{"id":"https://openalex.org/W3096005896","doi":"https://doi.org/10.1109/tcsvt.2020.3035775","title":"Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering","display_name":"Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering","publication_year":2020,"publication_date":"2020-11-04","ids":{"openalex":"https://openalex.org/W3096005896","doi":"https://doi.org/10.1109/tcsvt.2020.3035775","mag":"3096005896"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3035775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3035775","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101961088","display_name":"Xiao Dong","orcid":"https://orcid.org/0000-0001-9519-612X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Dong","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-9519-612X","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418866","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-9121-5124"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2993-7142","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068843001","display_name":"Zhiyong Cheng","orcid":"https://orcid.org/0000-0003-1109-5028"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Cheng","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1109-5028","affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113755120","display_name":"Huaxiang Zhang","orcid":"https://orcid.org/0000-0001-6259-7533"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiang Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-6259-7533","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2042,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.89990615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"31","issue":"8","first_page":"3266","last_page":"3277"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9872999787330627,"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":0.7637478113174438},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6976115703582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6940629482269287},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6860790848731995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6566367745399475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6532027125358582},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5662693977355957},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.489881694316864},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4243738055229187},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.42358842492103577},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.41494932770729065},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.39883601665496826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35641801357269287},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.3005310297012329},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2644345760345459},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.23828214406967163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16452354192733765}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7637478113174438},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6976115703582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940629482269287},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6860790848731995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6566367745399475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6532027125358582},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5662693977355957},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.489881694316864},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4243738055229187},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.42358842492103577},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.41494932770729065},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.39883601665496826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35641801357269287},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.3005310297012329},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2644345760345459},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.23828214406967163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16452354192733765},{"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/tcsvt.2020.3035775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3035775","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1763743730","display_name":null,"funder_award_id":"U1836216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G62463823","display_name":null,"funder_award_id":"62076153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7009357455","display_name":null,"funder_award_id":"61772322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8827687372","display_name":null,"funder_award_id":"ts20190924","funder_id":"https://openalex.org/F4320326189","funder_display_name":"Taishan Scholar Project of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326189","display_name":"Taishan Scholar Project of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1902027874","https://openalex.org/W1910300841","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1979089718","https://openalex.org/W2007972815","https://openalex.org/W2012833704","https://openalex.org/W2038276547","https://openalex.org/W2044195942","https://openalex.org/W2063123441","https://openalex.org/W2073301055","https://openalex.org/W2075547840","https://openalex.org/W2080017547","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2114153178","https://openalex.org/W2118718620","https://openalex.org/W2121713321","https://openalex.org/W2130055251","https://openalex.org/W2135029798","https://openalex.org/W2150735108","https://openalex.org/W2152322845","https://openalex.org/W2155803963","https://openalex.org/W2164338181","https://openalex.org/W2169658215","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2338972621","https://openalex.org/W2402125293","https://openalex.org/W2411707397","https://openalex.org/W2461086877","https://openalex.org/W2519631826","https://openalex.org/W2522148122","https://openalex.org/W2533545350","https://openalex.org/W2554234430","https://openalex.org/W2586937979","https://openalex.org/W2598003564","https://openalex.org/W2605170010","https://openalex.org/W2605182906","https://openalex.org/W2606348288","https://openalex.org/W2739981449","https://openalex.org/W2741943936","https://openalex.org/W2770051797","https://openalex.org/W2771872884","https://openalex.org/W2773022577","https://openalex.org/W2781821509","https://openalex.org/W2793456900","https://openalex.org/W2808282156","https://openalex.org/W2895749405","https://openalex.org/W2896239774","https://openalex.org/W2912584497","https://openalex.org/W2913932916","https://openalex.org/W2920852583","https://openalex.org/W2950244530","https://openalex.org/W2954487216","https://openalex.org/W2963173190","https://openalex.org/W2963195326","https://openalex.org/W2963634791","https://openalex.org/W2964074409","https://openalex.org/W2967862025","https://openalex.org/W2970518483","https://openalex.org/W2981076146","https://openalex.org/W3004515817","https://openalex.org/W3008014442","https://openalex.org/W3118608800","https://openalex.org/W3121769020","https://openalex.org/W3123256893","https://openalex.org/W4230940751","https://openalex.org/W6641061663","https://openalex.org/W6677238981","https://openalex.org/W6677759377","https://openalex.org/W6678291700","https://openalex.org/W6684181414","https://openalex.org/W6685380521","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6712733126","https://openalex.org/W6728550200","https://openalex.org/W6736183147","https://openalex.org/W6736239695","https://openalex.org/W6736575690","https://openalex.org/W6745885590","https://openalex.org/W6746766931","https://openalex.org/W6758894599","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1870428314","https://openalex.org/W2921167217","https://openalex.org/W2086731314","https://openalex.org/W4212830455","https://openalex.org/W2000284985","https://openalex.org/W2158169729","https://openalex.org/W2088296667","https://openalex.org/W2058116810","https://openalex.org/W2415956510","https://openalex.org/W2444115989"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"show":[2],"that":[3],"hashing":[4,35],"technology":[5],"can":[6],"achieve":[7],"efficient":[8],"similarity":[9],"searching":[10],"and":[11,44,69,84,93,139],"many":[12],"works":[13],"have":[14],"been":[15],"done":[16],"on":[17,38,130],"supervised":[18],"deep":[19],"hash":[20,86,101,118],"learning.":[21],"However,":[22],"under":[23,103],"unsupervised":[24],"scenarios,":[25],"there":[26],"are":[27,120],"several":[28],"issues":[29],"to":[30,61,98],"be":[31],"solved":[32],"when":[33],"learning":[34,74],"codes":[36,87,102,119],"based":[37],"visual":[39],"features":[40],"for":[41,111,136],"image":[42,67,113,126,137],"retrieval":[43,68,138],"clustering.":[45,140],"In":[46],"this":[47],"article,":[48],"we":[49],"propose":[50],"a":[51,72],"simple":[52],"but":[53],"effective":[54,112],"Unsupervised":[55],"Deep":[56],"K-means":[57,97],"Hashing":[58],"(UDKH)":[59],"method":[60],"simultaneously":[62],"alleviate":[63],"the":[64,79,95,104,107,116,125],"problems":[65],"of":[66,81,106],"clustering":[70,127],"within":[71],"single":[73],"framework.":[75],"UDKH":[76,122],"progressively":[77],"improves":[78,124],"quality":[80],"cluster":[82,109],"labels":[83,110],"binary":[85,96],"by":[88],"minimizing":[89],"pair-wise":[90],"supervision":[91,105],"loss":[92],"optimizing":[94],"generate":[99],"discriminative":[100],"learned":[108,117],"retrieval.":[114],"Since":[115],"discriminative,":[121],"also":[123],"accuracy.":[128],"Experiments":[129],"test":[131],"datasets":[132],"demonstrate":[133],"its":[134],"effectiveness":[135]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}