{"id":"https://openalex.org/W2061441693","doi":"https://doi.org/10.1145/2348283.2348293","title":"Manhattan hashing for large-scale image retrieval","display_name":"Manhattan hashing for large-scale image retrieval","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2061441693","doi":"https://doi.org/10.1145/2348283.2348293","mag":"2061441693"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","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/A5102024430","display_name":"Weihao Kong","orcid":"https://orcid.org/0000-0002-0047-9811"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weihao Kong","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402002","display_name":"Wu-Jun Li","orcid":"https://orcid.org/0000-0003-2499-4006"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu-Jun Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318240","display_name":"Minyi Guo","orcid":"https://orcid.org/0000-0003-0034-2302"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minyi Guo","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102024430"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":10.1583,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98601512,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"54"},"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":0.9911999702453613,"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":0.9847000241279602,"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/hamming-distance","display_name":"Hamming distance","score":0.7861009836196899},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.7683290243148804},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6561235189437866},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6398536562919617},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6367001533508301},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.6124192476272583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070857048034668},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.595896303653717},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5849448442459106},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5707729458808899},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5493823289871216},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.5044213533401489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4946996867656708},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4734092652797699},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.446767657995224},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41484397649765015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37785717844963074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3383699953556061},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.3292944133281708},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3153456747531891},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3123915195465088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30546340346336365},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.13716617226600647},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.09580942988395691}],"concepts":[{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.7861009836196899},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.7683290243148804},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6561235189437866},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6398536562919617},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6367001533508301},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.6124192476272583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070857048034668},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.595896303653717},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5849448442459106},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5707729458808899},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5493823289871216},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.5044213533401489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4946996867656708},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4734092652797699},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.446767657995224},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41484397649765015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37785717844963074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3383699953556061},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.3292944133281708},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3153456747531891},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3123915195465088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30546340346336365},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.13716617226600647},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.09580942988395691},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2348283.2348293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1489843519","https://openalex.org/W1491105865","https://openalex.org/W1502916507","https://openalex.org/W1556531089","https://openalex.org/W1566135517","https://openalex.org/W1835419070","https://openalex.org/W1883985887","https://openalex.org/W1978394996","https://openalex.org/W1981053739","https://openalex.org/W1982193706","https://openalex.org/W1987040325","https://openalex.org/W2019076926","https://openalex.org/W2019214064","https://openalex.org/W2038276547","https://openalex.org/W2044195942","https://openalex.org/W2064797228","https://openalex.org/W2067766814","https://openalex.org/W2084041574","https://openalex.org/W2084363474","https://openalex.org/W2088866137","https://openalex.org/W2104208555","https://openalex.org/W2112076978","https://openalex.org/W2116064496","https://openalex.org/W2121713321","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2144892774","https://openalex.org/W2145607950","https://openalex.org/W2151368806","https://openalex.org/W2154956324","https://openalex.org/W2158169729","https://openalex.org/W2161160262","https://openalex.org/W2162006472","https://openalex.org/W2162670057","https://openalex.org/W2164338181","https://openalex.org/W2166563371","https://openalex.org/W2171790913","https://openalex.org/W2221852422","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2913932916","https://openalex.org/W3099514962","https://openalex.org/W4250446904","https://openalex.org/W4251572646","https://openalex.org/W4292023222","https://openalex.org/W6629956336","https://openalex.org/W6639288426","https://openalex.org/W6676769703","https://openalex.org/W6682533845","https://openalex.org/W6684181414","https://openalex.org/W6688844344","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6758860047","https://openalex.org/W6776535907"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W2184777945","https://openalex.org/W1870428314","https://openalex.org/W2963563740","https://openalex.org/W2951390818","https://openalex.org/W2981938443","https://openalex.org/W1554555624","https://openalex.org/W2029205712","https://openalex.org/W2962718115","https://openalex.org/W4212830455"],"abstract_inverted_index":{"Hashing":[0],"is":[1,76,103,108,124,150,179],"used":[2,35],"to":[3,22,59,110,125,166,183,200],"learn":[4],"binary-code":[5],"representation":[6],"for":[7,36,152,189],"data":[8,165,196],"with":[9,73,130,187],"expectation":[10],"of":[11,45,94,114,122,133,170,175],"preserving":[12],"the":[13,17,61,67,81,85,91,112,141,147,160,164,168,173,180],"neighborhood":[14,82,161],"structure":[15,83,162],"in":[16,41,66,84,146,163],"original":[18,86],"feature":[19,87],"space.":[20,69],"Due":[21],"its":[23],"fast":[24],"query":[25],"speed":[26],"and":[27,49],"reduced":[28],"storage":[29],"cost,":[30],"hashing":[31,54,100],"has":[32],"been":[33],"widely":[34],"efficient":[37],"nearest":[38,153],"neighbor":[39,154],"search":[40],"a":[42],"large":[43],"variety":[44],"applications":[46],"like":[47],"text":[48],"image":[50,195],"retrieval.":[51],"Most":[52],"existing":[53],"methods":[55],"adopt":[56,184],"Hamming":[57,74,115],"distance":[58,75,116,143,186],"measure":[60],"similarity":[62],"(neighborhood)":[63],"between":[64,144],"points":[65,145,203],"hashcode":[68,148],"However,":[70],"one":[71,201],"problem":[72,113],"that":[77,205],"it":[78],"may":[79],"destroy":[80],"space,":[88],"which":[89,102,140],"violates":[90],"essential":[92],"goal":[93,169],"hashing.":[95,118,171,190],"In":[96],"this":[97,178],"paper,":[98],"Manhattan":[99,106,142,185],"(MH),":[101],"based":[104,117,138],"on":[105,139,192],"distance,":[107],"proposed":[109],"solve":[111],"The":[119],"basic":[120],"idea":[121],"MH":[123,156,207],"encode":[126],"each":[127],"projected":[128],"dimension":[129],"multiple":[131],"bits":[132],"natural":[134],"binary":[135],"code":[136],"(NBC),":[137],"space":[149],"calculated":[151],"search.":[155],"can":[157,209],"effectively":[158],"preserve":[159],"achieve":[167],"To":[172],"best":[174],"our":[176,206],"knowledge,":[177],"first":[181],"work":[182],"NBC":[188],"Experiments":[191],"several":[193],"large-scale":[194],"sets":[197],"containing":[198],"up":[199],"million":[202],"show":[204],"method":[208],"significantly":[210],"outperform":[211],"other":[212],"state-of-the-art":[213],"methods.":[214]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}