{"id":"https://openalex.org/W2167726669","doi":"https://doi.org/10.1109/wiamis.2009.5031477","title":"Neighborhood-based feature weighting for relevance feedback in content-based retrieval","display_name":"Neighborhood-based feature weighting for relevance feedback in content-based retrieval","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2167726669","doi":"https://doi.org/10.1109/wiamis.2009.5031477","mag":"2167726669"},"language":"en","primary_location":{"id":"doi:10.1109/wiamis.2009.5031477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiamis.2009.5031477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","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/A5015856151","display_name":"Luca Piras","orcid":"https://orcid.org/0000-0002-2130-9598"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Piras","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075367917","display_name":"Giorgio Giacinto","orcid":"https://orcid.org/0000-0002-5759-3017"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio Giacinto","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015856151"],"corresponding_institution_ids":["https://openalex.org/I172446870"],"apc_list":null,"apc_paid":null,"fwci":2.9121,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92206845,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification 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/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/T10057","display_name":"Face and Expression Recognition","score":0.9868999719619751,"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/weighting","display_name":"Weighting","score":0.9232755899429321},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.8918421268463135},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7528148889541626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7389528155326843},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6688284873962402},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6438122987747192},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6365635991096497},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5925597548484802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5861899852752686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5375670194625854},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5346737504005432},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.521950900554657},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4247959852218628},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41773465275764465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4010833203792572}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.9232755899429321},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8918421268463135},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7528148889541626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7389528155326843},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6688284873962402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6438122987747192},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6365635991096497},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5925597548484802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861899852752686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5375670194625854},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5346737504005432},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.521950900554657},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4247959852218628},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41773465275764465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4010833203792572},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wiamis.2009.5031477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiamis.2009.5031477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unica.it:11584/106062","is_oa":false,"landing_page_url":"http://hdl.handle.net/11584/106062","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1593317124","https://openalex.org/W1607838481","https://openalex.org/W1825808266","https://openalex.org/W1973693867","https://openalex.org/W1977261934","https://openalex.org/W2057843461","https://openalex.org/W2071679915","https://openalex.org/W2130660124","https://openalex.org/W2144182447","https://openalex.org/W6636174612"],"related_works":["https://openalex.org/W2034539438","https://openalex.org/W2124645781","https://openalex.org/W2184057774","https://openalex.org/W2140331143","https://openalex.org/W2543381692","https://openalex.org/W1606474234","https://openalex.org/W1497114142","https://openalex.org/W2133641558","https://openalex.org/W2096561479","https://openalex.org/W2411245752"],"abstract_inverted_index":{"High":[0],"retrieval":[1,6],"precision":[2],"in":[3],"content-based":[4],"image":[5,36],"can":[7],"be":[8],"attained":[9],"by":[10,32,56],"adopting":[11],"relevance":[12,28,42,90],"feedback":[13,29],"mechanisms.":[14],"In":[15],"this":[16],"paper":[17],"we":[18],"propose":[19],"a":[20,41,57],"weighted":[21,58],"similarity":[22],"measure":[23],"based":[24],"on":[25,45],"the":[26,33,60,65,101,106],"nearest-neighbor":[27,46],"technique":[30],"proposed":[31,79,102],"authors.":[34],"Each":[35],"is":[37,78],"ranked":[38],"according":[39],"to":[40,64,80,88,110,114],"score":[43],"depending":[44],"distances":[47],"from":[48,93],"relevant":[49,72],"and":[50,86,113],"non-relevant":[51],"images.":[52],"Distances":[53],"are":[54],"computed":[55,92],"measure,":[59],"weights":[61,81],"being":[62],"related":[63],"capability":[66],"of":[67,70],"feature":[68,84,95],"spaces":[69],"representing":[71],"images":[73],"as":[74],"nearest-neighbors.":[75],"This":[76],"approach":[77],"individual":[82],"features,":[83],"subsets,":[85],"also":[87],"weight":[89],"scores":[91],"different":[94],"spaces.":[96],"Reported":[97],"results":[98],"show":[99],"that":[100],"weighting":[103,116],"scheme":[104],"improves":[105],"performances":[107],"with":[108],"respect":[109],"unweighed":[111],"distances,":[112],"other":[115],"schemes.":[117]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
