{"id":"https://openalex.org/W2896790658","doi":"https://doi.org/10.1109/cec.2018.8477973","title":"On the Use of Colour-Based Segmentation in Evolutionary Image Composition","display_name":"On the Use of Colour-Based Segmentation in Evolutionary Image Composition","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896790658","doi":"https://doi.org/10.1109/cec.2018.8477973","mag":"2896790658"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001757263","display_name":"Aneta Neumann","orcid":"https://orcid.org/0000-0002-0036-4782"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aneta Neumann","raw_affiliation_strings":["Optimisation and Logistics, The University of Adelaide, Adelaide, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089531887","display_name":"Frank Neumann","orcid":"https://orcid.org/0000-0002-2721-3618"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Frank Neumann","raw_affiliation_strings":["Optimisation and Logistics, The University of Adelaide, Adelaide, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Optimisation and Logistics, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9491999745368958,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9179999828338623,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7322022914886475},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7165956497192383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6706386208534241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6544902324676514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6532703638076782},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.616848349571228},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.575539767742157},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5628916025161743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5254320502281189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43981218338012695},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4313175082206726}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7322022914886475},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7165956497192383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6706386208534241},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6544902324676514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6532703638076782},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.616848349571228},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.575539767742157},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5628916025161743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5254320502281189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43981218338012695},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4313175082206726},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2018.8477973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/128476","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/128476","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/xpl/conhome/8466244/proceeding","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W55203977","https://openalex.org/W161717461","https://openalex.org/W195533127","https://openalex.org/W226913955","https://openalex.org/W599224449","https://openalex.org/W649658523","https://openalex.org/W1415442047","https://openalex.org/W1508960934","https://openalex.org/W1523293200","https://openalex.org/W1528908714","https://openalex.org/W1551774182","https://openalex.org/W1567126838","https://openalex.org/W1572267420","https://openalex.org/W1594017582","https://openalex.org/W1606162459","https://openalex.org/W1960351623","https://openalex.org/W1983725795","https://openalex.org/W1986834262","https://openalex.org/W2027922120","https://openalex.org/W2039594484","https://openalex.org/W2048338869","https://openalex.org/W2050462717","https://openalex.org/W2061163476","https://openalex.org/W2073459066","https://openalex.org/W2084134149","https://openalex.org/W2127785681","https://openalex.org/W2141708418","https://openalex.org/W2150593711","https://openalex.org/W2150753219","https://openalex.org/W2245625259","https://openalex.org/W2331128040","https://openalex.org/W2397786702","https://openalex.org/W2493566497","https://openalex.org/W2519454815","https://openalex.org/W2575151422","https://openalex.org/W2600895039","https://openalex.org/W2604517447","https://openalex.org/W2898422183","https://openalex.org/W2963292439","https://openalex.org/W3017143921","https://openalex.org/W3098868075","https://openalex.org/W4245340300","https://openalex.org/W4322588875","https://openalex.org/W6607976765","https://openalex.org/W6631217308","https://openalex.org/W6634183221","https://openalex.org/W6635394403","https://openalex.org/W6660396120","https://openalex.org/W6662753291","https://openalex.org/W6668990524","https://openalex.org/W6682346614","https://openalex.org/W6690756166","https://openalex.org/W6702130928","https://openalex.org/W6712407302","https://openalex.org/W6732310218","https://openalex.org/W6740473505","https://openalex.org/W6755681954"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1],"have":[2],"been":[3],"widely":[4],"used":[5],"in":[6,11,123],"the":[7,21,65,84,92,97,109,145],"area":[8],"of":[9,61,64,83,96,125,144],"creativity":[10],"order":[12],"to":[13,56,76,101,138],"help":[14],"create":[15],"art":[16],"and":[17,99,128],"music.":[18],"We":[19,68],"consider":[20],"recently":[22],"introduced":[23],"evolutionary":[24,50],"image":[25,51],"composition":[26,52],"approach":[27,111,132],"based":[28,43,72,112,133],"on":[29,44,73,113,134],"feature":[30,46,127,140],"covariance":[31],"matrices":[32],"[1]":[33],"which":[34],"allows":[35],"composing":[36],"two":[37,66],"images":[38,98,103,122],"into":[39],"a":[40,58,81],"new":[41],"one":[42],"their":[45],"characteristics.":[47],"When":[48],"using":[49],"it":[53],"is":[54],"important":[55],"obtain":[57],"good":[59],"weighting":[60,82],"interesting":[62],"regions":[63,95],"images.":[67,85],"use":[69],"colour-based":[70,135],"segmentation":[71,136],"K-Means":[74],"clustering":[75],"come":[77],"up":[78],"with":[79],"such":[80],"Our":[86],"results":[87],"show":[88,129],"that":[89,104,130],"this":[90],"preserves":[91],"chosen":[93],"colour":[94],"leads":[100,137],"composed":[102,121],"preserve":[105],"colours":[106],"better":[107],"than":[108],"previous":[110],"saliency":[114],"masks":[115],"[1].":[116],"Furthermore,":[117],"we":[118],"evaluate":[119],"our":[120,131],"terms":[124],"aesthetic":[126],"higher":[139],"values":[141],"for":[142],"most":[143],"investigated":[146],"features.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}