{"id":"https://openalex.org/W3159477948","doi":"https://doi.org/10.1109/icpr48806.2021.9413103","title":"Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval","display_name":"Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3159477948","doi":"https://doi.org/10.1109/icpr48806.2021.9413103","mag":"3159477948"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03265184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061050264","display_name":"Nikolaos Passalis","orcid":"https://orcid.org/0000-0003-1177-9139"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Passalis","raw_affiliation_strings":["Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"885","last_page":"892"},"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":0.9975000023841858,"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":0.9944000244140625,"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":0.7807646989822388},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7246725559234619},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7065284848213196},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5201104879379272},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5087640881538391},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4896836578845978},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4891717731952667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4344756007194519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4287264049053192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40251827239990234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15164276957511902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807646989822388},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7246725559234619},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7065284848213196},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5201104879379272},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5087640881538391},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4896836578845978},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4891717731952667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4344756007194519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4287264049053192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40251827239990234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15164276957511902},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03265184v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03265184","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan (virtual), Italy. pp.885-892, &#x27E8;10.1109/ICPR48806.2021.9413103&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03265184v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03265184","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan (virtual), Italy. pp.885-892, &#x27E8;10.1109/ICPR48806.2021.9413103&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3342924554","display_name":null,"funder_award_id":"871449","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W565868953","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1923967535","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W2006025735","https://openalex.org/W2007972815","https://openalex.org/W2116801843","https://openalex.org/W2117539524","https://openalex.org/W2118020555","https://openalex.org/W2147069236","https://openalex.org/W2162006472","https://openalex.org/W2162345241","https://openalex.org/W2163605009","https://openalex.org/W2293824885","https://openalex.org/W2319521425","https://openalex.org/W2341234495","https://openalex.org/W2411707397","https://openalex.org/W2464915613","https://openalex.org/W2484648951","https://openalex.org/W2508837377","https://openalex.org/W2602646780","https://openalex.org/W2618530766","https://openalex.org/W2750384547","https://openalex.org/W2797938814","https://openalex.org/W2798956329","https://openalex.org/W2801348287","https://openalex.org/W2897765688","https://openalex.org/W2909781645","https://openalex.org/W2963323172","https://openalex.org/W2963398644","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964280870","https://openalex.org/W2972421866","https://openalex.org/W2990460876","https://openalex.org/W3003608386","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W4230367971","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6640412524","https://openalex.org/W6677267524","https://openalex.org/W6683931117","https://openalex.org/W6688152296","https://openalex.org/W6697060382","https://openalex.org/W6725199262","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2000517284","https://openalex.org/W2365318811","https://openalex.org/W4255837520","https://openalex.org/W2136503713","https://openalex.org/W2375330620","https://openalex.org/W2363755581"],"abstract_inverted_index":{"Several":[0],"deep":[1,49,126],"supervised":[2,50,127],"hashing":[3,51,77,129],"techniques":[4],"have":[5],"been":[6],"proposed":[7,68,110],"to":[8,33,44,72,82,100],"allow":[9],"for":[10,37],"querying":[11],"large":[12],"image":[13,128],"databases.":[14],"However,":[15],"it":[16],"is":[17,70,94,112],"often":[18],"overlooked":[19],"that":[20,53,93],"the":[21,38,55,62,73,87,106,109],"process":[22],"of":[23,75,108],"information":[24,79],"retrieval":[25,80,103],"can":[26],"be":[27],"modeled":[28],"using":[29,58,118],"information-theoretic":[30,60,85],"metrics,":[31],"leading":[32,81],"optimizing":[34],"various":[35],"proxies":[36],"problem":[39],"at":[40],"hand":[41],"instead.":[42],"Contrary":[43],"this,":[45],"we":[46],"propose":[47],"a":[48,83],"algorithm":[52],"optimizes":[54],"learned":[56],"codes":[57],"an":[59],"measure,":[61,86],"Quadratic":[63,88],"Mutual":[64,90],"Information":[65,91],"(QMI).":[66],"The":[67],"method":[69,111],"adapted":[71],"needs":[74],"large-scale":[76],"and":[78,121],"novel":[84],"Spherical":[89],"(QSMI),":[92],"inspired":[95],"by":[96],"QMI,":[97],"but":[98],"leads":[99],"significant":[101],"better":[102],"precision.":[104],"Indeed,":[105],"effectiveness":[107],"demonstrated":[113],"under":[114],"several":[115],"different":[116,119],"scenarios,":[117],"datasets":[120],"network":[122],"architectures,":[123],"outperforming":[124],"existing":[125],"techniques.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
