly":[34],"combine":[35],"several":[36],"patches":[38],"have":[39],"been":[40,135,147],"shown":[41],"more":[44],"robust":[45],"in":[46,74],"synthesis":[47,96,131],"and":[48,170],"give":[50],"better":[51],"results":[52,158],"when":[53],"compared":[54],"However,":[59],"they":[60],"do":[61],"not":[62],"search":[63],"minimize":[65],"an":[66],"approximation":[67],"error":[68,171],"on":[69],"the":[70,75,84,100,115,126,138,160,163],"known":[71],"pixel":[72],"values":[73],"template.":[76,127],"They":[77],"are":[78],"rather":[79],"for":[82,124,154,166],"calculating":[83],"linear":[85,108,116],"weighting":[86,117],"coefficients.":[87],"This":[88],"paper":[89],"proposes":[90],"neighbor":[92],"embedding":[93],"method":[97,165],"by":[98,119],"formulating":[99],"problem":[101],"least-squares":[104],"optimization":[105,123],"using":[106],"locally":[107],"embedding.":[109],"By":[110],"this":[111],"means,":[112],"one":[113],"calculates":[114],"coefficients":[118],"solving":[120],"constrained":[122],"approximating":[125],"proposed":[129,164],"framework":[132],"has":[133,145],"first":[134],"applied":[136],"image":[139,168],"prediction":[140],"(predictive":[141],"coding)":[142],"problem.":[143],"It":[144],"then":[146],"extended":[148],"loss":[151],"concealment":[152],"application":[153],"transmission":[155],"errors.":[156],"Experimental":[157],"demonstrate":[159],"effectiveness":[161],"both":[167],"compression":[169],"concealment.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
