{"id":"https://openalex.org/W6926525208","doi":"https://doi.org/10.24348/sdnri.2016.cifed-26","title":"Time-efficient Logo Spotting using Text/Non-text Separation as Preprocessing and Approximate Nearest Neighbor Search.","display_name":"Time-efficient Logo Spotting using Text/Non-text Separation as Preprocessing and Approximate Nearest Neighbor Search.","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W6926525208","doi":"https://doi.org/10.24348/sdnri.2016.cifed-26"},"language":"fr","primary_location":{"id":"doi:10.24348/sdnri.2016.cifed-26","is_oa":true,"landing_page_url":"https://doi.org/10.24348/sdnri.2016.cifed-26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051734","display_name":"Association en Recherche d\u2019Information et Applications","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-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.24348/sdnri.2016.cifed-26","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Phuong Le, Viet","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Phuong Le, Viet","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Nayef, Nibal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nayef, Nibal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Visani, Muriel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Visani, Muriel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ogier, Jean-Marc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ogier, Jean-Marc","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Tran, Cao De","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tran, Cao De","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"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":0.50194237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.3122999966144562,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.3122999966144562,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11675","display_name":"Open Source Software Innovations","score":0.1177000030875206,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T14427","display_name":"Environmental Monitoring and Data Management","score":0.03240000084042549,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/firth","display_name":"Firth","score":0.2989000082015991},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.2053000032901764},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.18790000677108765},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.18289999663829803}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.6072999835014343},{"id":"https://openalex.org/C2778371416","wikidata":"https://www.wikidata.org/wiki/Q558116","display_name":"Firth","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.25679999589920044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.241799995303154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24169999361038208},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.2053000032901764},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.18790000677108765},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.18289999663829803},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.1826999932527542}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24348/sdnri.2016.cifed-26","is_oa":true,"landing_page_url":"https://doi.org/10.24348/sdnri.2016.cifed-26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051734","display_name":"Association en Recherche d\u2019Information et Applications","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-journal"}],"best_oa_location":{"id":"doi:10.24348/sdnri.2016.cifed-26","is_oa":true,"landing_page_url":"https://doi.org/10.24348/sdnri.2016.cifed-26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051734","display_name":"Association en Recherche d\u2019Information et Applications","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-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"R\u00c9SUM\u00c9.":[0],"Dans":[1,41],"les":[2,11,22,79,104,143,197,222],"syst\u00e8mes":[3,12],"de":[4,13,15,24,26,37,39,48,50,56,64,66,72,83,87,89,99,106,119,126,135,145,148,154,157,163,170,182,206,212,216],"vision":[5],"par":[6],"ordinateur":[7],"et":[8,77,129,178],"plus":[9,33,149,202],"particuli\u00e8rement":[10],"recherche":[14,18,49,146,155,162],"documents,":[16],"la":[17,30,32,54,97,107,161,168,204,227],"des":[19,115,133,184,186],"similarit\u00e9s":[20],"entre":[21],"vecteurs":[23],"descripteurs":[25,88,105,134],"grande":[27],"dimension":[28],"est":[29,60,121,138,165],"partie":[31],"co\u00fbteuse":[34],"en":[35,62,141],"termes":[36,63],"temps":[38,65,211],"calcul.":[40,67],"cet":[42],"article,":[43],"nous":[44,94],"proposons":[45,95],"un":[46],"syst\u00e8me":[47,59,215],"documents":[51,158],"bas\u00e9":[52],"sur":[53,160,167],"d\u00e9tection":[55,73],"logos.":[57,116],"Ce":[58],"efficace":[61],"En":[68],"effet,":[69],"notre":[70,179],"approche":[71,153],"consiste":[74],"\u00e0":[75,92,218],"apparier":[76],"grouper":[78],"diff\u00e9rents":[80],"descripteurs.":[81],"Afin":[82],"r\u00e9duire":[84],"le":[85,210],"nombre":[86],"type":[90,136],"point-cl\u00e9":[91,137],"apparier,":[93],"d\u2019utiliser":[96],"m\u00e9thode":[98,118],"s\u00e9paration":[100,120,205],"texte/non-texte":[101],"pour":[102,113],"\u00e9liminer":[103],"couche":[108],"texte":[109],"qui":[110],"sont":[111],"non-pertinents":[112],"l\u2019appariement":[114],"Cette":[117],"utilis\u00e9e":[122],"comme":[123],"une":[124],"\u00e9tape":[125],"pr\u00e9traitement":[127],"rapide":[128],"efficace.":[130],"L\u2019\u00e9tape":[131],"d\u2019appariement":[132],"optimis\u00e9e":[139],"davantage":[140],"utilisant":[142],"algorithmes":[144],"approximative":[147],"proches":[150],"voisins.":[151],"Notre":[152],"globale":[156],"bas\u00e9e":[159],"logos":[164],"\u00e9valu\u00e9e":[166],"base":[169,181],"donn\u00e9es":[171,183],"standard":[172],"\u00ab":[173],"Tobacco-800":[174],"\u00bb":[175],"d\u2019une":[176,189],"part":[177],"propre":[180],"publicit\u00e9s":[185],"magazines":[187],"priv\u00e9s":[188],"autre":[190],"part.":[191],"Les":[192],"r\u00e9sultats":[193],"obtenus":[194],"d\u00e9montrent":[195],"que":[196,226],"deux":[198,223],"\u00e9tapes":[199],"d\u2019optimisation":[200],"propos\u00e9es,":[201],"pr\u00e9cis\u00e9ment":[203],"texte,":[207],"r\u00e9duisent":[208],"consid\u00e9rablement":[209],"calcul":[213],"du":[214],"75%":[217],"47%":[219],"respectivement":[220],"dans":[221],"bases,":[224],"tandis":[225],"pr\u00e9cision":[228],"reste":[229],"stable.":[230]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}