{"id":"https://openalex.org/W2582402548","doi":"https://doi.org/10.1109/tii.2017.2657545","title":"A Fast Image Retrieval Method Designed for Network Big Data","display_name":"A Fast Image Retrieval Method Designed for Network Big Data","publication_year":2017,"publication_date":"2017-01-24","ids":{"openalex":"https://openalex.org/W2582402548","doi":"https://doi.org/10.1109/tii.2017.2657545","mag":"2582402548"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2017.2657545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2017.2657545","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.lboro.ac.uk/2134/24204","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066144350","display_name":"Jiachen Yang","orcid":"https://orcid.org/0000-0003-2558-552X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiachen Yang","raw_affiliation_strings":["School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735301","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-4044-885X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072835010","display_name":"Baihua Li","orcid":"https://orcid.org/0000-0002-4930-7690"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Baihua Li","raw_affiliation_strings":["Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101477876","display_name":"Kun Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I2802615301","display_name":"China Aerospace Science and Technology Corporation","ror":"https://ror.org/01z8tr155","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Tian","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing, China","institution_ids":["https://openalex.org/I2802615301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108044017","display_name":"Zhihan Lv","orcid":"https://orcid.org/0009-0005-9452-5768"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihan Lv","raw_affiliation_strings":["Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066144350"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":3.4167,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.95644824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"13","issue":"5","first_page":"2350","last_page":"2359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7732861042022705},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6885216236114502},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6388731002807617},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6271121501922607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5699739456176758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5506071448326111},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5187761783599854},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4737547039985657},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4712755084037781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45460906624794006},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44559386372566223},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.441620796918869},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.423868328332901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39348334074020386},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2674207091331482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1287490725517273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732861042022705},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6885216236114502},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6388731002807617},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6271121501922607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5699739456176758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506071448326111},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5187761783599854},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4737547039985657},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4712755084037781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45460906624794006},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44559386372566223},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.441620796918869},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.423868328332901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39348334074020386},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2674207091331482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1287490725517273},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tii.2017.2657545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2017.2657545","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:dspace.lboro.ac.uk:2134/24204","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/24204","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/9402029","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_fast_image_retrieval_method_designed_for_network_big_data/9402029","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:dspace.lboro.ac.uk:2134/24204","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/24204","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3118626630","display_name":null,"funder_award_id":"61271324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4512524032","display_name":null,"funder_award_id":"61471260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7879763596","display_name":null,"funder_award_id":"16JCYBJC16000","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1561000089","https://openalex.org/W1966928092","https://openalex.org/W1967199668","https://openalex.org/W1970264581","https://openalex.org/W1974539152","https://openalex.org/W1977072130","https://openalex.org/W1981232020","https://openalex.org/W1985636418","https://openalex.org/W1988479877","https://openalex.org/W2001773889","https://openalex.org/W2002748735","https://openalex.org/W2012292677","https://openalex.org/W2012352340","https://openalex.org/W2032170990","https://openalex.org/W2033158821","https://openalex.org/W2033601173","https://openalex.org/W2036924016","https://openalex.org/W2038194220","https://openalex.org/W2045381533","https://openalex.org/W2046589280","https://openalex.org/W2055044862","https://openalex.org/W2082453965","https://openalex.org/W2090334843","https://openalex.org/W2093046735","https://openalex.org/W2093896543","https://openalex.org/W2096474340","https://openalex.org/W2097777575","https://openalex.org/W2101498401","https://openalex.org/W2109868644","https://openalex.org/W2118253129","https://openalex.org/W2125986858","https://openalex.org/W2130660124","https://openalex.org/W2133247801","https://openalex.org/W2133396775","https://openalex.org/W2141377631","https://openalex.org/W2150692003","https://openalex.org/W2150856297","https://openalex.org/W2153605240","https://openalex.org/W2162018804","https://openalex.org/W2165887572","https://openalex.org/W2168339944","https://openalex.org/W2182179869","https://openalex.org/W2267666116","https://openalex.org/W2274587645","https://openalex.org/W2286715017","https://openalex.org/W2290636541","https://openalex.org/W2293066912","https://openalex.org/W2303085036","https://openalex.org/W2313033407","https://openalex.org/W2523262352","https://openalex.org/W2548197316","https://openalex.org/W4285719527","https://openalex.org/W6642674387","https://openalex.org/W6685583108","https://openalex.org/W6695707606"],"related_works":["https://openalex.org/W2011260834","https://openalex.org/W2499029474","https://openalex.org/W2918350319","https://openalex.org/W2798760230","https://openalex.org/W2761229199","https://openalex.org/W2731517839","https://openalex.org/W2087927333","https://openalex.org/W2735794310","https://openalex.org/W2071288688","https://openalex.org/W2089679607"],"abstract_inverted_index":{"In":[0,50],"the":[1,38,68,75,87,95,107,111,119,146,159],"field":[2],"of":[3,15,66,162],"big":[4,19,63],"data":[5,20,41],"applications,":[6],"image":[7,40,57,96,128],"information":[8,16,29],"is":[9,21,31,72,86,115],"widely":[10],"used.":[11],"The":[12],"value":[13],"density":[14],"utilization":[17],"in":[18,130,158],"very":[22,32],"low,":[23],"and":[24,74,99,140,165],"how":[25],"to":[26,93,117],"extract":[27],"useful":[28],"quickly":[30],"important.":[33],"So":[34],"we":[35,53],"should":[36],"transform":[37],"unstructured":[39],"source":[42],"into":[43,102],"a":[44,55,155],"form":[45],"that":[46,151],"can":[47,78,105,144,166],"be":[48,79],"analyzed.":[49],"this":[51,131],"paper,":[52],"proposed":[54],"fast":[56],"retrieval":[58,120,129],"method":[59,71,153],"which":[60,104],"designed":[61],"for":[62,81,91,127],"data.":[64],"First":[65],"all,":[67],"feature":[69,76,97,108,134,163],"extraction":[70,135,164],"necessary":[73],"vectors":[77,98],"obtained":[80],"every":[82],"image.":[83],"Then,":[84],"it":[85],"most":[88],"important":[89],"step":[90],"us":[92],"encode":[94],"make":[100],"them":[101],"database,":[103],"optimize":[106],"structure.":[109],"Finally,":[110],"corresponding":[112],"similarity":[113],"matching":[114,171],"used":[116],"determined":[118],"results.":[121,172],"There":[122],"are":[123],"three":[124],"main":[125],"contributions":[126],"paper.":[132],"New":[133],"method,":[136],"reasonable":[137],"elements":[138],"ranking,":[139],"appropriate":[141],"distance":[142],"metric":[143],"improve":[145],"algorithm":[147],"performance.":[148],"Experiments":[149],"show":[150],"our":[152],"has":[154],"great":[156],"improvement":[157],"effective":[160],"performance":[161],"also":[167],"get":[168],"better":[169],"search":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
