{"id":"https://openalex.org/W2090635852","doi":"https://doi.org/10.1109/icapr.2015.7050704","title":"Extracting information from a query image, for content based image retrieval","display_name":"Extracting information from a query image, for content based image retrieval","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2090635852","doi":"https://doi.org/10.1109/icapr.2015.7050704","mag":"2090635852"},"language":"en","primary_location":{"id":"doi:10.1109/icapr.2015.7050704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2015.7050704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)","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/A5054069765","display_name":"Nitin Gupta","orcid":"https://orcid.org/0000-0003-0177-6292"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitin Gupta","raw_affiliation_strings":["Dept. of CS&E, IIT Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CS&E, IIT Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000019969","display_name":"Sukhendu Das","orcid":"https://orcid.org/0000-0002-2823-9211"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukhendu Das","raw_affiliation_strings":["Dept. of CS&E, IIT Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CS&E, IIT Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091240335","display_name":"Sutanu Chakraborti","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sutanu Chakraborti","raw_affiliation_strings":["Dept. of CS&E, IIT Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CS&E, IIT Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.4055,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67553954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8024564981460571},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6765203475952148},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.6292479038238525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.575904130935669},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5626053214073181},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.547306478023529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.482028603553772},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4636894762516022},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4298862814903259},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4282572269439697},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41686388850212097},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4164941608905792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4101811945438385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3235933780670166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08641818165779114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024564981460571},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6765203475952148},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.6292479038238525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.575904130935669},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5626053214073181},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.547306478023529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.482028603553772},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4636894762516022},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4298862814903259},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4282572269439697},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41686388850212097},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4164941608905792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4101811945438385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3235933780670166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08641818165779114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":1,"locations":[{"id":"doi:10.1109/icapr.2015.7050704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2015.7050704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1544959898","https://openalex.org/W1587559447","https://openalex.org/W1596318652","https://openalex.org/W1809699743","https://openalex.org/W1977072130","https://openalex.org/W1977601302","https://openalex.org/W2016215417","https://openalex.org/W2037227137","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2063599644","https://openalex.org/W2069811962","https://openalex.org/W2080928936","https://openalex.org/W2080955644","https://openalex.org/W2104769604","https://openalex.org/W2119300483","https://openalex.org/W2119821739","https://openalex.org/W2124351162","https://openalex.org/W2132254548","https://openalex.org/W2135957164","https://openalex.org/W2141303268","https://openalex.org/W2147526465","https://openalex.org/W2149095485","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2153908725","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163808566","https://openalex.org/W2168356304","https://openalex.org/W4239510810","https://openalex.org/W4313169793","https://openalex.org/W6676089979","https://openalex.org/W6679579843","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2746816529","https://openalex.org/W2024252608","https://openalex.org/W3201443322","https://openalex.org/W2031096531","https://openalex.org/W2342735177","https://openalex.org/W2534459178","https://openalex.org/W2798760230","https://openalex.org/W2328992539","https://openalex.org/W826460979","https://openalex.org/W2188330976"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,82,93,121,131,136,146,150],"method":[4],"to":[5,25,38,74,101,113,142,171],"solve":[6,39,102],"the":[7,40,46,49,57,71,79,87,103,118,143,158,173,176],"problem":[8,41,50,104],"of":[9,21,42,51,59,105,133,138,175],"Object-Centric":[10,128],"Content":[11],"Based":[12,85],"Image":[13],"Retrieval":[14],"(CBIR),":[15],"motivated":[16],"by":[17],"concepts":[18],"from":[19,135,157],"theory":[20],"cognitive":[22,26,89],"sciences.":[23],"According":[24],"models,":[27],"there":[28],"are":[29,162],"two":[30,67],"lobes":[31,68],"in":[32,81,120,145],"human":[33,72],"brain,":[34],"one":[35],"is":[36,56],"responsible":[37],"object":[43,119],"recognition,":[44],"while":[45],"other":[47],"solves":[48],"localization":[52],"(or":[53],"detection).":[54],"It":[55],"exchange":[58],"mutual":[60],"information":[61],"(back":[62],"and":[63,77,98,116],"forth)":[64],"between":[65],"these":[66],"which":[69],"enables":[70],"brain":[73],"simultaneously":[75,114],"detect":[76,115],"recognize":[78,117],"objects":[80],"complex":[83],"scene.":[84],"on":[86,154],"above":[88],"paradigm,":[90],"we":[91],"propose":[92],"RADAR":[94,110],"(Retrieval":[95],"After":[96],"Detection":[97],"Recognition)":[99],"framework,":[100],"object-centric":[106],"CBIR.":[107],"Our":[108],"proposed":[109,177],"framework":[111],"helps":[112],"given":[122],"test":[123],"sample":[124],"for":[125],"retrieval":[126],"task.":[127],"CBIR":[129],"retrieves":[130],"set":[132],"samples":[134],"database":[137],"identified":[139],"categories,":[140],"similar":[141],"categories":[144],"query":[147],"image":[148],"using":[149,164],"matching":[151],"criteria":[152],"based":[153],"features":[155],"extracted":[156],"localized":[159],"region(s).":[160],"Results":[161],"shown":[163],"various":[165],"real-world":[166],"datasets":[167],"(including":[168],"PASCAL":[169],"VOC)":[170],"exhibit":[172],"performance":[174],"method.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}