Video aesthetic quality assessment using kernel Support Vector Machine with isotropic Gaussian sample uncertainty (KSVM-IGSU).
Christos TzelepisEftichia MavridakiVasileios MezarisIoannis PatrasPublished in: ICIP (2016)
Keyphrases
- quality assessment
- support vector machine
- perceived quality
- image and video processing
- rbf kernel
- quality metrics
- gaussian kernel
- uncertainty handling
- video quality assessment
- kernel function
- reduced reference
- kernel methods
- support vector
- image quality
- video quality
- video summaries
- image quality assessment
- feature space
- data quality
- video streams
- svm classifier
- human visual system
- feature vectors
- video content
- video sequences
- video data
- training data
- visual quality
- feature selection
- perceptual image quality
- data sets
- video frames
- training set
- machine learning
- video processing
- key frames
- image processing
- data mining
- post treatment
- databases