{"id":"https://openalex.org/W4281478450","doi":"https://doi.org/10.1007/s10489-022-03613-1","title":"Attention-based residual autoencoder for video anomaly detection","display_name":"Attention-based residual autoencoder for video anomaly detection","publication_year":2022,"publication_date":"2022-05-25","ids":{"openalex":"https://openalex.org/W4281478450","doi":"https://doi.org/10.1007/s10489-022-03613-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-03613-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-03613-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-03613-1.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-03613-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082439902","display_name":"Viet-Tuan Le","orcid":"https://orcid.org/0000-0002-2289-8128"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Viet-Tuan Le","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064727471","display_name":"Yong-Guk Kim","orcid":"https://orcid.org/0000-0003-4645-1395"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yong-Guk Kim","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0003-4645-1395","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064727471"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":20.3223,"has_fulltext":true,"cited_by_count":197,"citation_normalized_percentile":{"value":0.99562159,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"53","issue":"3","first_page":"3240","last_page":"3254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.9100576639175415},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8901739120483398},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7148463726043701},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7096587419509888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818800568580627},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6754661202430725},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6181829571723938},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5443337559700012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5371262431144714},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.524259090423584},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4963892102241516},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4785252809524536},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4660526216030121},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4582040309906006},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.410235196352005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.326120525598526},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08040937781333923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06828299164772034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9100576639175415},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8901739120483398},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7148463726043701},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7096587419509888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818800568580627},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6754661202430725},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6181829571723938},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5443337559700012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5371262431144714},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.524259090423584},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4963892102241516},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4785252809524536},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4660526216030121},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4582040309906006},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.410235196352005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.326120525598526},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08040937781333923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06828299164772034},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-03613-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-03613-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-03613-1.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-022-03613-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-03613-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-03613-1.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4794120085","display_name":null,"funder_award_id":"2019- 0-00231","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5099065714","display_name":null,"funder_award_id":"2019-0-00231","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5396177265","display_name":null,"funder_award_id":"2020R1A6A1A03038540","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G554036074","display_name":null,"funder_award_id":"2020R1A6A1A03038540","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281478450.pdf","grobid_xml":"https://content.openalex.org/works/W4281478450.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W2122361470","https://openalex.org/W2163612318","https://openalex.org/W2194775991","https://openalex.org/W2343569625","https://openalex.org/W2558580397","https://openalex.org/W2752782242","https://openalex.org/W2777342313","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2915683453","https://openalex.org/W2921906393","https://openalex.org/W2925312408","https://openalex.org/W2963610939","https://openalex.org/W2970645682","https://openalex.org/W2970724283","https://openalex.org/W2976852454","https://openalex.org/W2987146532","https://openalex.org/W2987228832","https://openalex.org/W2989705574","https://openalex.org/W2990152177","https://openalex.org/W2990266374","https://openalex.org/W2991506670","https://openalex.org/W2998277278","https://openalex.org/W3014352273","https://openalex.org/W3015832418","https://openalex.org/W3037420336","https://openalex.org/W3044374951","https://openalex.org/W3080279402","https://openalex.org/W3096857588","https://openalex.org/W3101466234","https://openalex.org/W3101768930","https://openalex.org/W3127213927","https://openalex.org/W3130636028","https://openalex.org/W3168984673","https://openalex.org/W3186338691","https://openalex.org/W3190318906","https://openalex.org/W4213354309"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"Abstract":[0],"Automatic":[1],"anomaly":[2],"detection":[3],"is":[4,72,83,91],"a":[5,23,27,31,45,51,58],"crucial":[6],"task":[7],"in":[8,30,64,121],"video":[9],"surveillance":[10],"system":[11,21],"intensively":[12],"used":[13,73],"for":[14,74,109,113,118],"public":[15],"safety":[16],"and":[17,26,38,57,116],"others.":[18],"The":[19,42,68],"present":[20],"adopts":[22],"spatial":[24,37],"branch":[25,29],"temporal":[28,39,69,77],"unified":[32],"network":[33,43,102],"that":[34,100],"exploits":[35],"both":[36],"information":[40],"effectively.":[41],"has":[44],"residual":[46],"autoencoder":[47],"architecture,":[48],"consisting":[49],"of":[50,123],"deep":[52],"convolutional":[53],"neural":[54],"network-based":[55],"encoder":[56],"multi-stage":[59],"channel":[60,86],"attention-based":[61],"decoder,":[62],"trained":[63],"an":[65],"unsupervised":[66],"manner.":[67],"shift":[70],"method":[71],"exploiting":[75],"the":[76,80,104],"feature,":[78],"whereas":[79],"contextual":[81],"dependency":[82],"extracted":[84],"by":[85],"attention":[87],"modules.":[88],"System":[89],"performance":[90],"evaluated":[92],"using":[93],"three":[94],"standard":[95],"benchmark":[96],"datasets.":[97],"Result":[98],"suggests":[99],"our":[101],"outperforms":[103],"state-of-the-art":[105],"methods,":[106],"achieving":[107],"97.4%":[108],"UCSD":[110],"Ped2,":[111],"86.7%":[112],"CUHK":[114],"Avenue,":[115],"73.6%":[117],"ShanghaiTech":[119],"dataset":[120],"term":[122],"Area":[124],"Under":[125],"Curve,":[126],"respectively.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":59},{"year":2024,"cited_by_count":75},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
