Robustness and prediction accuracy of Machine Learning for objective visual quality assessment.
Andrew HinesPaul KendrickAdriaan BarriManish NarwariaJudith A. RediPublished in: EUSIPCO (2014)
Keyphrases
- prediction accuracy
- quality assessment
- machine learning
- subjective quality
- quality metrics
- reduced reference
- objective measures
- video quality assessment
- predictive accuracy
- image quality
- image quality assessment
- image and video processing
- human visual system
- improve the prediction accuracy
- ensemble methods
- video quality
- predictive power
- image quality measures
- visual information
- data quality
- data mining
- information extraction
- feature selection
- visual quality
- visual perception
- visual features
- subjective evaluation
- image quality metrics
- search engine
- uncertainty handling
- machine learning methods
- high frequency
- multiresolution
- feature space
- computational complexity
- high level
- databases