{"id":"https://openalex.org/W2538333829","doi":"https://doi.org/10.1109/iccv.2009.5459359","title":"Detecting objects in large image collections and videos by efficient subimage retrieval","display_name":"Detecting objects in large image collections and videos by efficient subimage retrieval","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2538333829","doi":"https://doi.org/10.1109/iccv.2009.5459359","mag":"2538333829"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459359","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/A5068085751","display_name":"Christoph H. Lampert","orcid":"https://orcid.org/0000-0001-8622-7887"},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christoph H Lampert","raw_affiliation_strings":["Max-Planck Institute of Biological Cybernetics, Tubingen, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Biological Cybernetics, Tubingen, Germany","institution_ids":["https://openalex.org/I4210112925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068085751"],"corresponding_institution_ids":["https://openalex.org/I4210112925"],"apc_list":null,"apc_paid":null,"fwci":6.8891,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.97322411,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"987","last_page":"994"},"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":1.0,"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":1.0,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9919000267982483,"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":0.8068395256996155},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7468363642692566},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6449541449546814},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6373528838157654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5826717019081116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122358202934265},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5005223751068115},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49489396810531616},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4595363140106201},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2902628481388092},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07155922055244446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068395256996155},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7468363642692566},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6449541449546814},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6373528838157654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5826717019081116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122358202934265},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5005223751068115},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49489396810531616},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4595363140106201},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2902628481388092},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07155922055244446},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccv.2009.5459359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459359","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:10.1.1.165.9701","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.9701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kyb.tuebingen.mpg.de/publications/attachments/ICCV2009-Lampert_%5B0%5D.pdf","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:461787","is_oa":false,"landing_page_url":"http://edoc.mpg.de/461787","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Twelfth IEEE International Conference on Computer Vision (ICCV 2009), 1-8 (2009)","raw_type":"Conference-Paper"},{"id":"pmh:oai:pure.mpg.de:item_1789075","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-C27E-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Twelfth IEEE International Conference on Computer Vision (ICCV 2009)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1511103935","https://openalex.org/W1557578239","https://openalex.org/W1585910451","https://openalex.org/W1961424061","https://openalex.org/W1971611495","https://openalex.org/W1980280334","https://openalex.org/W2031476339","https://openalex.org/W2066690519","https://openalex.org/W2080928936","https://openalex.org/W2113018802","https://openalex.org/W2113201641","https://openalex.org/W2119619564","https://openalex.org/W2130660124","https://openalex.org/W2135705692","https://openalex.org/W2141362318","https://openalex.org/W2144017696","https://openalex.org/W2147069236","https://openalex.org/W2149259880","https://openalex.org/W2172043283","https://openalex.org/W2342089072","https://openalex.org/W2914885528","https://openalex.org/W3023786531","https://openalex.org/W3160851792","https://openalex.org/W6630363321","https://openalex.org/W6677559519","https://openalex.org/W6795644987"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W2382480268","https://openalex.org/W2087793626","https://openalex.org/W1976518449","https://openalex.org/W2732837990","https://openalex.org/W2052697133","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W4292830139"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,6,62],"task":[3],"of":[4,8,22,40,83],"detecting":[5],"occurrence":[7],"objects":[9],"in":[10,15,81],"large":[11,47],"image":[12,25,48,79,118],"collections":[13],"or":[14,42,85],"videos,":[16],"a":[17,52,72],"problem":[18],"that":[19,59,97],"combines":[20],"aspects":[21],"content":[23],"based":[24],"retrieval":[26,57,80],"and":[27,67],"object":[28],"localization.":[29],"While":[30],"most":[31],"previous":[32,114],"approaches":[33],"are":[34],"either":[35],"limited":[36],"to":[37,46],"special":[38],"kinds":[39],"queries,":[41],"do":[43],"not":[44,100],"scale":[45],"sets,":[49],"we":[50],"propose":[51],"new":[53],"method,":[54],"efficient":[55],"subimage":[56],"(ESR),":[58],"is":[60,99],"at":[61],"same":[63],"time":[64],"very":[65,68,102],"flexible":[66],"efficient.":[69],"Relying":[70],"on":[71,93],"two-layered":[73],"branch-and-bound":[74],"setup,":[75],"ESR":[76,98],"performs":[77],"object-based":[78,117],"sets":[82],"100,000":[84],"more":[86],"images":[87],"within":[88],"seconds.":[89],"An":[90],"extensive":[91],"evaluation":[92],"several":[94],"datasets":[95],"shows":[96],"only":[101],"fast,":[103],"but":[104],"it":[105],"also":[106],"achieves":[107],"excellent":[108],"detection":[109],"accuracies":[110],"thereby":[111],"improving":[112],"over":[113],"systems":[115],"for":[116],"retrieval.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
