I. INTRODUCTION  
II. REVIEW METHODOLOGY  
III. RELATED WORK  
A. CONTRIBUTIONS  
IV. DEFINING THE VIDEO ANOMALY DETECTION PROBLEM  
V. ANALYZING VIDEO ANOMALY DETECTION: A SYSTEMATIC APPROACH  
A. DATASETS BUILDING AND SELECTION  
C. LEARNING AND SUPERVISION SCHEMES  
D. LOSS FUNCTIONS  
E. REGULARIZATION  
F. ANOMALY SCORE  
VI. MODEL EVALUATION  
B. EVALUATION METRICS  
VII. COMPARATIVE ANALYSIS OF SOTA MODELS  
B. QUALITATIVE COMPARISON  
VIII. VISUALIZING BIBLIOMETRIC NETWORKS FOR THEMATIC ANALYSIS  
IX. DISCUSSION AND FUTURE RESEARCH  
A. FUTURE DIRECTIONS FOR RESEARCH