{"id":"https://openalex.org/W2538521351","doi":"https://doi.org/10.1109/iccv.2009.5459338","title":"Automatic learning and extraction of multi-local features","display_name":"Automatic learning and extraction of multi-local features","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2538521351","doi":"https://doi.org/10.1109/iccv.2009.5459338","mag":"2538521351"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-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/A5021698967","display_name":"Oscar Danielsson","orcid":"https://orcid.org/0000-0001-9512-7554"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Oscar Danielsson","raw_affiliation_strings":["School of Computer Science and Communications, Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communications, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109100443","display_name":"Stefan Carlsson","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stefan Carlsson","raw_affiliation_strings":["School of Computer Science and Communications, Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communications, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088465676","display_name":"Josephine Sullivan","orcid":"https://orcid.org/0000-0003-2784-7300"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Josephine Sullivan","raw_affiliation_strings":["School of Computer Science and Communications, Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communications, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021698967"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":3.6086,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93958029,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9994000196456909,"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":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9993000030517578,"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":0.9965999722480774,"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":0.7437113523483276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7035741209983826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6811286211013794},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6347348093986511},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5960559248924255},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5959528088569641},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5920685529708862},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5863296985626221},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5837324857711792},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.4668842852115631},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4659031331539154},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4131779074668884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38497334718704224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17348265647888184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437113523483276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7035741209983826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6811286211013794},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6347348093986511},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5960559248924255},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5959528088569641},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5920685529708862},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5863296985626221},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5837324857711792},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4668842852115631},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4659031331539154},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4131779074668884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38497334718704224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17348265647888184},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.163.5399","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.5399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csc.kth.se/~osda02/files/danielssonICCV09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320940","display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","ror":"https://ror.org/044wr7g58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1919689106","https://openalex.org/W2030536784","https://openalex.org/W2045798786","https://openalex.org/W2097459996","https://openalex.org/W2099002670","https://openalex.org/W2100183835","https://openalex.org/W2108927102","https://openalex.org/W2111861094","https://openalex.org/W2119014534","https://openalex.org/W2119823327","https://openalex.org/W2123533187","https://openalex.org/W2123602281","https://openalex.org/W2125641978","https://openalex.org/W2135512949","https://openalex.org/W2143343451","https://openalex.org/W2154422044","https://openalex.org/W2157084238","https://openalex.org/W2168709984","https://openalex.org/W2186094539","https://openalex.org/W2606668424","https://openalex.org/W4233761317","https://openalex.org/W4251485470","https://openalex.org/W6639956668","https://openalex.org/W6674715393","https://openalex.org/W6676267127"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W2922421953","https://openalex.org/W1971759388","https://openalex.org/W2786306966","https://openalex.org/W2025800131","https://openalex.org/W2129974284","https://openalex.org/W2007544051","https://openalex.org/W2035456249","https://openalex.org/W2004370856"],"abstract_inverted_index":{"In":[0],"this":[1,141],"paper":[2],"we":[3],"introduce":[4],"a":[5,20,30,125,135],"new":[6],"kind":[7],"of":[8,22,47,85,98,115],"feature":[9,37],"-":[10],"the":[11,39,122],"multi-local":[12,36,116],"feature,":[13],"so":[14],"named":[15],"as":[16,26,101,103],"each":[17],"one":[18],"is":[19,55,118],"collection":[21],"local":[23,67],"features,":[24],"such":[25],"oriented":[27],"edgels,":[28],"in":[29,110,124],"very":[31],"specific":[32],"spatial":[33],"arrangement.":[34],"A":[35],"has":[38],"ability":[40],"to":[41,58,80,88,105,129],"capture":[42],"underlying":[43],"constant":[44],"shape":[45],"properties":[46],"exemplars":[48],"from":[49,93],"an":[50,83,90],"object":[51,91,131,148],"class.":[52],"Thus":[53],"it":[54],"particularly":[56],"suited":[57],"representing":[59],"and":[60,69],"detecting":[61],"visual":[62],"classes":[63],"that":[64,99],"lack":[65],"distinctive":[66],"structures":[68],"are":[70],"mainly":[71],"defined":[72],"by":[73,120],"their":[74],"global":[75],"shape.":[76],"We":[77],"present":[78],"algorithms":[79],"automatically":[81],"learn":[82],"ensemble":[84,123],"these":[86,107],"features":[87,108,117],"represent":[89],"class":[92],"weakly":[94],"labelled":[95],"training":[96],"images":[97],"class,":[100],"well":[102],"procedures":[104],"detect":[106],"efficiently":[109],"novel":[111],"images.":[112],"The":[113],"power":[114],"demonstrated":[119],"using":[121],"simple":[126],"voting":[127],"scheme":[128,142],"perform":[130],"category":[132],"detection":[133,144,149],"on":[134],"standard":[136],"database.":[137],"Despite":[138],"its":[139],"simplicity,":[140],"yields":[143],"rates":[145],"matching":[146],"state-of-the-art":[147],"systems.":[150]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}