{"id":"https://openalex.org/W3083748716","doi":"https://doi.org/10.1109/mis.2020.3021704","title":"Automatic Data Cleaning System for Large-Scale Location Image Databases Using a Multilevel Extractor and Multiresolution Dissimilarity Calculation","display_name":"Automatic Data Cleaning System for Large-Scale Location Image Databases Using a Multilevel Extractor and Multiresolution Dissimilarity Calculation","publication_year":2020,"publication_date":"2020-09-04","ids":{"openalex":"https://openalex.org/W3083748716","doi":"https://doi.org/10.1109/mis.2020.3021704","mag":"3083748716"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2020.3021704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2020.3021704","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","raw_type":"journal-article"},"type":"article","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/A5028504321","display_name":"Hsu-Yung Cheng","orcid":"https://orcid.org/0000-0002-8342-7450"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsu-Yung Cheng","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-8342-7450","affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021766012","display_name":"Chih-Chang Yu","orcid":"https://orcid.org/0000-0003-1611-0223"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chang Yu","raw_affiliation_strings":["Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1611-0223","affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0958,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.39424964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"5","first_page":"49","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.98580002784729,"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":0.8518147468566895},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.8148362636566162},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7649152874946594},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.6911511421203613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60258948802948},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5469978451728821},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.500929594039917},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4987766742706299},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49769189953804016},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4856604337692261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4755934178829193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4203470051288605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41081374883651733},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.37613558769226074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09684184193611145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8518147468566895},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.8148362636566162},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7649152874946594},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6911511421203613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60258948802948},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5469978451728821},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.500929594039917},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4987766742706299},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49769189953804016},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4856604337692261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4755934178829193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4203470051288605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41081374883651733},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.37613558769226074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09684184193611145},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":1,"locations":[{"id":"doi:10.1109/mis.2020.3021704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2020.3021704","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G922758800","display_name":null,"funder_award_id":"109-2634-F-008 -008","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1950843348","https://openalex.org/W2013409485","https://openalex.org/W2095168189","https://openalex.org/W2108598243","https://openalex.org/W2189774688","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2576546729","https://openalex.org/W2732026016","https://openalex.org/W2786846193","https://openalex.org/W2889513363","https://openalex.org/W2903047077","https://openalex.org/W2914579132","https://openalex.org/W2956408132","https://openalex.org/W2958150439","https://openalex.org/W4293478066","https://openalex.org/W6653712188","https://openalex.org/W6687483927","https://openalex.org/W6842019321"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W3141979996"],"abstract_inverted_index":{"In":[0,53],"this":[1,54],"article,":[2],"we":[3,56],"propose":[4],"a":[5,72,80,108],"system":[6,104],"for":[7,47],"automatically":[8],"classifying":[9],"and":[10,28,97,126,142],"cleaning":[11,38,146],"location":[12],"images":[13,114],"in":[14,138],"large-scale":[15],"image":[16],"databases":[17],"uploaded":[18,25],"by":[19,26],"arbitrary":[20],"users.":[21],"Detecting":[22],"incorrect":[23,100,140],"scenes":[24,141],"users":[27],"maintaining":[29],"the":[30,33,91,123,127,136],"correctness":[31],"of":[32,51,93],"database":[34],"through":[35],"automatic":[36],"data":[37,145],"are":[39],"essential":[40],"because":[41],"human":[42],"inspection":[43],"is":[44],"not":[45],"feasible":[46],"verifying":[48],"massive":[49],"amounts":[50],"data.":[52,69],"study,":[55],"compared":[57],"different":[58],"feature":[59,77],"extractors":[60],"using":[61,67,107],"deep":[62],"convolutional":[63],"neural":[64],"networks":[65],"trained":[66],"big":[68],"We":[70],"designed":[71,88],"multilevel":[73,124],"extractor":[74,125],"to":[75,89],"improve":[76,135],"extraction.":[78],"Moreover,":[79],"detector":[81,128],"based":[82,129],"on":[83,130],"multiresolution":[84,131],"dissimilarity":[85,132],"calculation":[86,133],"was":[87,105],"overcome":[90],"issue":[92],"large":[94],"intraclass":[95],"distances":[96],"successfully":[98],"identify":[99],"scenes.":[101],"The":[102,119],"proposed":[103],"validated":[106],"highly":[109],"challenging":[110],"dataset":[111],"with":[112],"138,000":[113],"collected":[115],"from":[116],"Google":[117],"Places.":[118],"experiments":[120],"show":[121],"that":[122],"can":[134],"accuracy":[137],"identifying":[139],"achieve":[143],"satisfying":[144],"results.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}