{"id":"https://openalex.org/W2547132599","doi":"https://doi.org/10.1109/iccv.2009.5459344","title":"Quantifying contextual information for object detection","display_name":"Quantifying contextual information for object detection","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2547132599","doi":"https://doi.org/10.1109/iccv.2009.5459344","mag":"2547132599"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459344","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/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen''s Mary, University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen''s Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039302902","display_name":"Shaogang Gong","orcid":"https://orcid.org/0000-0001-8156-2299"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaogang Gong","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen''s Mary, University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen''s Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014436524","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-2530-1059"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen''s Mary, University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen''s Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108050904"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":3.9367,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94467512,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"932","last_page":"939"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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":0.684542715549469},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.6444433927536011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6380922794342041},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5606269240379333},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5519831776618958},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5386196970939636},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5253925919532776},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5126244425773621},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5084401965141296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49554669857025146},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4400525689125061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41066235303878784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40657803416252136},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3541620969772339},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13214969635009766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684542715549469},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.6444433927536011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6380922794342041},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5606269240379333},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5519831776618958},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5386196970939636},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5253925919532776},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5126244425773621},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5084401965141296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49554669857025146},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4400525689125061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41066235303878784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40657803416252136},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3541620969772339},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13214969635009766},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2009.5459344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459344","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:10.1.1.160.4267","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.4267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_ICCV09.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.546.9202","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.546.9202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.qmul.ac.uk/~jason/Research/PreprintVersion/MMC_ICCV2009_Preprint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G827375879","display_name":null,"funder_award_id":"EP/E028594/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1516887802","https://openalex.org/W1517064926","https://openalex.org/W1584193343","https://openalex.org/W1589362500","https://openalex.org/W1882891049","https://openalex.org/W2001877540","https://openalex.org/W2036167211","https://openalex.org/W2081293863","https://openalex.org/W2098355199","https://openalex.org/W2104125540","https://openalex.org/W2106962004","https://openalex.org/W2116810533","https://openalex.org/W2128197086","https://openalex.org/W2128554449","https://openalex.org/W2128962821","https://openalex.org/W2132870739","https://openalex.org/W2147513688","https://openalex.org/W2151103935","https://openalex.org/W2160254296","https://openalex.org/W2161920802","https://openalex.org/W2161969291","https://openalex.org/W2163490908","https://openalex.org/W2166761907","https://openalex.org/W2167090521","https://openalex.org/W2181691731","https://openalex.org/W2487225473","https://openalex.org/W4285719527","https://openalex.org/W6630710512","https://openalex.org/W6630825005","https://openalex.org/W6635107798","https://openalex.org/W6678865028","https://openalex.org/W7011438494"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2549121492"],"abstract_inverted_index":{"Context":[0],"is":[1,17,31,80,103,108],"critical":[2],"for":[3,41],"minimising":[4],"ambiguity":[5],"in":[6],"object":[7,106,125],"detection.":[8],"In":[9,44],"this":[10],"work,":[11],"a":[12,35,51,57,86,92,130],"novel":[13],"context":[14,28,42,53,60,88,93,121,133],"modelling":[15,122],"framework":[16],"proposed":[18,120],"without":[19],"the":[20,65,69,73,119],"need":[21],"of":[22,68,77],"any":[23],"prior":[24],"scene":[25],"segmentation":[26],"or":[27],"annotation.":[29],"This":[30],"achieved":[32],"by":[33],"exploring":[34],"new":[36,52],"polar":[37],"geometric":[38],"histogram":[39],"descriptor":[40],"representation.":[43],"order":[45],"to":[46,63,105],"quantify":[47],"context,":[48],"we":[49],"formulate":[50],"risk":[54,70],"function":[55],"and":[56,75,83,91,114,128],"maximum":[58],"margin":[59],"(MMC)":[61],"model":[62],"solve":[64],"minimization":[66],"problem":[67],"function.":[71],"Crucially,":[72],"usefulness":[74],"goodness":[76],"contextual":[78,100],"information":[79,101],"evaluated":[81],"directly":[82],"explicitly":[84],"through":[85],"discriminant":[87],"inference":[89],"method":[90],"confidence":[94],"function,":[95],"so":[96],"that":[97,102,118],"only":[98],"reliable":[99],"relevant":[104],"detection":[107,126],"utilised.":[109],"Experiments":[110],"on":[111],"PASCAL":[112],"VOC2005":[113],"i-LIDS":[115],"datasets":[116],"demonstrate":[117],"approach":[123],"improves":[124],"significantly":[127],"outperforms":[129],"state-of-the-art":[131],"alternative":[132],"model.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}