{"id":"https://openalex.org/W4251205960","doi":"https://doi.org/10.1109/siu49456.2020.9302140","title":"Multi-Query Image Retrieval Based on Deep Learning and Pareto Optimality","display_name":"Multi-Query Image Retrieval Based on Deep Learning and Pareto Optimality","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W4251205960","doi":"https://doi.org/10.1109/siu49456.2020.9302140"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","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/A5032033425","display_name":"Cabir Vural","orcid":"https://orcid.org/0000-0002-9683-3861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cabir Vural","raw_affiliation_strings":["Marmara &#x00DC;niversitesi,Elektrik-Elektronik M\u00fchendisli\u011fi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marmara &#x00DC;niversitesi,Elektrik-Elektronik M\u00fchendisli\u011fi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045418183","display_name":"Enver Akbacak","orcid":"https://orcid.org/0000-0002-6753-7887"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enver Akbacak","raw_affiliation_strings":["Marmara &#x00DC;niversitesi,Elektrik-Elektronik M\u00fchendisli\u011fi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marmara &#x00DC;niversitesi,Elektrik-Elektronik M\u00fchendisli\u011fi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0957,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45087623,"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":"4"},"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":0.9965000152587891,"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":0.9965000152587891,"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":0.9940999746322632,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9294999837875366,"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":0.7841231226921082},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6218331456184387},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6038389801979065},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.567126989364624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5171815156936646},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4692630171775818},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4528043568134308},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42746487259864807},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.42384645342826843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39402902126312256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3901136517524719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12073835730552673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841231226921082},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6218331456184387},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6038389801979065},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.567126989364624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5171815156936646},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4692630171775818},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4528043568134308},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42746487259864807},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42384645342826843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39402902126312256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3901136517524719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12073835730552673},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu49456.2020.9302140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:openaccess.marmara.edu.tr:11424/248108","is_oa":false,"landing_page_url":"https://hdl.handle.net/11424/248108","pdf_url":null,"source":{"id":"https://openalex.org/S4306401380","display_name":"Dspace Repository (Marmara \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74897591","host_organization_name":"Marmara University","host_organization_lineage":["https://openalex.org/I74897591"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2738221750","https://openalex.org/W3097853387","https://openalex.org/W1926504679","https://openalex.org/W2144467850","https://openalex.org/W3150772620","https://openalex.org/W3012401223","https://openalex.org/W4287330208","https://openalex.org/W2353314619","https://openalex.org/W2088097596","https://openalex.org/W2519881370"],"abstract_inverted_index":{"In":[0,28],"this":[1],"study,":[2],"a":[3,47,81],"method":[4,77],"for":[5],"fast":[6],"and":[7,36,50],"efficient":[8],"multiquery":[9],"image":[10,42],"retrieval":[11],"from":[12,25,46],"large":[13],"scale":[14],"databases":[15],"is":[16,78],"introduced.":[17],"Images":[18],"used":[19],"as":[20],"queries":[21,35,67],"are":[22,44,53,68],"semantically":[23],"different":[24],"each":[26,37],"other.":[27],"order":[29],"to":[30],"obtain":[31],"similarity":[32],"between":[33],"multiple":[34,66],"item":[38],"in":[39],"the":[40,71,76],"database,":[41],"features":[43],"extracted":[45],"deep":[48],"networks":[49],"then":[51],"they":[52],"converted":[54],"into":[55],"binary":[56],"codes.":[57],"The":[58],"database":[59],"items":[60],"that":[61],"simultaneously":[62],"most":[63],"closely":[64],"resemble":[65],"obtained":[69],"by":[70],"Pareto":[72],"front":[73],"method.":[74],"Furthermore,":[75],"tested":[79],"on":[80],"designed":[82],"graphical":[83],"user":[84],"interface.":[85]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2022-05-12T00:00:00"}
