{"id":"https://openalex.org/W7161123270","doi":"https://doi.org/10.48550/arxiv.2605.12725","title":"Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models","display_name":"Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161123270","doi":"https://doi.org/10.48550/arxiv.2605.12725"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12725","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12725","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.12725","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020125191","display_name":"Furkan Mumcu","orcid":"https://orcid.org/0009-0007-3891-5117"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mumcu, Furkan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136184248","display_name":"Michael J. Jones","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jones, Michael J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024613828","display_name":"Anoop Cherian","orcid":"https://orcid.org/0000-0002-5566-0351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cherian, Anoop","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136112214","display_name":"Yasin Yilmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilmaz, Yasin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9429000020027161,"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":0.9429000020027161,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.02759999968111515,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.004399999976158142,"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/anomaly-detection","display_name":"Anomaly detection","score":0.746399998664856},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7009000182151794},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.6941999793052673},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48420000076293945},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.40389999747276306},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.38670000433921814}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.746399998664856},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7009000182151794},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.6941999793052673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547999978065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5160999894142151},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48420000076293945},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35359999537467957},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2777152325","wikidata":"https://www.wikidata.org/wiki/Q108163","display_name":"Proposition","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12725","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12725","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12725","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12725","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"video":[1],"anomaly":[2,78,102],"detection":[3,103],"research":[4],"has":[5,26,36],"expanded":[6],"rapidly":[7],"with":[8,120],"an":[9],"emphasis":[10],"on":[11,56,171],"general":[12],"models":[13,68,72],"of":[14,49,88,107,124,158,182],"normality":[15,136,183],"intended":[16],"to":[17,28,73,75,82,104],"work":[18],"across":[19],"many":[20],"different":[21],"scenes.":[22],"While":[23],"this":[24,111],"focus":[25,170],"led":[27],"improvements":[29],"in":[30,166],"scalability":[31],"and":[32,46,60,100,143,150,161,174],"multi-scene":[33],"generalization,":[34],"it":[35],"also":[37],"shifted":[38],"the":[39,44,85,121,155,179],"field":[40],"away":[41],"from":[42,64,84],"modeling":[43],"scene-specific":[45],"context-dependent":[47],"nature":[48],"normal":[50,86],"behavior.":[51],"Contemporary":[52],"approaches":[53],"frequently":[54],"rely":[55],"video-level":[57],"weak":[58],"supervision":[59],"opaque":[61],"pretrained":[62],"representations":[63],"multi-modal":[65],"large":[66],"language":[67],"(MLLMs),":[69],"which":[70,127],"encourage":[71],"respond":[74],"familiar":[76],"semantic":[77,98],"categories":[79],"rather":[80],"than":[81],"deviations":[83],"patterns":[87],"a":[89,105,132],"particular":[90],"environment.":[91],"This":[92],"trend":[93],"suppresses":[94],"spatial":[95],"localization,":[96],"introduces":[97],"bias,":[99],"reduces":[101],"form":[106],"action":[108],"recognition.":[109],"In":[110],"paper,":[112],"we":[113,153],"examine":[114],"whether":[115],"these":[116,159],"prevailing":[117],"formulations":[118,176],"align":[119],"core":[122],"requirements":[123],"real-world":[125],"VAD,":[126],"is":[128,137],"typically":[129],"performed":[130],"within":[131,184],"single":[133],"scene":[134],"where":[135],"determined":[138],"by":[139],"local":[140],"geometry,":[141],"semantics,":[142],"activity":[144],"patterns.":[145],"Through":[146],"targeted":[147],"visual":[148],"analyses":[149],"empirical":[151],"evaluations,":[152],"demonstrate":[154],"practical":[156],"consequences":[157],"limitations":[160],"show":[162],"that":[163,177],"meaningful":[164],"progress":[165],"VAD":[167],"requires":[168],"renewed":[169],"single-scene,":[172],"spatially-aware,":[173],"explainable":[175],"capture":[178],"nuanced":[180],"structure":[181],"individual":[185],"environments.":[186]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-15T00:00:00"}