Abo Talib Mahfoodh

Learn More
We propose an example-based super-resolution method for a new framework of scalable video streaming. The proposed method is applicable to scalable video where the enhancement layer of some frames (e.g., within the same Group-of-Pictures) might be dropped due to changing network conditions. This leads to a streaming scenario that we call Inconsistent(More)
In this paper, we exploit the intrinsic tensor-nature of video and propose a Tensor Video Coding (TVC) framework that is based on tensor decomposition. We develop a Progressive Canonical-decomposition Parallel-factor (PCP) framework that is tailored for video representation and coding. Our simulation results show that the proposed TVC approach outperforms(More)
We propose a general framework for parallel entropy coding in media compression, which preserves compression efficiency, and is well matched to future generations of general-purpose or custom processors. Similarly to some previous parallelization methods, it is based on the fact that optimal compression is not affected by the arrangement of coded bits, but(More)
  • 1