Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering.
Jari KorhonenPublished in: CVPR (2019)
Keyphrases
- image quality
- collaborative filtering
- image features
- recommender systems
- human observers
- image data
- matrix factorization
- visual quality
- compression ratio
- computer vision
- data sparsity
- human visual system
- high quality
- reconstructed image
- image representation
- bit rate
- keypoints
- image classification
- image resolution
- quality assessment
- object recognition
- user satisfaction
- feature vectors
- image content
- quality prediction
- deal with information overload
- error diffusion
- peak signal to noise ratio
- image quality measures
- user preferences
- lossy compression
- pixel values
- perceived usefulness
- human visual sensitivity
- standard test images
- image quality metrics
- recommendation systems
- cold start problem
- image quality assessment
- image degradation
- personalized recommendation
- object models
- high image quality
- web page recommendation
- user interests