{"id":"https://openalex.org/W2575051170","doi":"https://doi.org/10.1109/tip.2017.2651390","title":"Learning Short Binary Codes for Large-scale Image Retrieval","display_name":"Learning Short Binary Codes for Large-scale Image Retrieval","publication_year":2017,"publication_date":"2017-01-11","ids":{"openalex":"https://openalex.org/W2575051170","doi":"https://doi.org/10.1109/tip.2017.2651390","mag":"2575051170","pmid":"https://pubmed.ncbi.nlm.nih.gov/28092549"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2651390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2651390","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100418866","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-9121-5124"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Liu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","School of Computing Sciences, University of East Anglia, Anglia, U.K"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computing Sciences, University of East Anglia, Anglia, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103093144","display_name":"Mengyang Yu","orcid":"https://orcid.org/0000-0003-1191-429X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mengyang Yu","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","School of Computing Sciences, University of East Anglia, Anglia, U.K"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computing Sciences, University of East Anglia, Anglia, U.K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100418866"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":2.1845,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92867233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"3","first_page":"1289","last_page":"1299"},"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":0.984499990940094,"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":0.9824000000953674,"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":0.7363124489784241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217636704444885},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6634066104888916},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6598528623580933},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6054714918136597},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4613085091114044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3990173637866974},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3834688067436218},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3827144503593445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38174116611480713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3241861164569855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20619183778762817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13401514291763306},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10859131813049316}],"concepts":[{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.7363124489784241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217636704444885},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6634066104888916},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6598528623580933},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6054714918136597},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4613085091114044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3990173637866974},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3834688067436218},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3827144503593445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38174116611480713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3241861164569855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20619183778762817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13401514291763306},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10859131813049316},{"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":2,"locations":[{"id":"doi:10.1109/tip.2017.2651390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2651390","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:28092549","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28092549","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2353850810","display_name":null,"funder_award_id":"61528106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W38891395","https://openalex.org/W1685464609","https://openalex.org/W1835419070","https://openalex.org/W1904464160","https://openalex.org/W1922199343","https://openalex.org/W1923967535","https://openalex.org/W1939575207","https://openalex.org/W1947372417","https://openalex.org/W1956333070","https://openalex.org/W1964073652","https://openalex.org/W1968923698","https://openalex.org/W1969241115","https://openalex.org/W1972036246","https://openalex.org/W1972702299","https://openalex.org/W1982193706","https://openalex.org/W1982508576","https://openalex.org/W1990537115","https://openalex.org/W1992633833","https://openalex.org/W1997559607","https://openalex.org/W2000774564","https://openalex.org/W2002724208","https://openalex.org/W2008277111","https://openalex.org/W2012833704","https://openalex.org/W2016053056","https://openalex.org/W2018398888","https://openalex.org/W2025432722","https://openalex.org/W2027922120","https://openalex.org/W2029257328","https://openalex.org/W2031096531","https://openalex.org/W2040918046","https://openalex.org/W2049993534","https://openalex.org/W2074668987","https://openalex.org/W2080955644","https://openalex.org/W2084363474","https://openalex.org/W2097018403","https://openalex.org/W2113673182","https://openalex.org/W2121378474","https://openalex.org/W2121713321","https://openalex.org/W2123229215","https://openalex.org/W2123432324","https://openalex.org/W2128659236","https://openalex.org/W2129812935","https://openalex.org/W2130342593","https://openalex.org/W2137434377","https://openalex.org/W2142881874","https://openalex.org/W2144530948","https://openalex.org/W2145607950","https://openalex.org/W2145947562","https://openalex.org/W2149620660","https://openalex.org/W2154956324","https://openalex.org/W2167451801","https://openalex.org/W2191878551","https://openalex.org/W2213253086","https://openalex.org/W2215369824","https://openalex.org/W2251864938","https://openalex.org/W2266728343","https://openalex.org/W2276199106","https://openalex.org/W2287105829","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2296457436","https://openalex.org/W2308045930","https://openalex.org/W2313845729","https://openalex.org/W2343306217","https://openalex.org/W2411707397","https://openalex.org/W2476238768","https://openalex.org/W2950220902","https://openalex.org/W2963374468","https://openalex.org/W2964076257","https://openalex.org/W4230940751","https://openalex.org/W6637461618","https://openalex.org/W6640412524","https://openalex.org/W6674642818","https://openalex.org/W6678291700","https://openalex.org/W6681077227","https://openalex.org/W6681822384","https://openalex.org/W6688759320","https://openalex.org/W6691474080","https://openalex.org/W6693341220","https://openalex.org/W6696527261","https://openalex.org/W6696891034","https://openalex.org/W6697214482","https://openalex.org/W6715177018","https://openalex.org/W6721224638"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W4200200221","https://openalex.org/W2984143580","https://openalex.org/W2995523806","https://openalex.org/W3025709990"],"abstract_inverted_index":{"Large-scale":[0],"visual":[1],"information":[2],"retrieval":[3,25,49,75,121,182],"has":[4],"become":[5],"an":[6],"active":[7],"research":[8],"area":[9],"in":[10],"this":[11,89],"big":[12],"data":[13],"era.":[14],"Recently,":[15],"hashing/binary":[16],"coding":[17],"algorithms":[18,194],"prove":[19],"to":[20,46,77,153,170,201],"be":[21,70],"effective":[22],"for":[23,52,72,103,118,140],"scalable":[24,119],"applications.":[26],"Most":[27],"existing":[28],"hashing":[29,96,193],"methods":[30],"require":[31],"relatively":[32],"long":[33],"binary":[34,67,107,138,175],"codes":[35,68,108],"(i.e.,":[36,109],"over":[37],"hundreds":[38],"of":[39,44,80,128,131,149],"bits,":[40],"sometimes":[41],"even":[42],"thousands":[43],"bits)":[45],"achieve":[47,187],"reasonable":[48],"accuracies.":[50],"However,":[51],"some":[53],"realistic":[54],"and":[55,143,167],"unique":[56],"applications,":[57],"such":[58],"as":[59,190],"on":[60,85,180],"wearable":[61],"or":[62,83],"mobile":[63],"devices,":[64],"only":[65],"short":[66,106],"can":[69,134,186],"used":[71],"efficient":[73],"image":[74,120],"due":[76],"the":[78,111,125,146,154,172,191],"limitation":[79],"computational":[81],"resources":[82],"bandwidth":[84],"these":[86],"devices.":[87],"In":[88],"paper,":[90],"we":[91],"propose":[92],"a":[93],"novel":[94],"unsupervised":[95],"approach":[97],"called":[98],"min-cost":[99],"ranking":[100],"(MCR)":[101],"specifically":[102],"learning":[104],"powerful":[105],"usually":[110],"code":[112,139],"length":[113],"shorter":[114,198],"than":[115],"100":[116],"b)":[117],"tasks.":[122],"By":[123],"exploring":[124],"discriminative":[126,147],"ability":[127],"each":[129,141,150],"dimension":[130,142],"data,":[132],"MCR":[133,185],"generate":[135],"one":[136],"bit":[137,151],"simultaneously":[144],"rank":[145],"separability":[148],"according":[152],"proposed":[155],"cost":[156],"function.":[157],"Only":[158],"top-ranked":[159],"bits":[160],"with":[161,196],"minimum":[162],"cost-values":[163],"are":[164],"then":[165],"selected":[166],"grouped":[168],"together":[169],"compose":[171],"final":[173],"salient":[174],"codes.":[176],"Extensive":[177],"experimental":[178],"results":[179],"large-scale":[181,204],"demonstrate":[183],"that":[184],"comparative":[188],"performance":[189],"state-of-the-art":[192],"but":[195],"significantly":[197],"codes,":[199],"leading":[200],"much":[202],"faster":[203],"retrieval.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
