{"id":"https://openalex.org/W2790797863","doi":"https://doi.org/10.1109/icip.2017.8296816","title":"Binary hashing using siamese neural networks","display_name":"Binary hashing using siamese neural networks","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2790797863","doi":"https://doi.org/10.1109/icip.2017.8296816","mag":"2790797863"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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":false,"raw_author_name":"Abin Jose","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"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/A5044675520","display_name":"Shen Yan","orcid":"https://orcid.org/0000-0002-1415-5113"},"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":"Shen Yan","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"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/A5043078999","display_name":"Iris Heisterklaus","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":"Iris Heisterklaus","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.4509,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73994154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2916","last_page":"2920"},"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":0.9973000288009644,"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":0.996399998664856,"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/hash-function","display_name":"Hash function","score":0.8616697788238525},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.8097177743911743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481642365455627},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.724624514579773},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6498080492019653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5863447189331055},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5808111429214478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5486786961555481},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5296532511711121},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5207645297050476},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4955853223800659},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4854870140552521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44855743646621704},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4336666464805603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42600417137145996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3902271091938019},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.35762274265289307},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.12995177507400513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12890493869781494},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.08853206038475037}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8616697788238525},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.8097177743911743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481642365455627},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.724624514579773},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6498080492019653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5863447189331055},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5808111429214478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5486786961555481},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5296532511711121},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5207645297050476},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4955853223800659},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4854870140552521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44855743646621704},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4336666464805603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42600417137145996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3902271091938019},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.35762274265289307},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.12995177507400513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12890493869781494},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.08853206038475037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8296816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:718998","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-2018-221779%22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","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 : IEEE 2916-2920 (2018). doi:10.1109/ICIP.2017.8296816","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":25,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W1502916507","https://openalex.org/W1625255723","https://openalex.org/W1903029394","https://openalex.org/W1913628733","https://openalex.org/W1923967535","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1966385142","https://openalex.org/W1974647172","https://openalex.org/W1984309565","https://openalex.org/W2124386111","https://openalex.org/W2130660124","https://openalex.org/W2157364932","https://openalex.org/W2163605009","https://openalex.org/W2293597654","https://openalex.org/W2395611524","https://openalex.org/W2464915613","https://openalex.org/W2509619282","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W6608313692","https://openalex.org/W6640412524","https://openalex.org/W6684191040","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2811247857","https://openalex.org/W102859714","https://openalex.org/W4385382899","https://openalex.org/W2084899141","https://openalex.org/W2044784665","https://openalex.org/W2094127768","https://openalex.org/W1994360333","https://openalex.org/W2334522381","https://openalex.org/W2076162755","https://openalex.org/W4281890709"],"abstract_inverted_index":{"With":[0],"the":[1,8,11,54,74,80,88,101,116,122,135],"growth":[2],"in":[3,121],"multimedia":[4],"data,":[5],"it":[6,78],"is":[7,62],"need":[9],"of":[10,56,118,138],"hour":[12],"to":[13,72,127],"have":[14,133],"methods":[15,145],"for":[16,29,33,53],"efficient":[17],"storage":[18],"and":[19,66,86,146],"quick":[20],"retrieval.":[21,36],"In":[22],"this":[23],"work,":[24],"we":[25],"propose":[26],"an":[27],"approach":[28,140],"learning":[30],"binary":[31,57,95],"codes":[32,96],"fast":[34],"image":[35,84,92],"We":[37,132],"use":[38],"a":[39,50,106],"siamese":[40],"architecture":[41],"with":[42,49,112,141],"two":[43],"parallel":[44],"feed":[45],"forward":[46],"branches":[47],"but":[48],"shared":[51],"weight":[52],"generation":[55],"codes.":[58],"The":[59,69,94,110],"training":[60,111],"data":[61],"divided":[63],"into":[64],"similar":[65,83],"dissimilar":[67,91],"pairs.":[68,93],"network":[70,103],"tries":[71],"learn":[73],"weights":[75],"such":[76],"that":[77],"minimizes":[79],"distance":[81,89],"between":[82,90],"pairs":[85],"maximizes":[87],"are":[97],"formed":[98],"by":[99],"squashing":[100],"neural":[102],"output":[104,117],"through":[105],"sigmoid":[107,113],"activation":[108],"function.":[109],"hashing":[114,144],"constrains":[115],"each":[119],"node":[120],"final":[123],"fully":[124],"connected":[125],"layer":[126],"either":[128],"0":[129],"or":[130],"1.":[131],"compared":[134],"retrieval":[136],"performance":[137],"our":[139,147],"other":[142],"state-of-the-art":[143],"method":[148],"shows":[149],"significant":[150],"improvement.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}