{"id":"https://openalex.org/W2292992741","doi":"https://doi.org/10.1109/cvpr.2012.6248024","title":"Spherical hashing","display_name":"Spherical hashing","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2292992741","doi":"https://doi.org/10.1109/cvpr.2012.6248024","mag":"2292992741"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6248024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5029469141","display_name":"Jae\u2010Pil Heo","orcid":"https://orcid.org/0000-0001-9684-7641"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae-Pil Heo","raw_affiliation_strings":["KAIST, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048121389","display_name":"Youngwoon Lee","orcid":"https://orcid.org/0000-0001-9011-0921"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngwoon Lee","raw_affiliation_strings":["KAIST, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101252047","display_name":"Junfeng He","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junfeng He","raw_affiliation_strings":["Columbia University, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112505103","display_name":"Shih-Fu Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Columbia University, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078173428","display_name":"Sung\u2010Eui Yoon","orcid":"https://orcid.org/0000-0002-7123-1119"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Eui Yoon","raw_affiliation_strings":["KAIST, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029469141"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":35.824,"has_fulltext":false,"cited_by_count":381,"citation_normalized_percentile":{"value":0.99835118,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2957","last_page":"2964"},"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":0.993399977684021,"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":0.9866999983787537,"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":0.7473922371864319},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.7192561626434326},{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.7006044387817383},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6980617642402649},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.6781163215637207},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6516337394714355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5997253060340881},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.563330352306366},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5521848201751709},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.5495783090591431},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4650743007659912},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.4496666193008423},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.43749117851257324},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.43520963191986084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41290369629859924},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.40713635087013245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39776524901390076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3976466655731201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2938990592956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26882296800613403},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.18771451711654663}],"concepts":[{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.7473922371864319},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.7192561626434326},{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.7006044387817383},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6980617642402649},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.6781163215637207},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6516337394714355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997253060340881},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.563330352306366},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5521848201751709},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.5495783090591431},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4650743007659912},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.4496666193008423},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.43749117851257324},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.43520963191986084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41290369629859924},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.40713635087013245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39776524901390076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3976466655731201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2938990592956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26882296800613403},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.18771451711654663},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6248024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1516189574","https://openalex.org/W1566135517","https://openalex.org/W1898304433","https://openalex.org/W1969241115","https://openalex.org/W1982193706","https://openalex.org/W1994655805","https://openalex.org/W2003558525","https://openalex.org/W2024668293","https://openalex.org/W2044195942","https://openalex.org/W2054557822","https://openalex.org/W2055906546","https://openalex.org/W2084363474","https://openalex.org/W2110449999","https://openalex.org/W2111993661","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2146782477","https://openalex.org/W2147717514","https://openalex.org/W2154931799","https://openalex.org/W2154956324","https://openalex.org/W2162006472","https://openalex.org/W2162881463","https://openalex.org/W2171790913","https://openalex.org/W4230940751","https://openalex.org/W6678556256","https://openalex.org/W6682887809","https://openalex.org/W6682911310","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W1870428314","https://openalex.org/W2000284985","https://openalex.org/W2054549325","https://openalex.org/W2058196845","https://openalex.org/W2962718115","https://openalex.org/W2734476764","https://openalex.org/W2480775723","https://openalex.org/W2150735108","https://openalex.org/W2029205712","https://openalex.org/W2292992741"],"abstract_inverted_index":{"Many":[0],"binary":[1,73,85,98],"code":[2,74,86],"encoding":[3],"schemes":[4],"based":[5,139],"on":[6,140],"hashing":[7,41,50,60,78,122,131,137],"have":[8],"been":[9],"actively":[10],"studied":[11],"recently,":[12],"since":[13],"they":[14],"can":[15],"provide":[16],"efficient":[17,104],"similarity":[18],"search,":[19,23],"especially":[20],"nearest":[21],"neighbor":[22],"and":[24,101,119,162,194],"compact":[25],"data":[26,45,69,113],"representations":[27],"suitable":[28],"for":[29,115],"handling":[30],"large":[31],"scale":[32],"image":[33,144],"databases":[34],"in":[35,179,186],"many":[36],"computer":[37],"vision":[38],"problems.":[39],"Existing":[40],"techniques":[42,138],"encode":[43,183],"high-dimensional":[44,187],"points":[46,70,114],"by":[47],"using":[48,180],"hyperplane-based":[49,77],"functions.":[51,79,123],"In":[52],"this":[53],"paper":[54],"we":[55,81],"propose":[56,82],"a":[57,72,83],"novel":[58],"hypersphere-based":[59,97],"function,":[61,88],"spherical":[62,89,130],"hashing,":[63],"to":[64,76,95,108,151,165,182,196],"map":[65],"more":[66],"spatially":[67],"coherent":[68],"into":[71],"compared":[75],"Furthermore,":[80],"new":[84],"distance":[87],"Hamming":[90],"distance,":[91],"that":[92,128],"is":[93,192],"tailored":[94],"our":[96,129,190],"coding":[99],"scheme,":[100],"design":[102],"an":[103],"iterative":[105],"optimization":[106],"process":[107],"achieve":[109],"balanced":[110],"partitioning":[111],"of":[112,146,154,175],"each":[116],"hash":[117],"function":[118],"independence":[120],"between":[121],"Our":[124],"extensive":[125],"experiments":[126],"show":[127],"technique":[132],"significantly":[133],"outperforms":[134],"six":[135],"state-of-the-art":[136],"hyperplanes":[141],"across":[142],"various":[143],"benchmarks":[145],"sizes":[147],"ranging":[148],"from":[149],"one":[150],"75":[152],"million":[153],"GIST":[155],"descriptors.":[156],"The":[157,168],"performance":[158],"gains":[159],"are":[160],"consistent":[161],"large,":[163],"up":[164],"100%":[166],"improvements.":[167],"excellent":[169],"results":[170],"confirm":[171],"the":[172,176],"unique":[173],"merits":[174],"proposed":[177],"idea":[178],"hyperspheres":[181],"proximity":[184],"regions":[185],"spaces.":[188],"Finally,":[189],"method":[191],"intuitive":[193],"easy":[195],"implement.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":39},{"year":2018,"cited_by_count":41},{"year":2017,"cited_by_count":64},{"year":2016,"cited_by_count":34},{"year":2015,"cited_by_count":60},{"year":2014,"cited_by_count":35},{"year":2013,"cited_by_count":30},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}