{"id":"https://openalex.org/W2212198421","doi":"https://doi.org/10.1109/ipta.2015.7367210","title":"Hue class equalization to improve a hierarchical image retrieval system","display_name":"Hue class equalization to improve a hierarchical image retrieval system","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2212198421","doi":"https://doi.org/10.1109/ipta.2015.7367210","mag":"2212198421"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2015.7367210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01273971","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084322221","display_name":"Tristan D'Anzi","orcid":null},"institutions":[{"id":"https://openalex.org/I2802056588","display_name":"COMUE Languedoc-Roussillon Universit\u00e9s","ror":"https://ror.org/04f6hmf16","country_code":"FR","type":"other","lineage":["https://openalex.org/I2802056588"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tristan D'Anzi","raw_affiliation_strings":["Communaute d'Universites et Etablissements Languedoc-Roussillon Universites, Montpellier, Languedoc-Roussillon, FR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communaute d'Universites et Etablissements Languedoc-Roussillon Universites, Montpellier, Languedoc-Roussillon, FR","institution_ids":["https://openalex.org/I2802056588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067164546","display_name":"William Puech","orcid":"https://orcid.org/0000-0001-9383-2401"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"William Puech","raw_affiliation_strings":["LIRMM, University of Montpellier, Montpellier, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105775630","display_name":"Christophe Fiorio","orcid":null},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Fiorio","raw_affiliation_strings":["LIRMM, University of Montpellier, Montpellier, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108998772","display_name":"J\u00e9r\u00e9mie Fran\u00e7ois","orcid":"https://orcid.org/0000-0002-6152-7485"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeremie Francois","raw_affiliation_strings":["PIC SIDE Company, Montpellier, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PIC SIDE Company, Montpellier, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11029074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"561","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.7592597603797913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6941042542457581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707287430763245},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5954948663711548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5175253748893738},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5090627074241638},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5031561255455017},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4663032591342926},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4460410475730896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40134865045547485}],"concepts":[{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.7592597603797913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6941042542457581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707287430763245},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5954948663711548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5175253748893738},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5090627074241638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5031561255455017},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4663032591342926},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4460410475730896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40134865045547485}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipta.2015.7367210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:lirmm-01273971v1","is_oa":true,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01273971","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7360262","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:lirmm-01273971v1","is_oa":true,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01273971","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7360262","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2080955644","https://openalex.org/W2094772000","https://openalex.org/W2096077837","https://openalex.org/W2119605622","https://openalex.org/W2132234208","https://openalex.org/W2151103935","https://openalex.org/W2181583562","https://openalex.org/W3110683067","https://openalex.org/W4285719527","https://openalex.org/W6686114066","https://openalex.org/W6786768871"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2972873516","https://openalex.org/W2405125474","https://openalex.org/W2074864407","https://openalex.org/W2364223252","https://openalex.org/W1989502759","https://openalex.org/W2363908918","https://openalex.org/W2153132133"],"abstract_inverted_index":{"This":[0,33],"paper":[1],"proposes":[2],"a":[3,7,28,37,63,76,82,108],"filtering":[4,120],"system":[5],"within":[6],"large":[8],"database":[9,23],"in":[10,24],"order":[11,25],"to":[12,21,26,100,106,117],"accelerate":[13],"image":[14,115],"retrieval.":[15],"A":[16,124],"first":[17],"filter":[18,34],"is":[19,60,85,98],"applied":[20],"the":[22,46,53,58,69,113,122,137],"have":[27,107,118],"small":[29],"number":[30],"of":[31,36,45,48,66,95,121],"candidates.":[32,123],"consists":[35],"global":[38,83],"descriptor":[39,84],"based":[40,51,61,87],"on":[41,52,62,88],"color":[42],"classification.":[43],"Instead":[44],"use":[47],"static":[49],"classification":[50,59,81],"HVS":[54],"(Human":[55],"Visual":[56],"System),":[57],"uniform":[64],"repartition":[65],"pixels":[67],"from":[68,75],"database.":[70,78],"Those":[71],"classes":[72],"are":[73],"gathered":[74],"learning":[77],"With":[79],"this":[80,103],"computed":[86],"hue,":[89],"saturation":[90],"and":[91,116,127],"lightness.":[92],"An":[93],"equiprobability":[94],"each":[96,101],"pixel":[97],"assigned":[99],"class,":[102],"allows":[104],"us":[105],"more":[109,125],"constant":[110],"reduction":[111],"for":[112,135],"requested":[114],"better":[119],"powerful":[126],"time":[128],"consuming":[129],"method":[130],"can":[131],"be":[132],"used":[133],"then":[134],"identifying":[136],"best":[138],"candidate.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
