{"id":"https://openalex.org/W2342980211","doi":"https://doi.org/10.1109/vcip.2015.7457868","title":"Improving VLAD with regional PCA whitening","display_name":"Improving VLAD with regional PCA whitening","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2342980211","doi":"https://doi.org/10.1109/vcip.2015.7457868","mag":"2342980211"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2015.7457868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","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/A5040970892","display_name":"Mingmin Zhen","orcid":"https://orcid.org/0000-0002-8180-1023"},"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":"Mingmin Zhen","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017052768","display_name":"Wenmin Wang","orcid":"https://orcid.org/0000-0003-2664-4413"},"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":"Wenmin Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"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":"Ronggang Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, 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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7387955188751221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7207024097442627},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.6763806939125061},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6634767055511475},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5870919227600098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5508895516395569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5161467790603638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49173787236213684},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4833543002605438},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4710635542869568}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7387955188751221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207024097442627},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.6763806939125061},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6634767055511475},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5870919227600098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5508895516395569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5161467790603638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49173787236213684},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4833543002605438},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4710635542869568},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2015.7457868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","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":21,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1606858007","https://openalex.org/W1679894842","https://openalex.org/W1979931042","https://openalex.org/W1984309565","https://openalex.org/W2012592962","https://openalex.org/W2017447430","https://openalex.org/W2045679523","https://openalex.org/W2065928620","https://openalex.org/W2068143350","https://openalex.org/W2103924867","https://openalex.org/W2105516263","https://openalex.org/W2109235804","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2151103935","https://openalex.org/W2172188317","https://openalex.org/W4300725016","https://openalex.org/W6633472159","https://openalex.org/W6636412649"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W4296209631","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W121858127","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W2775143306","https://openalex.org/W346861917"],"abstract_inverted_index":{"In":[0,23,37,53],"recent":[1],"yeas,":[2],"VLAD":[3,93,114],"has":[4],"been":[5,35],"used":[6],"to":[7,45,63],"represent":[8],"an":[9],"image":[10,21],"effectively":[11],"and":[12,67,106],"efficiently":[13],"by":[14],"just":[15],"a":[16,29,56],"few":[17],"bytes":[18],"in":[19],"large-scale":[20],"retrieval.":[22],"spite":[24],"of":[25,31,77],"its":[26],"remarkable":[27],"performance,":[28],"series":[30],"modification":[32],"methods":[33],"have":[34],"presented.":[36],"addition,":[38],"the":[39,42,46,65,69,75,79],"redundancy":[40],"between":[41],"features":[43,66],"corresponding":[44],"same":[47],"cluster":[48,73],"center":[49],"could":[50],"be":[51,89],"improved.":[52],"this":[54],"paper,":[55],"regional":[57],"PCA":[58,97],"Whitening":[59],"method":[60,86],"is":[61],"proposed":[62],"decorrelate":[64],"reduce":[68],"dimensionality":[70,83],"for":[71],"each":[72],"with":[74,95],"consideration":[76],"mapping":[78],"descriptor":[80],"into":[81,91],"high":[82],"explicitly.":[84],"Our":[85],"can":[87],"also":[88],"embedded":[90],"original":[92],"pipeline":[94],"global":[96],"very":[98],"well.":[99],"The":[100],"experimental":[101],"results":[102],"on":[103],"both":[104],"Holidays":[105],"UKbench":[107],"dataset":[108],"show":[109],"that":[110],"our":[111],"approach":[112],"improves":[113],"significantly.":[115]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
