{"id":"https://openalex.org/W7124924853","doi":"https://doi.org/10.1109/cbmi66578.2025.11339305","title":"Zero-Shot Vision-Language Model for Event Detection in Smart Surveillance","display_name":"Zero-Shot Vision-Language Model for Event Detection in Smart Surveillance","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7124924853","doi":"https://doi.org/10.1109/cbmi66578.2025.11339305"},"language":null,"primary_location":{"id":"doi:10.1109/cbmi66578.2025.11339305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi66578.2025.11339305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Content-Based Multimedia Indexing (CBMI)","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/A5099128822","display_name":"Younes Kebour","orcid":null},"institutions":[{"id":"https://openalex.org/I70348806","display_name":"Universit\u00e9 Polytechnique Hauts-de-France","ror":"https://ror.org/02ezch769","country_code":"FR","type":"education","lineage":["https://openalex.org/I70348806"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Younes Kebour","raw_affiliation_strings":["LAMIH CNRS, Univ. Polytechnique Hauts-de-France Junia, Grande &#x00C9;cole d&#x0027;Ing&#x00E9;nieur,Lille,France"],"affiliations":[{"raw_affiliation_string":"LAMIH CNRS, Univ. Polytechnique Hauts-de-France Junia, Grande &#x00C9;cole d&#x0027;Ing&#x00E9;nieur,Lille,France","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I1294671590","https://openalex.org/I70348806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033007604","display_name":"Sma\u00efl Niar","orcid":null},"institutions":[{"id":"https://openalex.org/I70348806","display_name":"Universit\u00e9 Polytechnique Hauts-de-France","ror":"https://ror.org/02ezch769","country_code":"FR","type":"education","lineage":["https://openalex.org/I70348806"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Smail Niar","raw_affiliation_strings":["Univ. Polytechnique Hauts-de-France,LAMIH CNRS INSA Hauts-de-France,Valenciennes,France"],"affiliations":[{"raw_affiliation_string":"Univ. Polytechnique Hauts-de-France,LAMIH CNRS INSA Hauts-de-France,Valenciennes,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I70348806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115503349","display_name":"Nacim IHADDADENE","orcid":null},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nacim Ihaddadene","raw_affiliation_strings":["Junia, Grande &#x00C9;cole d&#x0027;Ing&#x00E9;nieur,Lille,France"],"affiliations":[{"raw_affiliation_string":"Junia, Grande &#x00C9;cole d&#x0027;Ing&#x00E9;nieur,Lille,France","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018878439","display_name":"Abdelghani Bekrar","orcid":null},"institutions":[{"id":"https://openalex.org/I70348806","display_name":"Universit\u00e9 Polytechnique Hauts-de-France","ror":"https://ror.org/02ezch769","country_code":"FR","type":"education","lineage":["https://openalex.org/I70348806"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelghani Bekrar","raw_affiliation_strings":["LAMIH CNRS, Univ. Polytechnique Hauts-de-France,Valenciennes,France"],"affiliations":[{"raw_affiliation_string":"LAMIH CNRS, Univ. Polytechnique Hauts-de-France,Valenciennes,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I70348806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123410641","display_name":"Hammouda Elbez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119188","display_name":"European Institute for Health Records","ror":"https://ror.org/01sc1ca25","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210119188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hammouda Elbez","raw_affiliation_strings":["CITC-EuraRFID,Lille,France"],"affiliations":[{"raw_affiliation_string":"CITC-EuraRFID,Lille,France","institution_ids":["https://openalex.org/I4210119188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5099128822"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I142476485","https://openalex.org/I70348806"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86474364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9553999900817871,"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":0.9553999900817871,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0034000000450760126,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.003000000026077032,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7705000042915344},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6171000003814697},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5347999930381775},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5195000171661377},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.43059998750686646},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.36149999499320984},{"id":"https://openalex.org/keywords/unexpected-events","display_name":"Unexpected events","score":0.35100001096725464}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7705000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325000166893005},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6171000003814697},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5347999930381775},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011000037193298},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.43059998750686646},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3273000121116638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3075000047683716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2987000048160553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C2776088427","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern detection","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2718000113964081}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi66578.2025.11339305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi66578.2025.11339305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5380523800849915}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2122361470","https://openalex.org/W2156017603","https://openalex.org/W2520489243","https://openalex.org/W2963795951","https://openalex.org/W3058842179","https://openalex.org/W3082213779","https://openalex.org/W3089682612","https://openalex.org/W3134566480","https://openalex.org/W4212874935","https://openalex.org/W4297099474","https://openalex.org/W4321614506","https://openalex.org/W4323240614","https://openalex.org/W4383502022","https://openalex.org/W4384407578","https://openalex.org/W4386065385","https://openalex.org/W4386065700","https://openalex.org/W4386071599","https://openalex.org/W4386076087","https://openalex.org/W4387338457","https://openalex.org/W4392172801","https://openalex.org/W4393158476","https://openalex.org/W4394625793","https://openalex.org/W4394625837","https://openalex.org/W4401935126","https://openalex.org/W4402265131","https://openalex.org/W4402704561","https://openalex.org/W4402733588","https://openalex.org/W4402775275","https://openalex.org/W4402917098"],"related_works":[],"abstract_inverted_index":{"Vision-Language":[0],"Models":[1],"(VLMs)":[2],"have":[3],"shown":[4],"remarkable":[5],"capabilities":[6],"in":[7,17,44,111],"processing":[8],"visual":[9],"data":[10],"through":[11],"natural":[12],"language,":[13],"yet":[14],"their":[15,36],"potential":[16],"smart":[18],"surveillance":[19],"for":[20,55,64,150],"abnormal":[21,145],"event":[22,33],"detection":[23,28,87,114],"remains":[24],"underexplored.":[25],"Traditional":[26],"anomaly":[27,66,86,113],"systems":[29],"rely":[30],"on":[31,101,124,153],"predefined":[32],"classes,":[34],"limiting":[35],"ability":[37,136],"to":[38,76,109,137],"identify":[39,138],"novel":[40,59],"or":[41],"ambiguous":[42],"anomalies":[43],"diverse":[45],"scenarios.":[46,155],"To":[47],"address":[48],"this,":[49],"we":[50,70],"propose":[51],"VEZA":[52,106],"(Vision":[53],"Encoding":[54],"Zero-shot":[56],"Anomalies),":[57],"a":[58,141],"architecture":[60],"lever-aging":[61],"pre-trained":[62],"VLMs":[63],"zero-shot":[65],"detection.":[67],"With":[68],"VLMs,":[69],"integrate":[71],"vision":[72],"and":[73,78,84,115,139],"language":[74],"modalities":[75],"encode":[77],"caption":[79],"video":[80],"streams,":[81],"enabling":[82],"flexible":[83],"context-rich":[85],"without":[88,147],"surveillance-specific":[89,154],"training.":[90],"This":[91],"dual-modality":[92],"approach":[93],"enhances":[94],"robustness":[95],"across":[96],"varied":[97],"real-world":[98],"settings.":[99],"Evaluated":[100],"the":[102,125,148],"UCF":[103],"-Crime":[104],"dataset,":[105],"achieved":[107],"up":[108],"89%":[110],"open-vocabulary":[112],"video-text":[116],"retrieval":[117],"tasks,":[118],"with":[119],"45%":[120],"R":[121],"@":[122],"1":[123],"Ubnormal":[126],"dataset":[127],"as":[128],"an":[129],"additional":[130],"evaluation.":[131],"These":[132],"results":[133],"demonstrate":[134],"VEZA's":[135],"retrieve":[140],"wide":[142],"variety":[143],"of":[144],"events":[146],"need":[149],"prior":[151],"training":[152]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}
