Inferring contextual preferences using deep encoder-decoder learners.
Moshe UngerBracha ShapiraLior RokachAmit LivnePublished in: New Rev. Hypermedia Multim. (2018)
Keyphrases
- video codec
- decoding process
- distributed video coding
- error control
- low complexity
- wyner ziv video coding
- noisy channel
- successive approximation
- learning preferences
- wyner ziv
- video coding
- mpeg avc
- rate distortion
- video coding scheme
- contextual information
- bit rate
- distributed source coding
- learning systems
- motion estimation
- learning experience
- turbo codes
- video quality
- error resilience
- learning environment
- transform domain
- error correction
- e learning
- learning activities
- rate allocation
- learning materials
- learning process
- motion compensated prediction
- learning styles
- language learning
- video compression
- user preferences
- temporal correlation
- video coder
- motion compensation
- video transcoding
- motion vectors
- vector quantization
- bit rate reduction
- bit budget
- compressive sensing
- packet loss
- motion compensated
- image quality