{"id":"https://openalex.org/W4416848063","doi":"https://doi.org/10.3390/info16121042","title":"Enhancing Weakly Supervised Video Anomaly Detection with Object-Centric Features","display_name":"Enhancing Weakly Supervised Video Anomaly Detection with Object-Centric Features","publication_year":2025,"publication_date":"2025-11-30","ids":{"openalex":"https://openalex.org/W4416848063","doi":"https://doi.org/10.3390/info16121042"},"language":"en","primary_location":{"id":"doi:10.3390/info16121042","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16121042","pdf_url":"https://www.mdpi.com/2078-2489/16/12/1042/pdf?version=1764490067","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/16/12/1042/pdf?version=1764490067","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024193709","display_name":"Y.-W. Wang","orcid":"https://orcid.org/0000-0001-5226-2537"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yanyu Wang","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore 639768, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-5226-2537","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore 639768, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350377","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0001-8697-003X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore 639768, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-8697-003X","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore 639768, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006146465","display_name":"Chai Kiat Yeo","orcid":"https://orcid.org/0000-0002-7618-1472"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Kiat Yeo","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore 639768, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7618-1472","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore 639768, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024193709"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.792,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92152902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"16","issue":"12","first_page":"1042","last_page":"1042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9879000186920166,"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":0.9879000186920166,"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":0.004800000227987766,"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/T11439","display_name":"Video Analysis and Summarization","score":0.0010000000474974513,"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":0.8170999884605408},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6455000042915344},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6136000156402588},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5583000183105469},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5285999774932861},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46639999747276306},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.39800000190734863},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.3952000141143799}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8170999884605408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402999997138977},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6262000203132629},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6136000156402588},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5285999774932861},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41179999709129333},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.39800000190734863},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3880999982357025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.29649999737739563},{"id":"https://openalex.org/C2986045029","wikidata":"https://www.wikidata.org/wiki/Q294240","display_name":"Public security","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2554999887943268}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info16121042","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16121042","pdf_url":"https://www.mdpi.com/2078-2489/16/12/1042/pdf?version=1764490067","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/209079","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/209079","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:db5858e9962a4fd49b446f84cf640d7a","is_oa":true,"landing_page_url":"https://doaj.org/article/db5858e9962a4fd49b446f84cf640d7a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 16, Iss 12, p 1042 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info16121042","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16121042","pdf_url":"https://www.mdpi.com/2078-2489/16/12/1042/pdf?version=1764490067","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1386604617","display_name":null,"funder_award_id":"RG100/23","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G1403759671","display_name":null,"funder_award_id":"03INS001984C130","funder_id":"https://openalex.org/F4320320766","funder_display_name":"Nanyang Technological University"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416848063.pdf","grobid_xml":"https://content.openalex.org/works/W4416848063.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2341058432","https://openalex.org/W2752782242","https://openalex.org/W2753526808","https://openalex.org/W2777342313","https://openalex.org/W2810550035","https://openalex.org/W2901758161","https://openalex.org/W2921491036","https://openalex.org/W2963037989","https://openalex.org/W2963524571","https://openalex.org/W2963610939","https://openalex.org/W2963795951","https://openalex.org/W2970271202","https://openalex.org/W3034885317","https://openalex.org/W3035021504","https://openalex.org/W3035240825","https://openalex.org/W3035699237","https://openalex.org/W3040266635","https://openalex.org/W3042642865","https://openalex.org/W3081430643","https://openalex.org/W3089682612","https://openalex.org/W3109915642","https://openalex.org/W3133661165","https://openalex.org/W3136793533","https://openalex.org/W3184778778","https://openalex.org/W3212899624","https://openalex.org/W4200599876","https://openalex.org/W4205471456","https://openalex.org/W4291819654","https://openalex.org/W4312554543","https://openalex.org/W4386076087","https://openalex.org/W4386076325","https://openalex.org/W4403770406"],"related_works":[],"abstract_inverted_index":{"Surveillance":[0],"cameras":[1],"are":[2],"extensively":[3],"deployed":[4],"across":[5],"public":[6],"and":[7,119],"private":[8],"environments,":[9],"driving":[10],"the":[11,69,107,147],"need":[12],"for":[13,143,152],"intelligent":[14],"video":[15],"monitoring":[16],"systems.":[17],"However,":[18],"a":[19,49,140],"major":[20],"challenge":[21,44],"arises":[22],"in":[23],"Weakly":[24],"Supervised":[25],"Video":[26],"Anomaly":[27],"Detection":[28],"(WSVAD),":[29],"where":[30],"supervision":[31],"is":[32,45],"limited":[33],"to":[34,94,128],"video-level":[35],"labels,":[36],"making":[37],"snippet-level":[38],"anomaly":[39,78,155],"localisation":[40],"particularly":[41],"difficult.":[42],"This":[43],"often":[46,67],"formulated":[47],"as":[48],"Multiple":[50],"Instance":[51],"Learning":[52],"(MIL)":[53],"problem.":[54],"Although":[55],"recent":[56],"approaches":[57,151],"have":[58],"achieved":[59],"encouraging":[60],"results":[61,133],"by":[62,89],"modelling":[63],"spatio-temporal":[64],"dynamics,":[65],"they":[66],"overlook":[68],"semantic":[70,103],"information":[71,104],"within":[72],"videos":[73],"that":[74,105,122,135],"could":[75],"further":[76],"enhance":[77],"detection.":[79,156],"To":[80],"bridge":[81],"this":[82],"gap,":[83],"we":[84],"propose":[85],"enriching":[86],"feature":[87],"representations":[88],"applying":[90],"object":[91],"detection":[92],"techniques":[93],"extract":[95],"object-centric":[96],"features.":[97],"These":[98],"features":[99],"provide":[100],"supplementary":[101],"high-level":[102],"supports":[106],"discrimination":[108],"of":[109,149],"anomalous":[110],"events.":[111],"Experiments":[112],"conducted":[113],"on":[114],"two":[115],"benchmark":[116],"datasets,":[117],"UCF-Crime":[118],"ShanghaiTech,":[120],"demonstrate":[121],"our":[123],"approach":[124],"achieves":[125],"performance":[126],"comparable":[127],"state-of-the-art":[129],"(SOTA)":[130],"methods.":[131],"The":[132],"highlight":[134],"incorporating":[136],"object-level":[137],"semantics":[138],"offers":[139],"promising":[141],"direction":[142],"improving":[144],"WSVAD,":[145],"underscoring":[146],"potential":[148],"semantic-aware":[150],"more":[153],"effective":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-12-01T00:00:00"}
