{"id":"https://openalex.org/W4391306858","doi":"https://doi.org/10.1109/vcip59821.2023.10402652","title":"MorphVAD: Efficient Video Anomaly Detection Using Morphological Transformation","display_name":"MorphVAD: Efficient Video Anomaly Detection Using Morphological Transformation","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391306858","doi":"https://doi.org/10.1109/vcip59821.2023.10402652"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402652","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-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/A5013118584","display_name":"Jeonghyeok Do","orcid":"https://orcid.org/0000-0003-0030-0129"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeonghyeok Do","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,School of Electrical Engineering,Daejeon,Korea","School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,School of Electrical Engineering,Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027012300","display_name":"Munchurl Kim","orcid":"https://orcid.org/0000-0003-0146-5419"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Munchurl Kim","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,School of Electrical Engineering,Daejeon,Korea","School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,School of Electrical Engineering,Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013118584"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.1751,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59883408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9854000210762024,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.68304443359375},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6632786393165588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629925549030304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43609052896499634},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4147219955921173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39887285232543945}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.68304443359375},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6632786393165588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629925549030304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43609052896499634},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4147219955921173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39887285232543945},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402652","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1967456674","https://openalex.org/W2064076387","https://openalex.org/W2155653793","https://openalex.org/W2163612318","https://openalex.org/W2341058432","https://openalex.org/W2560474170","https://openalex.org/W2753526808","https://openalex.org/W2766042539","https://openalex.org/W2899771611","https://openalex.org/W2908510526","https://openalex.org/W2919115771","https://openalex.org/W2963263347","https://openalex.org/W2963610939","https://openalex.org/W2981741013","https://openalex.org/W2987228832","https://openalex.org/W3015495912","https://openalex.org/W3035240825","https://openalex.org/W3110474347","https://openalex.org/W3151130473","https://openalex.org/W3168984673","https://openalex.org/W3177187266","https://openalex.org/W3202590754","https://openalex.org/W4289756516","https://openalex.org/W4293584584","https://openalex.org/W6726497184","https://openalex.org/W6750227808","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674"],"abstract_inverted_index":{"Video":[0],"anomaly":[1,78,92,163],"detection":[2,93,164],"aims":[3],"to":[4,27,47,66,115],"identify":[5],"unusual":[6],"events":[7],"within":[8],"video":[9,60,77,91,162],"sequences.":[10],"Approaches":[11],"that":[12,54,96,118],"rely":[13,35],"on":[14,36,99,134],"reconstruction":[15],"and":[16,25,144,151],"prediction":[17],"have":[18],"shown":[19],"impressive":[20],"success":[21],"in":[22,75,139,161],"this":[23,86],"area":[24],"continue":[26],"be":[28],"actively":[29],"explored.":[30],"However,":[31],"recent":[32],"techniques":[33],"often":[34],"pre-trained":[37],"external":[38],"components":[39],"such":[40],"as":[41],"optical":[42],"flow":[43],"or":[44],"segmentation":[45],"maps":[46],"handle":[48],"the":[49,109,130,149,158],"challenge":[50],"of":[51,59,112,153],"removing":[52],"background":[53],"constitutes":[55],"a":[56,71,100],"substantial":[57],"portion":[58],"content.":[61],"These":[62],"additional":[63],"modules,":[64],"due":[65],"their":[67],"computational":[68],"complexity,":[69],"introduce":[70],"noteworthy":[72],"trade-off,":[73],"particularly":[74],"real-time":[76],"detection,":[79,156],"where":[80],"timely":[81],"monitoring":[82],"is":[83,97],"paramount.":[84],"So,":[85,122],"paper":[87],"introduces":[88],"an":[89],"efficient":[90],"method":[94],"(MorphVAD)":[95],"based":[98],"novel":[101],"morphology-based":[102],"masking":[103],"module":[104],"(Morph-Mask).":[105],"The":[106],"Morph-Mask":[107],"harnesses":[108],"straightforward":[110],"concept":[111],"morphological":[113],"transformations":[114],"create":[116],"masks":[117,128,155],"highlight":[119],"foreground":[120],"elements.":[121],"our":[123],"MorphVAD":[124],"strategically":[125],"incorporates":[126],"these":[127,154],"during":[129],"training":[131],"phase,":[132],"focusing":[133],"retaining":[135],"only":[136],"foreground-related":[137],"information":[138],"memory.":[140],"Through":[141],"illustrative":[142],"experiments":[143],"various":[145],"evaluations,":[146],"we":[147],"demonstrate":[148],"efficiency":[150],"effectiveness":[152],"showing":[157],"significant":[159],"enhancements":[160],"performance.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}