Unsupervised Anomaly Detection Approach for Shift Quality Assessment Using Deep Neural Networks.
Geesung OhJoonghoo ParkKyunghun HwangSejoon LimPublished in: IV (2022)
Keyphrases
- quality assessment
- neural network
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- image and video processing
- image quality
- pattern recognition
- video quality
- intrusion detection
- image quality assessment
- human visual system
- data quality
- quality metrics
- data sets
- feature vectors
- visual quality
- image processing
- reduced reference
- video quality assessment
- perceptual image quality
- databases