{"id":"https://openalex.org/W1926516915","doi":"https://doi.org/10.5220/0004672303210328","title":"Image Retrieval with Reciprocal and Shared Nearest Neighbors","display_name":"Image Retrieval with Reciprocal and Shared Nearest Neighbors","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1926516915","doi":"https://doi.org/10.5220/0004672303210328","mag":"1926516915"},"language":"en","primary_location":{"id":"doi:10.5220/0004672303210328","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004672303210328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2096,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93428419,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"328"},"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":1.0,"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":1.0,"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":0.9991999864578247,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.992900013923645,"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/reciprocal","display_name":"Reciprocal","score":0.7645365595817566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816675662994385},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5348652005195618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4409511387348175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38921481370925903},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38181614875793457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37154561281204224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32559674978256226}],"concepts":[{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.7645365595817566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816675662994385},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5348652005195618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4409511387348175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38921481370925903},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38181614875793457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37154561281204224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32559674978256226},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":1,"locations":[{"id":"doi:10.5220/0004672303210328","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004672303210328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1573605934","https://openalex.org/W2012592962","https://openalex.org/W2059362275","https://openalex.org/W2070333970","https://openalex.org/W2071027807","https://openalex.org/W2076188996","https://openalex.org/W2085261163","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2149991777","https://openalex.org/W2151103935"],"related_works":["https://openalex.org/W2391753177","https://openalex.org/W2996284460","https://openalex.org/W1966306316","https://openalex.org/W2052414331","https://openalex.org/W3003660440","https://openalex.org/W4285058191","https://openalex.org/W2017889482","https://openalex.org/W2735124752","https://openalex.org/W2792667446","https://openalex.org/W2028403663"],"abstract_inverted_index":{"Content-based":[0],"image":[1,11,122],"retrieval":[2,54],"systems":[3],"typically":[4],"rely":[5],"on":[6,80,100,125],"a":[7,51],"similarity":[8,46,63],"measure":[9],"between":[10,73],"vector":[12],"representations,":[13],"such":[14],"as":[15],"in":[16,23],"bag-of-words,":[17],"to":[18,29,50,69,84],"rank":[19],"the":[20,30,33,71,91,108,119],"database":[21],"images":[22],"decreasing":[24],"order":[25],"of":[26,36,53,102,121],"expected":[27],"relevance":[28],"query.":[31],"However,":[32],"inherent":[34],"asymmetry":[35],"k-nearest":[37],"neighborhoods":[38],"is":[39],"not":[40],"properly":[41],"accounted":[42],"for":[43,106],"by":[44,61],"traditional":[45],"measures,":[47],"possibly":[48],"leading":[49],"loss":[52],"accuracy.":[55],"This":[56],"paper":[57],"addresses":[58],"this":[59],"issue":[60],"proposing":[62],"measures":[64,87,98],"that":[65,88],"use":[66],"neighborhood":[67],"information":[68],"assess":[70],"relationship":[72],"images.":[74],"First,":[75],"we":[76,96],"extend":[77],"previous":[78],"work":[79],"k-reciprocal":[81],"nearest":[82,104],"neighbors":[83,105],"produce":[85],"new":[86],"improve":[89,118],"over":[90],"original":[92],"primary":[93],"metric.":[94],"Second,":[95],"propose":[97],"defined":[99],"sets":[101],"shared":[103],"reranking":[107],"shortlist.":[109],"Both":[110],"these":[111],"methods":[112],"are":[113],"simple,":[114],"yet":[115],"they":[116],"significantly":[117],"accuracy":[120],"search":[123],"engines":[124],"standard":[126],"benchmark":[127],"datasets.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2016-06-24T00:00:00"}
