{"id":"https://openalex.org/W2000284985","doi":"https://doi.org/10.1109/icme.2014.6890219","title":"Scalable forest hashing for fast similarity search","display_name":"Scalable forest hashing for fast similarity search","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2000284985","doi":"https://doi.org/10.1109/icme.2014.6890219","mag":"2000284985"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003400275","display_name":"Gang Yu","orcid":"https://orcid.org/0000-0001-5570-2710"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gang Yu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7324-7034"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9977999925613403,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9936000108718872,"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/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.832999587059021},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.7737032771110535},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.7653450965881348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7569180727005005},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.736941933631897},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.7252888679504395},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7213137745857239},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6865178346633911},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5911939144134521},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5888708829879761},{"id":"https://openalex.org/keywords/consistent-hashing","display_name":"Consistent hashing","score":0.5613540410995483},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5352028012275696},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5284221768379211},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.49249228835105896},{"id":"https://openalex.org/keywords/ternary-search-tree","display_name":"Ternary search tree","score":0.4643191993236542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44190725684165955},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41074544191360474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28610438108444214},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.25485873222351074},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.23182663321495056},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.21733185648918152},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20617157220840454},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16638049483299255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13232290744781494}],"concepts":[{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.832999587059021},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.7737032771110535},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.7653450965881348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569180727005005},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.736941933631897},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.7252888679504395},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7213137745857239},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6865178346633911},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5911939144134521},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5888708829879761},{"id":"https://openalex.org/C56856351","wikidata":"https://www.wikidata.org/wiki/Q1757218","display_name":"Consistent hashing","level":5,"score":0.5613540410995483},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5352028012275696},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5284221768379211},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.49249228835105896},{"id":"https://openalex.org/C136519935","wikidata":"https://www.wikidata.org/wiki/Q2859802","display_name":"Ternary search tree","level":5,"score":0.4643191993236542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44190725684165955},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41074544191360474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28610438108444214},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.25485873222351074},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.23182663321495056},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.21733185648918152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20617157220840454},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16638049483299255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13232290744781494},{"id":"https://openalex.org/C84927040","wikidata":"https://www.wikidata.org/wiki/Q6057306","display_name":"Interval tree","level":4,"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2014.6890219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1556531089","https://openalex.org/W1969241115","https://openalex.org/W1982193706","https://openalex.org/W1990537115","https://openalex.org/W2000397583","https://openalex.org/W2007972815","https://openalex.org/W2041571997","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2097921974","https://openalex.org/W2097947185","https://openalex.org/W2099253838","https://openalex.org/W2110990863","https://openalex.org/W2121713321","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2164338181","https://openalex.org/W2165558283","https://openalex.org/W2165888865","https://openalex.org/W2171700594","https://openalex.org/W2293597654","https://openalex.org/W3106512200","https://openalex.org/W6629956336","https://openalex.org/W6633472159","https://openalex.org/W6674878074","https://openalex.org/W6678291700","https://openalex.org/W6678556256","https://openalex.org/W6684180922","https://openalex.org/W6684181414","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2076162755","https://openalex.org/W2334522381","https://openalex.org/W4385382899","https://openalex.org/W2184777945","https://openalex.org/W2811247857","https://openalex.org/W2000284985","https://openalex.org/W2893252848","https://openalex.org/W220637603","https://openalex.org/W39687211","https://openalex.org/W2100189723"],"abstract_inverted_index":{"Indexing":[0],"images":[1],"and":[2],"videos":[3],"using":[4],"binary":[5],"hash":[6,22,35,78],"bits":[7],"has":[8],"shown":[9],"promising":[10],"results":[11,126],"for":[12,111],"fast":[13],"similarity":[14],"search.":[15],"Existing":[16],"datadriven":[17],"hashing":[18,47,73,82,106,131],"methods":[19],"learn":[20],"compact":[21],"codes":[23],"from":[24],"the":[25,30,39,63,72,92,102,129],"data,":[26],"but":[27,100],"usually":[28],"with":[29,95,128],"cost":[31],"of":[32,66],"generating":[33,76],"unbalanced":[34],"buckets,":[36],"thus":[37],"affecting":[38],"search":[40,113],"efficiency.":[41],"We":[42],"propose":[43],"a":[44,96],"novel":[45],"data-driven":[46],"method":[48],"called":[49],"forest":[50,81,105],"hashing,":[51],"which":[52],"utilizes":[53],"multiple":[54],"tree":[55],"structures":[56],"to":[57],"perform":[58],"data":[59],"hashing.":[60],"By":[61],"leveraging":[62],"index":[64],"structure":[65],"trees,":[67],"we":[68],"can":[69,90,107],"significantly":[70],"improve":[71,91],"efficacy":[74],"by":[75,114],"balanced":[77],"buckets.":[79],"Moreover,":[80],"naturally":[83],"supports":[84],"scalable":[85],"coding":[86,93],"where":[87],"more":[88],"trees":[89],"quality":[94],"longer":[97],"code.":[98],"Last":[99],"not":[101],"least,":[103],"our":[104],"be":[108],"easily":[109],"extended":[110],"semantic":[112],"integrating":[115],"semi-supervised":[116],"label":[117],"information.":[118],"Experiments":[119],"on":[120],"two":[121],"benchmark":[122],"datasets":[123],"show":[124],"favorable":[125],"compared":[127],"state-of-the-art":[130],"methods.":[132]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
