{"id":"https://openalex.org/W4383752469","doi":"https://doi.org/10.1109/tmm.2023.3289765","title":"Deep Neighborhood Structure-Preserving Hashing for Large-Scale Image Retrieval","display_name":"Deep Neighborhood Structure-Preserving Hashing for Large-Scale Image Retrieval","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4383752469","doi":"https://doi.org/10.1109/tmm.2023.3289765"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3289765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3289765","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5091326895","display_name":"Qibing Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]},{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qibing Qin","raw_affiliation_strings":["School of Computer Engineering, Weifang University, Weifang, China","Academic Visitor of Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Weifang University, Weifang, China","institution_ids":["https://openalex.org/I66883779"]},{"raw_affiliation_string":"Academic Visitor of Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107808852","display_name":"Kezhen Xie","orcid":"https://orcid.org/0009-0008-7964-9393"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kezhen Xie","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061246177","display_name":"Wenfeng Zhang","orcid":"https://orcid.org/0009-0003-2079-993X"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Zhang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080182568","display_name":"Chengduan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengduan Wang","raw_affiliation_strings":["School of Computer Engineering, Weifang University, Weifang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Weifang University, Weifang, China","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100784430","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-4087-3677"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091326895"],"corresponding_institution_ids":["https://openalex.org/I59028903","https://openalex.org/I66883779"],"apc_list":null,"apc_paid":null,"fwci":4.9348,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96520295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"1881","last_page":"1893"},"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":0.9962000250816345,"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":0.9923999905586243,"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":0.7585328221321106},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6936997175216675},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6260524988174438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6200551390647888},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6016392707824707},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5938277840614319},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5862096548080444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5859026312828064},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5579268932342529},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.547840416431427},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.4867956340312958},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.46605807542800903},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4596213400363922},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.34734535217285156},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32902926206588745},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3243710398674011},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23395171761512756},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.23356786370277405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2322939932346344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15439802408218384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585328221321106},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6936997175216675},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6260524988174438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6200551390647888},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6016392707824707},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5938277840614319},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5862096548080444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5859026312828064},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5579268932342529},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.547840416431427},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.4867956340312958},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.46605807542800903},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4596213400363922},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.34734535217285156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32902926206588745},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3243710398674011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23395171761512756},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.23356786370277405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2322939932346344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15439802408218384},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":1,"locations":[{"id":"doi:10.1109/tmm.2023.3289765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3289765","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G3751622555","display_name":null,"funder_award_id":"ZR2022QF046","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W104847522","https://openalex.org/W1566135517","https://openalex.org/W1910300841","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2012833704","https://openalex.org/W2038276547","https://openalex.org/W2111993661","https://openalex.org/W2124386111","https://openalex.org/W2162006472","https://openalex.org/W2293824885","https://openalex.org/W2296447001","https://openalex.org/W2411707397","https://openalex.org/W2464915613","https://openalex.org/W2508837377","https://openalex.org/W2519887557","https://openalex.org/W2562322388","https://openalex.org/W2572852038","https://openalex.org/W2606377603","https://openalex.org/W2738649458","https://openalex.org/W2739981449","https://openalex.org/W2759518055","https://openalex.org/W2773163206","https://openalex.org/W2795832645","https://openalex.org/W2801086478","https://openalex.org/W2803163484","https://openalex.org/W2905957315","https://openalex.org/W2962786441","https://openalex.org/W2962817490","https://openalex.org/W2962954773","https://openalex.org/W2963213486","https://openalex.org/W2963727650","https://openalex.org/W2964280870","https://openalex.org/W2964553938","https://openalex.org/W2966218308","https://openalex.org/W3003608386","https://openalex.org/W3004085219","https://openalex.org/W3009806461","https://openalex.org/W3027918202","https://openalex.org/W3034239448","https://openalex.org/W3093981303","https://openalex.org/W3096831136","https://openalex.org/W3104374384","https://openalex.org/W3138388976","https://openalex.org/W3154992183","https://openalex.org/W3158512709","https://openalex.org/W3161321869","https://openalex.org/W3165084071","https://openalex.org/W3168997536","https://openalex.org/W3194557739","https://openalex.org/W3195929246","https://openalex.org/W3196019032","https://openalex.org/W3200699344","https://openalex.org/W3208922547","https://openalex.org/W4200234862","https://openalex.org/W4206515381","https://openalex.org/W4287078453","https://openalex.org/W4290043209","https://openalex.org/W4313153605","https://openalex.org/W6605558903","https://openalex.org/W6677953180","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6728449338","https://openalex.org/W6738979955","https://openalex.org/W6798918437","https://openalex.org/W6801929243"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W1998749283","https://openalex.org/W1554555624","https://openalex.org/W2184777945","https://openalex.org/W2921167217","https://openalex.org/W1997107867","https://openalex.org/W2000284985","https://openalex.org/W2253231004","https://openalex.org/W4212830455","https://openalex.org/W2029205712"],"abstract_inverted_index":{"Deep":[0,78],"hashing":[1,9,27,75,144,181],"integrates":[2],"the":[3,14,17,25,31,35,48,51,85,94,111,119,128,158,188],"advantages":[4],"of":[5,16,30,38],"deep":[6,26,74,180],"learning":[7,148],"and":[8,11,87,143,151],"technology,":[10],"has":[12],"become":[13],"mainstream":[15],"large-scale":[18],"image":[19,39,116],"retrieval":[20],"field.":[21],"However,":[22],"when":[23],"training":[24],"models,":[28],"most":[29],"existing":[32],"approaches":[33],"regard":[34],"similarity":[36,45,113],"margin":[37,105],"pairs":[40],"as":[41],"a":[42,71,133],"constant.":[43],"Once":[44],"distance":[46],"exceeds":[47],"fixed":[49],"margin,":[50],"network":[52],"will":[53],"not":[54],"learn":[55],"anything,":[56],"which":[57],"easily":[58],"results":[59],"in":[60,166],"model":[61],"collapses.":[62],"In":[63],"this":[64,68],"paper,":[65],"we":[66,101,131,156],"address":[67],"dilemma":[69],"with":[70,98],"novel":[72],"unified":[73],"framework,":[76],"termed":[77],"Neighborhood":[79],"Structure-preserving":[80],"Hashing":[81],"(DNSH),":[82],"to":[83,108,136,163],"generate":[84],"similarity-preserving":[86],"discriminative":[88,95],"hash":[89],"codes.":[90,145],"Specifically,":[91],"by":[92],"extracting":[93],"object":[96],"characteristics":[97],"large":[99],"variances,":[100],"design":[102],"an":[103,184],"adaptive":[104],"quadruplet":[106],"loss":[107,162],"further":[109],"explore":[110],"underlying":[112],"relationship":[114],"between":[115,140],"pairs,":[117],"reflecting":[118],"correct":[120],"semantic":[121],"structure":[122],"among":[123],"its":[124],"neighbors.":[125],"Based":[126],"on":[127,171],"quadruple":[129,134],"form,":[130],"develop":[132],"regularization":[135],"decrease":[137],"quantization":[138],"errors":[139],"binary-like":[141],"embedding":[142],"Furthermore,":[146],"through":[147],"bit":[149,152],"balance":[150],"independent":[153],"terms":[154],"jointly,":[155],"present":[157],"binary":[159],"code":[160],"constraint":[161],"alleviate":[164],"redundancy":[165],"different":[167],"bits.":[168],"Extensive":[169],"evaluations":[170],"four":[172],"popular":[173],"benchmark":[174],"datasets":[175],"demonstrate":[176],"that":[177],"our":[178],"proposed":[179],"framework":[182],"achieves":[183],"excellent":[185],"performance":[186],"than":[187],"comparison":[189],"methods.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}