{"id":"https://openalex.org/W2902457971","doi":"https://doi.org/10.23919/eusipco.2018.8553380","title":"Optimized Binary Hashing Codes Generated by Siamese Neural Networks for Image Retrieval","display_name":"Optimized Binary Hashing Codes Generated by Siamese Neural Networks for Image Retrieval","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902457971","doi":"https://doi.org/10.23919/eusipco.2018.8553380","mag":"2902457971"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553380","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5045397738","display_name":"Abin Jose","orcid":"https://orcid.org/0000-0002-3974-3552"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Abin Jose","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035209001","display_name":"Timo Horstmann","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Horstmann","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105716901","display_name":"Jens-Rainer Ohm","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens-Rainer Ohm","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045397738"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14112543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1487","last_page":"1491"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9900000095367432,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9840999841690063,"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/binary-code","display_name":"Binary code","score":0.7936123609542847},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6617975831031799},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6341772079467773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5418089628219604},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.533627450466156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5106163620948792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42333975434303284},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41707417368888855},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3803495764732361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3311423659324646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24609729647636414}],"concepts":[{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.7936123609542847},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6617975831031799},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6341772079467773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5418089628219604},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.533627450466156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5106163620948792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42333975434303284},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41707417368888855},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3803495764732361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3311423659324646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24609729647636414},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553380","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:754137","is_oa":false,"landing_page_url":"http://publications.rwth-aachen.de/search?p=id:%22RWTH-2019-01026%22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE, European Signal Processing Conference 1487-1491 (2018). doi:10.23919/EUSIPCO.2018.8553380","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1883985887","https://openalex.org/W1910300841","https://openalex.org/W1910334602","https://openalex.org/W1923967535","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2020498246","https://openalex.org/W2089632823","https://openalex.org/W2130540277","https://openalex.org/W2157364932","https://openalex.org/W2163605009","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2461086877","https://openalex.org/W2464915613","https://openalex.org/W2509619282","https://openalex.org/W2565993688","https://openalex.org/W2790797863","https://openalex.org/W3091905774","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W4285719527","https://openalex.org/W6639288426","https://openalex.org/W6640412524","https://openalex.org/W6648560114","https://openalex.org/W6679406034","https://openalex.org/W6684191040","https://openalex.org/W6697060382","https://openalex.org/W6697214482","https://openalex.org/W6725152364","https://openalex.org/W6731107727","https://openalex.org/W6783596713","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2036846997","https://openalex.org/W2112223184","https://openalex.org/W2347586617","https://openalex.org/W2115702840","https://openalex.org/W2161963661","https://openalex.org/W2165061339","https://openalex.org/W2125614474","https://openalex.org/W4379381651","https://openalex.org/W2295845123","https://openalex.org/W2358054814"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,113,129],"use":[4],"a":[5,23],"Siamese":[6],"Neural":[7],"Network":[8],"based":[9],"hashing":[10],"method":[11],"for":[12,108,117],"generating":[13,82,104],"binary":[14,43,50,67,83,101,106,118,123,141],"codes":[15,44,84,102,107,119,142],"with":[16,85,144,177],"certain":[17,63],"properties.":[18,159],"The":[19,29,69,93,160],"training":[20],"architecture":[21],"takes":[22],"pair":[24],"of":[25,58,72,79,89,121,139,153],"images":[26,38,47],"as":[27,134],"input.":[28],"loss":[30,59],"function":[31],"trains":[32],"the":[33,66,74,86,97,122,131,140,145,151,173],"network":[34],"so":[35],"that":[36,61],"similar":[37,42],"are":[39,175],"mapped":[40],"to":[41,48],"and":[45,91,126,137,172],"dissimilar":[46,109],"different":[49,154],"codes.":[51,68],"We":[52,148],"add":[53],"additional":[54,146],"constraints":[55],"in":[56],"form":[57],"functions":[60],"enforce":[62],"properties":[64,132],"on":[65,157],"main":[70],"motivation":[71],"incorporating":[73],"first":[75],"constraint":[76,95],"is":[77,163],"maximization":[78],"entropy":[80,138],"by":[81,103,165],"same":[87],"number":[88],"1s":[90],"Os.":[92],"second":[94],"minimizes":[96],"mutual":[98,135],"information":[99,136],"between":[100],"orthogonal":[105],"images.":[110],"For":[111],"this,":[112],"introduce":[114],"orthogonality":[115],"criterion":[116],"consisting":[120],"values":[124,171],"0":[125],"1.":[127],"Furthermore,":[128],"evaluate":[130],"such":[133],"generated":[143],"constraints.":[147],"also":[149],"analyze":[150],"influence":[152],"bit":[155],"sizes":[156],"those":[158],"retrieval":[161],"performance":[162],"evaluated":[164],"measuring":[166],"Mean":[167],"Average":[168],"Precision":[169],"(MAP)":[170],"results":[174],"compared":[176],"other":[178],"state-of-the-art":[179],"approaches.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
