{"id":"https://openalex.org/W4309118519","doi":"https://doi.org/10.1093/comjnl/bxac152","title":"Deep Hashing and Sparse Representation of Abnormal Events Detection","display_name":"Deep Hashing and Sparse Representation of Abnormal Events Detection","publication_year":2022,"publication_date":"2022-11-15","ids":{"openalex":"https://openalex.org/W4309118519","doi":"https://doi.org/10.1093/comjnl/bxac152"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxac152","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxac152","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5023234008","display_name":"Mariem Gnouma","orcid":"https://orcid.org/0000-0002-2357-6817"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Mariem Gnouma","raw_affiliation_strings":["Departement of Computer Sciences, Faculty of Sciences of Gabes , Erriadh City, Zrig, Gabes 6072 , Tunisia","University of Gabes Research Team on Intelligent Machines, National Engineering School of Gabes, , Street Omar Ibn El Khattab, Zrig Eddakhlania, Gabes 6029 , Tunisia"],"raw_orcid":"https://orcid.org/0000-0002-2357-6817","affiliations":[{"raw_affiliation_string":"Departement of Computer Sciences, Faculty of Sciences of Gabes , Erriadh City, Zrig, Gabes 6072 , Tunisia","institution_ids":["https://openalex.org/I68916915"]},{"raw_affiliation_string":"University of Gabes Research Team on Intelligent Machines, National Engineering School of Gabes, , Street Omar Ibn El Khattab, Zrig Eddakhlania, Gabes 6029 , Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029856197","display_name":"Ridha Ejbali","orcid":"https://orcid.org/0000-0002-8148-1621"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ridha Ejbali","raw_affiliation_strings":["Departement of Computer Sciences, Faculty of Sciences of Gabes , Erriadh City, Zrig, Gabes 6072 , Tunisia","University of Gabes Research Team on Intelligent Machines, National Engineering School of Gabes, , Street Omar Ibn El Khattab, Zrig Eddakhlania, Gabes 6029 , Tunisia"],"raw_orcid":"https://orcid.org/0000-0002-8148-1621","affiliations":[{"raw_affiliation_string":"Departement of Computer Sciences, Faculty of Sciences of Gabes , Erriadh City, Zrig, Gabes 6072 , Tunisia","institution_ids":["https://openalex.org/I68916915"]},{"raw_affiliation_string":"University of Gabes Research Team on Intelligent Machines, National Engineering School of Gabes, , Street Omar Ibn El Khattab, Zrig Eddakhlania, Gabes 6029 , Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074838703","display_name":"Mourad Zaied","orcid":"https://orcid.org/0000-0003-4013-5834"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mourad Zaied","raw_affiliation_strings":["University of Gabes Research Team on Intelligent Machines, National Engineering School of Gabes, , Street Omar Ibn El Khattab, Zrig Eddakhlania, Gabes 6029 , Tunisia"],"raw_orcid":"https://orcid.org/0000-0003-4013-5834","affiliations":[{"raw_affiliation_string":"University of Gabes Research Team on Intelligent Machines, National Engineering School of Gabes, , Street Omar Ibn El Khattab, Zrig Eddakhlania, Gabes 6029 , Tunisia","institution_ids":["https://openalex.org/I68916915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023234008"],"corresponding_institution_ids":["https://openalex.org/I68916915"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.2775,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63864739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"67","issue":"1","first_page":"3","last_page":"17"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.8795405626296997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6689801216125488},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6329847574234009},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6267706751823425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5817351937294006},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5696452856063843},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.459716796875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4455483853816986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3737316131591797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35325759649276733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19752255082130432},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11428266763687134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8795405626296997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6689801216125488},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6329847574234009},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6267706751823425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817351937294006},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5696452856063843},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.459716796875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4455483853816986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3737316131591797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35325759649276733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19752255082130432},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11428266763687134},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxac152","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxac152","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W586437679","https://openalex.org/W2240536489","https://openalex.org/W2540481276","https://openalex.org/W2788636619","https://openalex.org/W2833380305","https://openalex.org/W2903380502","https://openalex.org/W2906893778","https://openalex.org/W2915683453","https://openalex.org/W2921532081","https://openalex.org/W2941288645","https://openalex.org/W2955271382","https://openalex.org/W3011179489","https://openalex.org/W3045619372","https://openalex.org/W3107664750","https://openalex.org/W3128635849","https://openalex.org/W3136256822","https://openalex.org/W3140428646","https://openalex.org/W3153221215","https://openalex.org/W3172432880","https://openalex.org/W4244631822","https://openalex.org/W6686524350","https://openalex.org/W6796771982"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W3099765033","https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W2186333919","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Abstract":[0],"Due":[1],"to":[2,28,36,51,63,83,93,100,137,152,164,175,191,202],"its":[3,85],"widespread":[4],"application":[5],"in":[6,14,31,81,87,142,173],"the":[7,37,42,65,69,94,102,128,166,177,204,213,220],"field":[8],"of":[9,39,44,48,130,168,179,224],"public":[10],"security,":[11],"anomaly":[12,120],"detection":[13,121,221],"crowd":[15],"scenes":[16],"has":[17,98],"recently":[18],"become":[19],"a":[20,55,117,161,182],"hot":[21],"topic.":[22],"Some":[23],"deep":[24,132,135,143],"learning-based":[25],"methods":[26,215],"led":[27],"significant":[29],"accomplishments":[30],"this":[32,114,124],"field.":[33],"Nevertheless,":[34],"due":[35],"scarcity":[38],"data":[40,170],"and":[41,57,73,77,134,148,171,206,222],"misclassification":[43],"queries":[45],"which":[46,97],"most":[47,103],"them":[49],"suffer":[50],"some":[52],"extent":[53],"from":[54],"sudden":[56],"infrequent":[58],"overfitting.":[59],"Though,":[60],"we":[61,126,158,189],"tried":[62],"solve":[64],"above":[66],"problems,":[67],"understand":[68],"long":[70],"video":[71,119],"streams":[72],"establish":[74],"an":[75],"accurate":[76],"reliable":[78],"security":[79],"system":[80],"order":[82,174],"improve":[84],"performance":[86,205],"detecting":[88],"anomalies.":[89,155,225],"We":[90],"also":[91],"referred":[92],"hash":[95,144],"technique,":[96],"proven":[99],"be":[101,150],"efficient":[104],"method":[105],"used":[106,151],"when":[107],"researching":[108],"about":[109],"large-scale":[110],"image":[111],"recovery.":[112],"Thus,":[113],"article":[115],"offers":[116],"smart":[118],"solution.":[122],"In":[123],"paper,":[125],"combine":[127],"advantages":[129],"both":[131],"hashing":[133],"auto-encoders":[136],"show":[138],"that":[139,212],"tracking":[140],"changes":[141],"components":[145],"across":[146],"time":[147,178],"can":[149],"detect":[153],"local":[154,193],"More":[156],"precisely,":[157],"start":[159],"with":[160,198],"new":[162,183],"technique":[163],"minimize":[165],"mass":[167],"input":[169],"information":[172],"decrease":[176],"calculation":[180],"using":[181],"dynamic":[184],"frame":[185],"skipping":[186],"technique.":[187],"Then,":[188],"propose":[190],"measure":[192],"anomalies":[194],"by":[195],"combining":[196],"semantic":[197],"low-level":[199],"optical":[200],"flows":[201],"balance":[203],"perceptibility.":[207],"The":[208],"experimental":[209],"results":[210],"illustrate":[211],"proposed":[214],"surpass":[216],"these":[217],"baselines":[218],"for":[219],"localization":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
