{"id":"https://openalex.org/W1965735641","doi":"https://doi.org/10.1109/icdar.2007.4377001","title":"Matching Local Descriptors for Image Identification on Cultural Databases","display_name":"Matching Local Descriptors for Image Identification on Cultural Databases","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W1965735641","doi":"https://doi.org/10.1109/icdar.2007.4377001","mag":"1965735641"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4377001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377001","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","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/A5051880838","display_name":"Eduardo Valle","orcid":"https://orcid.org/0000-0001-5396-9868"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Valle","raw_affiliation_strings":["\u00c9quipes Traitement des Images et du Signal, ETIS UMR CNRS, France","Univ. Pierre et Marie Curie, Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9quipes Traitement des Images et du Signal, ETIS UMR CNRS, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210105651","https://openalex.org/I4210148552"]},{"raw_affiliation_string":"Univ. Pierre et Marie Curie, Paris","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108118084","display_name":"Matthieu Cord","orcid":"https://orcid.org/0000-0002-0627-5844"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Cord","raw_affiliation_strings":["Laboratoire d'Informatique de Paris6, Universit\u00e9 Pierre et Marie Curie, France","Universite Pierre et Marie Curie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de Paris6, Universit\u00e9 Pierre et Marie Curie, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Universite Pierre et Marie Curie","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074950150","display_name":"Sylvie Philipp\u2010Foliguet","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Philipp-Foliguet","raw_affiliation_strings":["\u00c9quipes Traitement des Images et du Signal, ETIS UMR CNRS, France","ETIS UMR CNRS#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9quipes Traitement des Images et du Signal, ETIS UMR CNRS, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210105651","https://openalex.org/I4210148552"]},{"raw_affiliation_string":"ETIS UMR CNRS#TAB#","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210148552"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.06420881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"679","last_page":"683"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9914000034332275,"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/matching","display_name":"Matching (statistics)","score":0.754733681678772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114328145980835},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6861798763275146},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6654451489448547},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6602966785430908},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5948307514190674},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49968409538269043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49018150568008423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48834607005119324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48167169094085693},{"id":"https://openalex.org/keywords/k-d-tree","display_name":"k-d tree","score":0.42371299862861633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37120163440704346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21316149830818176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18005061149597168},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1000206470489502},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.08481153845787048},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0756426453590393},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05822935700416565}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.754733681678772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114328145980835},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6861798763275146},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6654451489448547},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6602966785430908},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5948307514190674},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49968409538269043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49018150568008423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48834607005119324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48167169094085693},{"id":"https://openalex.org/C33721204","wikidata":"https://www.wikidata.org/wiki/Q309949","display_name":"k-d tree","level":3,"score":0.42371299862861633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37120163440704346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21316149830818176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18005061149597168},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1000206470489502},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.08481153845787048},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0756426453590393},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05822935700416565},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdar.2007.4377001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377001","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01336102v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01336102","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), Sep 2007, Curitiba, Brazil. pp.679-683, &#x27E8;10.1109/ICDAR.2007.4377001&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1576360991","https://openalex.org/W1578013635","https://openalex.org/W1967863773","https://openalex.org/W2024668293","https://openalex.org/W2096077837","https://openalex.org/W2103116581","https://openalex.org/W2128997576","https://openalex.org/W2151103935","https://openalex.org/W4237171445","https://openalex.org/W6634370131"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W3125889879","https://openalex.org/W3124422538","https://openalex.org/W3094976685","https://openalex.org/W1770616178","https://openalex.org/W3127410434","https://openalex.org/W2107401307","https://openalex.org/W4390577842"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,30],"present":[4],"a":[5,19,76],"new":[6,27],"method":[7,21,66],"for":[8,22,58,73],"high-":[9],"dimensional":[10],"descriptor":[11],"matching,":[12],"based":[13],"on":[14],"the":[15,35,40,46,59,68,83],"KD-tree,":[16],"which":[17,29,78],"is":[18,56],"classic":[20],"nearest":[23],"neighbours":[24],"search.":[25],"This":[26],"method,":[28],"name":[31],"3-way":[32],"tree,":[33],"avoids":[34],"boundary":[36],"effects":[37],"that":[38],"disrupt":[39],"KD-tree":[41],"in":[42,67],"higher":[43],"dimensionalities,":[44],"by":[45],"addition":[47],"of":[48,70,85,93],"redundant,":[49],"overlapping":[50],"sub-trees.":[51],"That":[52],"way,":[53],"more":[54],"precision":[55],"obtained":[57],"same":[60],"querying":[61],"times.":[62],"We":[63],"evaluate":[64],"our":[65],"context":[69],"image":[71],"identification":[72],"cultural":[74],"collections,":[75],"task":[77],"can":[79],"greatly":[80],"benefit":[81],"from":[82],"use":[84],"high-dimensional":[86],"local":[87],"descriptors":[88],"computed":[89],"around":[90],"Pol":[91],"(Points":[92],"Interest).":[94]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
