{"id":"https://openalex.org/W6888786650","doi":"https://doi.org/10.2312/egwr/egsr05/201-210","title":"Colorization by Example","display_name":"Colorization by Example","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W6888786650","doi":"https://doi.org/10.2312/egwr/egsr05/201-210"},"language":"en","primary_location":{"id":"doi:10.2312/egwr/egsr05/201-210","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egwr/egsr05/201-210","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egwr/egsr05/201-210","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Irony, Revital","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Irony, Revital","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Cohen-Or, Daniel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen-Or, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lischinski, Dani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lischinski, Dani","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7957000136375427},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.722599983215332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5666000247001648},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.519599974155426},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4726000130176544},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4675999879837036},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.461899995803833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.415800005197525}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7957000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7541999816894531},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.722599983215332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5565999746322632},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.519599974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5011000037193298},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4726000130176544},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4675999879837036},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43630000948905945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.415800005197525},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3840000033378601},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.30390000343322754},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.2904999852180481},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.27720001339912415},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.27239999175071716},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/egwr/egsr05/201-210","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egwr/egsr05/201-210","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/egwr/egsr05/201-210","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egwr/egsr05/201-210","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,65],"present":[1],"a":[2,13,21,29,50,83,108,134,141,159,165],"new":[3,30],"method":[4,70],"for":[5,36,91,149],"colorizing":[6],"grayscale":[7,84],"images":[8],"by":[9,46,120],"transferring":[10],"color":[11,61,101,135,154],"from":[12,136],"segmented":[14],"example":[15,95,127],"image.":[16,128,192],"Rather":[17],"than":[18,76],"relying":[19],"on":[20],"series":[22],"of":[23,40,54,123,179,190],"independent":[24],"pixel-level":[25],"decisions,":[26],"we":[27,88],"develop":[28],"strategy":[31],"that":[32,68,113],"attempts":[33],"to":[34,58,86,174],"account":[35],"the":[37,115,126,137,175,186,191],"higher-level":[38],"context":[39],"each":[41,92,130],"pixel.":[42],"The":[43],"colorizations":[44],"generated":[45],"our":[47,69],"approach":[48],"exhibit":[49],"much":[51],"higher":[52],"degree":[53],"spatial":[55,147,151],"consistency,":[56],"compared":[57],"previous":[59,77],"automatic":[60],"transfer":[62],"methods":[63,80],"[WAM02].":[64],"also":[66],"demonstrate":[67],"requires":[71],"considerably":[72],"less":[73],"manual":[74],"effort":[75],"user-assisted":[78],"colorization":[79,177,189],"[LLW04].":[81],"Given":[82],"image":[85],"colorize,":[87],"first":[89],"determine":[90],"pixel":[93,131],"which":[94,184],"segment":[96],"it":[97],"should":[98],"learn":[99],"its":[100],"from.":[102],"This":[103],"is":[104,132,156],"done":[105],"automatically":[106],"using":[107,140],"robust":[109],"supervised":[110],"classification":[111],"scheme":[112],"analyzes":[114],"low-level":[116],"feature":[117],"space":[118],"defined":[119],"small":[121],"neighborhoods":[122],"pixels":[124,163],"in":[125],"Next,":[129],"assigned":[133],"appropriate":[138],"region":[139],"neighborhood":[142],"matching":[143],"metric,":[144],"combined":[145],"with":[146,158,164],"filtering":[148],"improved":[150],"coherence.":[152],"Each":[153],"assignment":[155],"associated":[157],"confidence":[160,168],"value,":[161],"and":[162],"sufficiently":[166],"high":[167],"level":[169],"are":[170],"provided":[171],"as":[172],"\u0093micro-scribbles\u0094":[173],"optimization-based":[176],"algorithm":[178],"Levin":[180],"et":[181],"al.":[182],"[LLW04],":[183],"produces":[185],"final":[187],"complete":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
