{"id":"https://openalex.org/W2748430604","doi":"https://doi.org/10.4018/ijcvip.2017070102","title":"Growing Neural Forest-Based Color Quantization Applied to RGB Images","display_name":"Growing Neural Forest-Based Color Quantization Applied to RGB Images","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2748430604","doi":"https://doi.org/10.4018/ijcvip.2017070102","mag":"2748430604"},"language":"en","primary_location":{"id":"doi:10.4018/ijcvip.2017070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2017070102","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-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/A5089321577","display_name":"Jes\u00fas Benito-Picazo","orcid":"https://orcid.org/0000-0001-9015-5804"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jes\u00fas Benito-Picazo","raw_affiliation_strings":["Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091243468","display_name":"Ezequiel L\u00f3pez\u2010Rubio","orcid":"https://orcid.org/0000-0001-8231-5687"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ezequiel L\u00f3pez-Rubio","raw_affiliation_strings":["Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079803939","display_name":"Enrique Dom\u00ednguez","orcid":"https://orcid.org/0000-0002-2232-4562"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Dom\u00ednguez","raw_affiliation_strings":["Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82767444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11939884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"3","first_page":"13","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.7040235996246338},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.6243566274642944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241140961647034},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5909783840179443},{"id":"https://openalex.org/keywords/neural-gas","display_name":"Neural gas","score":0.5185673832893372},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5080294609069824},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5005083084106445},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.49097874760627747},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.38704103231430054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3670670986175537},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.310467928647995},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28055787086486816},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.12591999769210815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040235996246338},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.6243566274642944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241140961647034},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5909783840179443},{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.5185673832893372},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5080294609069824},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5005083084106445},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.49097874760627747},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.38704103231430054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3670670986175537},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.310467928647995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28055787086486816},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.12591999769210815}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijcvip.2017070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2017070102","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1965680834","https://openalex.org/W1990517717","https://openalex.org/W2011133372","https://openalex.org/W2042351579","https://openalex.org/W2059777573","https://openalex.org/W2073450888","https://openalex.org/W2079810998","https://openalex.org/W2083812485","https://openalex.org/W2107585633","https://openalex.org/W2108901453","https://openalex.org/W2113076747","https://openalex.org/W2115581864","https://openalex.org/W2122473047","https://openalex.org/W2133671888","https://openalex.org/W2134383396","https://openalex.org/W2138754805","https://openalex.org/W2163280893","https://openalex.org/W2188677254","https://openalex.org/W2326819652","https://openalex.org/W2601919656","https://openalex.org/W3022351671","https://openalex.org/W4214871172"],"related_works":["https://openalex.org/W2087087326","https://openalex.org/W2078566741","https://openalex.org/W2809734899","https://openalex.org/W2358960846","https://openalex.org/W1964581525","https://openalex.org/W2139870842","https://openalex.org/W1044153278","https://openalex.org/W3133138837","https://openalex.org/W3035384921","https://openalex.org/W2216907995"],"abstract_inverted_index":{"Although":[0],"last":[1],"improvements":[2],"in":[3],"both":[4],"physical":[5],"storage":[6],"technologies":[7],"and":[8,31,64,80,144,152],"image":[9,14,33,56,132],"handling":[10],"techniques":[11],"have":[12,70],"eased":[13],"managing":[15],"processes,":[16],"the":[17,42,99,127],"large":[18],"amount":[19],"of":[20,49,115,120,129],"information":[21],"handled":[22],"nowadays":[23],"constantly":[24],"demands":[25],"more":[26,65,150],"efficient":[27],"ways":[28],"to":[29,92,156],"store":[30],"transmit":[32],"data":[34],"streams.":[35],"Among":[36],"other":[37,138],"alternatives":[38],"for":[39,52,77,82,131],"such":[40],"purpose,":[41],"authors":[43],"find":[44],"color":[45,50,83,93],"quantization,":[46],"which":[47,104],"consists":[48],"indexing":[51],"minimal":[53],"perceptual":[54],"distortion":[55],"compression.":[57],"In":[58,86],"this":[59,87],"context,":[60],"artificial":[61],"intelligence-based":[62],"algorithms":[63],"specifically,":[66],"Artificial":[67],"Neural":[68,101,108],"Networks,":[69],"been":[71],"consolidated":[72],"as":[73],"a":[74,89,106,113,121],"powerful":[75],"tool":[76],"unsupervised":[78],"tasks,":[79],"therefore,":[81],"quantization":[84,94,133],"purposes.":[85],"work,":[88],"novel":[90],"approach":[91],"is":[95,105,117],"presented":[96],"based":[97],"on":[98],"Growing":[100,107],"Forest":[102],"(GNF),":[103],"Gas":[109],"(GNG)":[110],"variation":[111],"where":[112,135],"set":[114],"trees":[116],"learnt":[118],"instead":[119],"general":[122],"graph.":[123],"Experimental":[124],"results":[125],"support":[126],"use":[128],"GNF":[130],"tasks":[134],"it":[136],"overcomes":[137],"self-organized":[139],"models":[140,155],"including":[141],"SOM,":[142],"GHSOM":[143],"GNG.":[145],"Future":[146],"work":[147],"will":[148],"include":[149],"datasets":[151],"different":[153],"competitive":[154],"compare":[157],"to.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
