{"id":"https://openalex.org/W2034066480","doi":"https://doi.org/10.1109/icme.2013.6607504","title":"Discovering spatial context prototypes for object detection","display_name":"Discovering spatial context prototypes for object detection","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2034066480","doi":"https://doi.org/10.1109/icme.2013.6607504","mag":"2034066480"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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/A5006455453","display_name":"Yukun Zhu","orcid":"https://orcid.org/0000-0003-3838-0283"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Zhu","raw_affiliation_strings":["Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, China","Inst. of Image Transm. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Inst. of Image Transm. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606995","display_name":"Jun Zhu","orcid":"https://orcid.org/0000-0002-6254-2388"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, China","Inst. of Image Transm. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Inst. of Image Transm. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422092","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8132-6250"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, China","Inst. of Image Transm. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Inst. of Image Transm. & Inf. Process., Shanghai Jiaotong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59280522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9961000084877014,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720394134521484},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.7033604383468628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162925958633423},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.6131664514541626},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.592891275882721},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5703916549682617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5130037665367126},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4756488502025604},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47530683875083923},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4741111397743225},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4549524188041687},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.412495493888855},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37195366621017456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11575663089752197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720394134521484},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.7033604383468628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162925958633423},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6131664514541626},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.592891275882721},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5703916549682617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5130037665367126},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4756488502025604},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47530683875083923},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4741111397743225},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4549524188041687},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.412495493888855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37195366621017456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11575663089752197},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.1109/icme.2013.6607504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1516887802","https://openalex.org/W1970255615","https://openalex.org/W1981613567","https://openalex.org/W2027922120","https://openalex.org/W2031489346","https://openalex.org/W2037511607","https://openalex.org/W2045798786","https://openalex.org/W2048335335","https://openalex.org/W2049705550","https://openalex.org/W2092423930","https://openalex.org/W2097018403","https://openalex.org/W2116510030","https://openalex.org/W2119821739","https://openalex.org/W2120419212","https://openalex.org/W2128197086","https://openalex.org/W2128962821","https://openalex.org/W2141364309","https://openalex.org/W2142037471","https://openalex.org/W2145406111","https://openalex.org/W2152826865","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W4232730838","https://openalex.org/W4239510810","https://openalex.org/W6630825005","https://openalex.org/W6674642818","https://openalex.org/W6678865028"],"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":{"Contextual":[0],"information":[1],"is":[2],"widely":[3],"exploited":[4],"in":[5,48,72],"the-state-of-art":[6],"object":[7,38,118,127],"detection":[8,128],"systems,":[9],"most":[10],"of":[11,30,45,91,95],"which":[12,40],"utilize":[13],"pre-defined":[14,68],"spatial":[15,28,46,62,69,86,113],"relationships":[16],"(e.g.,":[17],"above,":[18],"below,":[19],"next":[20],"to,":[21],"etc.).":[22],"However,":[23],"we":[24,79],"observe":[25],"that":[26,106],"the":[27,67,76,107],"arrangement":[29],"objects":[31],"manifests":[32],"heterogeneous":[33],"statistical":[34],"distribution":[35],"for":[36,59,116],"different":[37],"classes,":[39],"suggests":[41],"mining":[42],"class-specified":[43],"prototypes":[44,64,115],"contexts":[47],"a":[49,55,82],"data-driven":[50],"manner.":[51],"This":[52],"paper":[53],"proposes":[54],"novel":[56],"clustering-based":[57],"method":[58,94,109],"automatically":[60],"discovering":[61],"context":[63,87,114],"to":[65],"beyond":[66],"relationship":[70],"representation":[71,84],"literature.":[73],"Based":[74],"on":[75,85,101,126],"learned":[77],"prototypes,":[78],"further":[80],"construct":[81],"compact":[83],"feature,":[88],"by":[89],"means":[90],"efficient":[92],"coding":[93],"soft-assignment":[96],"quantization.":[97],"Our":[98],"experimental":[99],"results":[100],"PASCAL":[102],"VOC":[103],"dataset":[104],"demonstrate":[105],"proposed":[108],"can":[110],"capture":[111],"meaningful":[112],"various":[117],"class":[119],"pairs":[120],"and":[121],"thus":[122],"boost":[123],"recognition":[124],"performance":[125],"task.":[129]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}