{"id":"https://openalex.org/W2124456931","doi":"https://doi.org/10.1109/icip.2002.1039120","title":"Fuzzy aggregation of image features in content-based image retrieval","display_name":"Fuzzy aggregation of image features in content-based image retrieval","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2124456931","doi":"https://doi.org/10.1109/icip.2002.1039120","mag":"2124456931"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1039120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1039120","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","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/A5075038952","display_name":"Azadeh Kushki","orcid":"https://orcid.org/0000-0003-1510-8818"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"A. Kushki","raw_affiliation_strings":["Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057674584","display_name":"P. Androutsos","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"P. Androutsos","raw_affiliation_strings":["Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059152392","display_name":"Konstantinos N. Plataniotis","orcid":"https://orcid.org/0000-0003-3647-5473"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"K.N. Plataniotis","raw_affiliation_strings":["Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109874826","display_name":"A.N. Venetsanopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"A.N. Venetsanopoulos","raw_affiliation_strings":["Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Laboratory, Edward S. Rogers Department of Electrical & Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.235,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.48743552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"909","last_page":"912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/news-aggregator","display_name":"News aggregator","score":0.9189622402191162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7551934719085693},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5881946682929993},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5600047707557678},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5332695245742798},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5329450368881226},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5200521349906921},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5075094103813171},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4556998014450073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4143035411834717},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.414251446723938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3919524550437927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37071293592453003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19721651077270508},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09924700856208801},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07828038930892944}],"concepts":[{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.9189622402191162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551934719085693},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5881946682929993},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5600047707557678},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5332695245742798},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5329450368881226},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5200521349906921},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5075094103813171},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4556998014450073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4143035411834717},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.414251446723938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3919524550437927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37071293592453003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19721651077270508},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09924700856208801},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07828038930892944},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2002.1039120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1039120","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.13.1792","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.1792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dsp.utoronto.ca/~azadeh/Papers/icip2002.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1480643874","https://openalex.org/W2032521963","https://openalex.org/W2035470580","https://openalex.org/W2069350352","https://openalex.org/W2109506130","https://openalex.org/W2161865688","https://openalex.org/W2169467627"],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2905186525","https://openalex.org/W1499339903","https://openalex.org/W2044706866","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W2024252608"],"abstract_inverted_index":{"The":[0,38,63],"obstacle":[1],"of":[2,9,43,79,100,103],"generating":[3],"hybrid":[4,49,113],"queries":[5,32,83,114,150],"within":[6],"the":[7,41,53,77,80,116,140],"context":[8],"content-based":[10],"image":[11],"retrieval":[12],"is":[13],"still":[14],"very":[15],"real.":[16],"In":[17,138],"attempts":[18],"to":[19,27,55,60,82,95,124,134,148],"overcome":[20],"this,":[21],"fuzzy":[22,45,117],"aggregation":[23,46],"can":[24,66],"be":[25,67],"used":[26],"combine":[28],"single,":[29],"simple":[30],"index":[31],"into":[33],"larger,":[34],"more":[35],"complex":[36],"ones.":[37],"paper":[39],"outlines":[40],"use":[42],"a":[44,70,96,145,153],"technique":[47],"for":[48],"querying":[50],"which":[51],"has":[52],"ability":[54,123],"adjust":[56],"its":[57],"behavior":[58],"according":[59],"operator-controlled":[61],"parameters.":[62],"resulting":[64],"aggregator":[65,81,118],"viewed":[68],"as":[69],"feature-adaptive":[71],"overall":[72],"similarity":[73],"measure.":[74],"We":[75],"limit":[76],"scope":[78],"involving":[84],"color":[85,87],"content,":[86],"coverage,":[88],"and":[89,92,110,160],"horizontal/vertical":[90],"trends,":[91],"apply":[93],"it":[94],"media":[97],"database":[98],"comprised":[99],"Corel":[101],"images":[102,127],"fixed":[104],"size.":[105],"Preliminary":[106],"results":[107,141],"show":[108],"promise":[109],"illustrate":[111],"that":[112],"using":[115,152],"are":[119,143],"effective":[120],"in":[121,163],"their":[122],"retrieve":[125],"relevant":[126],"while":[128],"suppressing":[129],"erroneous":[130],"retrievals":[131],"when":[132],"compared":[133],"simple,":[135],"single-feature":[136],"queries.":[137],"addition,":[139],"obtained":[142],"at":[144],"minimum":[146],"comparable":[147],"multiple-feature":[149],"generated":[151],"weighted":[154],"mean":[155],"approach,":[156],"but":[157],"exhibiting":[158],"scalability":[159],"greater":[161],"flexibility":[162],"parameter":[164],"adjustment.":[165]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}