A Fine Grained Quality Assessment of Video Anomaly Detection.
Jiang ZhouKevin McGuinnessJoseph AntonyNoel E. O'ConnorPublished in: CBMI (2022)
Keyphrases
- fine grained
- anomaly detection
- quality assessment
- quality metrics
- video quality assessment
- reduced reference
- coarse grained
- intrusion detection
- detecting anomalies
- image quality
- network traffic
- video sequences
- anomalous behavior
- access control
- image quality assessment
- network intrusion detection
- video quality
- network anomaly detection
- human visual system
- video content
- video data
- data quality
- intrusion detection system
- visual quality
- one class support vector machines
- unsupervised learning
- negative selection algorithm
- network security
- detect anomalies
- graphical models
- databases
- object recognition
- face recognition
- search engine