{"id":"https://openalex.org/W2128264515","doi":"https://doi.org/10.1109/icme.2011.6011893","title":"Fast visual word quantization via spatial neighborhood boosting","display_name":"Fast visual word quantization via spatial neighborhood boosting","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2128264515","doi":"https://doi.org/10.1109/icme.2011.6011893","mag":"2128264515"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2011.6011893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2011.6011893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Multimedia and Expo","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/A5110033649","display_name":"Ruixin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Xu","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675323","display_name":"Miaojing Shi","orcid":"https://orcid.org/0000-0002-4933-0073"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaojing Shi","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113622064","display_name":"Bo Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Geng","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050543156","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-2759-6364"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, (Ministry of Education), Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4756,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62984831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":1.0,"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":1.0,"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":0.9983999729156494,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7709923982620239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7141421437263489},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.6928130984306335},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6730466485023499},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5975606441497803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5945147275924683},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5049479603767395},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.47372904419898987},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4611636996269226},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4473942816257477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44544804096221924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4274711608886719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3148665428161621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14899682998657227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709923982620239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7141421437263489},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.6928130984306335},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6730466485023499},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5975606441497803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5945147275924683},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5049479603767395},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.47372904419898987},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4611636996269226},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4473942816257477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44544804096221924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4274711608886719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3148665428161621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14899682998657227},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2011.6011893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2011.6011893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1627400044","https://openalex.org/W2049644877","https://openalex.org/W2050782125","https://openalex.org/W2062879799","https://openalex.org/W2096077837","https://openalex.org/W2099111195","https://openalex.org/W2099253838","https://openalex.org/W2100398441","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2133671054","https://openalex.org/W2141362318","https://openalex.org/W2147007902","https://openalex.org/W2147237076","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2154952031","https://openalex.org/W2162006472","https://openalex.org/W2162915993","https://openalex.org/W2170605888","https://openalex.org/W2427881153","https://openalex.org/W4247915583","https://openalex.org/W6633472159","https://openalex.org/W6636759986","https://openalex.org/W6682717316","https://openalex.org/W6684723771"],"related_works":["https://openalex.org/W2158102958","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2086564093","https://openalex.org/W2947282851","https://openalex.org/W3043037362","https://openalex.org/W4239790437","https://openalex.org/W2776636962"],"abstract_inverted_index":{"With":[0],"the":[1,49,56,62,76,82,94,115,132,139],"rapid":[2],"development":[3],"of":[4,51,84,98,102,118,137,143],"bag-of-visual-word":[5],"model":[6],"and":[7,36,60,141],"its":[8],"wide-spread":[9],"applications":[10],"in":[11,55,93],"various":[12],"computer":[13],"vision":[14],"problems":[15],"such":[16],"as":[17,106],"visual":[18,25,57,88,144],"recognition,":[19],"image":[20,52,127],"retrieval":[21,128],"tasks,":[22],"etc.,":[23],"fast":[24],"word":[26,145],"assignment":[27],"becomes":[28],"increasingly":[29],"important,":[30],"especially":[31],"for":[32,66],"some":[33],"on-line":[34],"services":[35],"large":[37,100],"scale":[38],"settings.":[39],"The":[40,87],"conventional":[41],"approximate":[42,116],"nearest":[43],"neighbor":[44],"mapping":[45,63,117],"techniques":[46],"purely":[47],"consider":[48],"distribution":[50],"local":[53,96,120],"descriptors":[54],"feature":[58,85],"space":[59],"perform":[61],"process":[64],"independently":[65],"each":[67],"descriptor.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"propose":[73],"to":[74,80,113],"involve":[75],"spatial":[77,107],"correlation":[78],"information":[79],"boost":[81,114],"efficiency":[83,140],"quantization.":[86],"words":[89],"that":[90],"frequently":[91],"co-occur":[92],"same":[95],"region":[97],"a":[99,125],"number":[101],"images":[103],"are":[104],"considered":[105],"neighborhoods,":[108],"which":[109],"can":[110],"be":[111],"leveraged":[112],"neighbored":[119],"descriptors.":[121],"Experimental":[122],"results":[123],"on":[124],"well-known":[126],"dataset":[129],"demonstrate":[130],"that,":[131],"proposed":[133],"method":[134],"is":[135],"capable":[136],"improving":[138],"precision":[142],"assignment.":[146]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
