{"id":"https://openalex.org/W3199505128","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533387","title":"Scene Image Classification Based on Improved VLAD Reprensentation","display_name":"Scene Image Classification Based on Improved VLAD Reprensentation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199505128","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533387","mag":"3199505128"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5100764272","display_name":"Zhiyi Zhang","orcid":"https://orcid.org/0000-0002-6671-4378"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyi Zhang","raw_affiliation_strings":["School of Computer Science & Technology, School of Software, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, School of Software, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003795093","display_name":"Xianzhong Long","orcid":"https://orcid.org/0000-0001-6281-0832"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzhong Long","raw_affiliation_strings":["School of Computer Science & Technology, School of Software, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, School of Software, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057838181","display_name":"Yun Li","orcid":"https://orcid.org/0000-0003-4442-3825"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["School of Computer Science & Technology, School of Software, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, School of Software, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10721814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7075154185295105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6957546472549438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6759070754051208},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.569105863571167},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5328792929649353},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.496980220079422},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4779817461967468},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.42171138525009155},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.41801559925079346},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.40287795662879944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3814886808395386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3383616805076599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2351090908050537},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07003995776176453}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7075154185295105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957546472549438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759070754051208},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.569105863571167},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5328792929649353},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.496980220079422},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4779817461967468},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.42171138525009155},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.41801559925079346},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.40287795662879944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3814886808395386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3383616805076599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2351090908050537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07003995776176453},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4501822889","display_name":null,"funder_award_id":"61906098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W1625255723","https://openalex.org/W1984309565","https://openalex.org/W2012592962","https://openalex.org/W2016547586","https://openalex.org/W2027922120","https://openalex.org/W2065928620","https://openalex.org/W2079238516","https://openalex.org/W2089903940","https://openalex.org/W2097018403","https://openalex.org/W2104311745","https://openalex.org/W2104978738","https://openalex.org/W2105516263","https://openalex.org/W2117483887","https://openalex.org/W2119821739","https://openalex.org/W2131846894","https://openalex.org/W2134563198","https://openalex.org/W2138826255","https://openalex.org/W2140959843","https://openalex.org/W2141362318","https://openalex.org/W2147238549","https://openalex.org/W2147625498","https://openalex.org/W2149957118","https://openalex.org/W2150593711","https://openalex.org/W2151103935","https://openalex.org/W2155904486","https://openalex.org/W2162915993","https://openalex.org/W2166049352","https://openalex.org/W2563353037","https://openalex.org/W2620629206","https://openalex.org/W2747909495","https://openalex.org/W2945766705","https://openalex.org/W2951019013","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2158102958","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2028757524","https://openalex.org/W1995462736","https://openalex.org/W2947282851","https://openalex.org/W3043037362","https://openalex.org/W2499029474","https://openalex.org/W4239790437","https://openalex.org/W2776636962"],"abstract_inverted_index":{"Vector":[0],"of":[1,23,107],"Locally":[2],"Aggregated":[3],"Descriptors":[4],"(VLAD)":[5],"method,":[6],"which":[7,51],"aggregates":[8],"descriptors":[9],"and":[10,26,66,95,119,146],"produces":[11],"a":[12,34],"compact":[13],"image":[14,24],"representation,":[15],"has":[16],"achieved":[17],"great":[18],"success":[19],"in":[20,49,131],"the":[21,29,44,73,80,97,105,108,126,140],"field":[22],"classification":[25,136],"retrieval.":[27],"However,":[28],"original":[30],"VLAD":[31,61,143],"method":[32,78,129],"is":[33,69],"hard":[35],"assignment":[36],"strategy":[37],"that":[38,125],"only":[39],"assigns":[40],"each":[41],"descriptor":[42],"to":[43,53,71],"nearest":[45,91],"neighbor":[46,92],"visual":[47,93,110],"word":[48],"dictionary,":[50],"leads":[52],"large":[54],"quantization":[55],"error.":[56],"In":[57],"this":[58,132],"paper,":[59],"improved":[60],"based":[62,144],"on":[63,114],"adaptive":[64],"bases":[65],"saliency":[67,103],"weights":[68,106],"proposed":[70,130],"solve":[72],"above":[74],"problem.":[75],"The":[76],"new":[77,127],"considers":[79],"local":[81,86],"density":[82],"distribution":[83],"when":[84],"assigning":[85],"descriptors,":[87],"adaptively":[88],"selects":[89],"several":[90],"words,":[94],"takes":[96],"coding":[98,128],"coefficients":[99],"obtained":[100],"by":[101],"utilizing":[102],"as":[104],"selected":[109],"words.":[111],"Experimental":[112],"results":[113],"Corel":[115],"10,":[116],"15":[117],"Scenes":[118],"UIUC":[120],"Sports":[121],"Event":[122],"datasets":[123],"show":[124],"paper":[133],"achieves":[134],"better":[135],"performance":[137],"compared":[138],"with":[139],"existing":[141],"five":[142],"methods":[145],"two":[147],"commonly":[148],"used":[149],"representation":[150],"methods.":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
