{"id":"https://openalex.org/W2143289312","doi":"https://doi.org/10.1109/mmsp.2009.5293324","title":"High-entropy Hamming embedding of local image descriptors using random projections","display_name":"High-entropy Hamming embedding of local image descriptors using random projections","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2143289312","doi":"https://doi.org/10.1109/mmsp.2009.5293324","mag":"2143289312"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2009.5293324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2009.5293324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Workshop on Multimedia Signal Processing","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/A5113684762","display_name":"A. V. Sibiryakov","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alexa Sibiryakov","raw_affiliation_strings":["Mitsubishi Electric Research Centre Europe, Guildford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Centre Europe, Guildford, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5113684762"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21748674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9929999709129333,"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":0.684191882610321},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.5474368929862976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545894980430603},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5407810807228088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4944498538970947},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.4752195477485657},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4714181125164032},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4524681270122528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38698673248291016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3180777430534363},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08662134408950806}],"concepts":[{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.684191882610321},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.5474368929862976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545894980430603},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5407810807228088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4944498538970947},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.4752195477485657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4714181125164032},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4524681270122528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38698673248291016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3180777430534363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08662134408950806},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2009.5293324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2009.5293324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1985123706","https://openalex.org/W1990081995","https://openalex.org/W2012833704","https://openalex.org/W2034335158","https://openalex.org/W2051068139","https://openalex.org/W2063813642","https://openalex.org/W2122015342","https://openalex.org/W2128017662","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2154956324","https://openalex.org/W2156106197","https://openalex.org/W2156854610","https://openalex.org/W2293597654","https://openalex.org/W3160851792","https://openalex.org/W4230940751","https://openalex.org/W4243684731","https://openalex.org/W6682859902"],"related_works":["https://openalex.org/W2371167013","https://openalex.org/W2182731056","https://openalex.org/W2613408642","https://openalex.org/W1519122282","https://openalex.org/W4235868261","https://openalex.org/W2140899540","https://openalex.org/W4380994333","https://openalex.org/W2158117886","https://openalex.org/W3203349595","https://openalex.org/W2998312549"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,10,32,41,109,132],"method":[3],"of":[4,13,34,43,72,77,96,104,123],"transforming":[5],"local":[6],"image":[7],"descriptors":[8,28],"into":[9],"compact":[11],"form":[12],"bit-sequences":[14],"whose":[15],"similarity":[16],"is":[17,99],"determined":[18],"by":[19,130],"Hamming":[20,78],"distance.":[21],"Following":[22],"the":[23,27,82,86,94,97,102,105,121,124,137],"locality-sensitive":[24],"hashing":[25],"approach,":[26],"are":[29,38],"projected":[30],"on":[31,60],"set":[33,42],"random":[35,48,62],"directions":[36],"that":[37,56,120],"learned":[39,47],"from":[40,136],"non-matching":[44],"data.":[45],"The":[46],"projections":[49,63],"result":[50],"in":[51,64,85],"high-entropy":[52],"binary":[53],"codes":[54,58],"(HE2)":[55],"outperform":[57],"based":[59],"standard":[61],"match/non-match":[65],"classification":[66,87],"and":[67,75,118],"nearest":[68,90],"neighbor":[69,91],"search.":[70],"Despite":[71],"data":[73],"compression":[74],"granularity":[76],"space,":[79],"HE2-descriptor":[80,98],"outperforms":[81],"original":[83,106,125],"descriptor":[84,126,138],"task.":[88],"In":[89],"search":[92],"task,":[93],"performance":[95,103,122],"asymptotic":[100],"to":[101],"descriptor.":[107],"As":[108],"supporting":[110],"result,":[111],"we":[112],"obtain":[113],"another":[114],"descriptor,":[115],"HE2+":[116],"1,":[117],"demonstrate":[119],"can":[127],"be":[128],"improved":[129],"adding":[131],"few":[133],"bits":[134],"derived":[135],"itself.":[139]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
