DIG: A Data-Driven Impact-Based Grouping Method for Video Rebuffering Optimization.
Shengbin MengChunyu QiaoJunlin LiYue WangZongming GuoPublished in: MMM (2) (2022)
Keyphrases
- data driven
- significant improvement
- optimization algorithm
- experimental evaluation
- computational complexity
- high precision
- optimization method
- objective function
- high accuracy
- data sets
- optimization procedure
- constrained optimization
- synthetic data
- clustering method
- multi view
- support vector machine
- image segmentation
- real time
- image quality
- computational cost
- support vector machine svm
- high resolution
- multiresolution
- video data
- detection method
- evolutionary algorithm
- pairwise
- multiscale
- optimization process
- video summarization