{"id":"W4404985487","doi":"10.48550/arxiv.2411.14565","title":"Privacy-Preserving Video Anomaly Detection: A Survey","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Mitacs; National Natural Science Foundation of China","keywords":"Anomaly detection; Internet privacy; Computer science; Computer security; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005140374,0.001417127,0.001698165,0.003726503,0.0008048284,0.003440714,0.003569476,0.002025752,0.001961913],"category_scores_gemma":[0.02255828,0.0006977381,0.001659843,0.004742946,0.001334429,0.007100529,0.002134106,0.002315137,0.001319098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436939,"about_ca_system_score_gemma":0.001644633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753319,"about_ca_topic_score_gemma":0.001050238,"domain_scores_codex":[0.9936455,0.001418325,0.00064094,0.001340583,0.002690429,0.0002642257],"domain_scores_gemma":[0.9816896,0.01266359,0.0007335939,0.002391537,0.002286676,0.000235016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001184565,0.0001283487,0.004173785,0.001865274,0.0001638547,0.0001300268,0.0002240039,0.00919781,0.002520693,0.0161294,0.01087836,0.9544702],"study_design_scores_gemma":[0.00008228734,0.0009486845,0.01623385,0.003731123,0.0007314252,0.008559009,0.00170033,0.3842347,0.03933546,0.1113928,0.4326561,0.0003942288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0185049,0.2813992,0.6681362,0.005659058,0.0007939115,0.0004489375,0.001174398,0.003001124,0.02088227],"genre_scores_gemma":[0.3620393,0.3243338,0.2982191,0.002837984,0.002107949,0.0004476923,0.003546997,0.0005390542,0.005928104],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005140374,"threshold_uncertainty_score":0.02718526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07994231064327328,"score_gpt":0.2067769634648469,"score_spread":0.1268346528215736,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}