MetaABR: A Meta-Learning Approach on Adaptative Bitrate Selection for Video Streaming.
Wenzhong LiXiang LiYeting XuYi YangSanglu LuPublished in: IEEE Trans. Mob. Comput. (2024)
Keyphrases
- meta learning
- video streaming
- video quality
- bit rate
- rate control
- rate adaptation
- video coding
- learning tasks
- inductive learning
- packet loss
- bitstream
- rate distortion
- quality assessment
- cross layer
- model selection
- video content
- frame rate
- video transmission
- image quality
- error propagation
- error concealment
- machine learning algorithms
- application layer
- visual quality
- compressed video
- wireless channels
- video streams
- scalable video
- peer to peer
- error resilient
- multiple description coding
- multiple description
- feature selection
- rate distortion optimized
- machine learning
- coding efficiency
- subband
- macroblock
- inter frame
- low complexity
- wireless networks
- multiresolution
- computational complexity
- motion vectors
- compression efficiency
- packet losses
- video sequences
- data mining
- motion estimation
- video on demand