Motion-Vector Refinement for Video Error Concealment Using Downhill Simplex Approach

Abstract

In error-prone wireless environments, it is difficult to realize video coding systems that are robust to various types of data loss. In this paper, a novel motion-vector refinement approach is presented for video error concealment. A traditional boundarymatching approach is exploited to reduce blocky effects along the block boundary. More specifically, a downhill simplex approach is combined with a boundarymatching approach to fine-tune the motion vectors, reducing the blocky effects along the prediction unit block boundary, and minimizing the computational cost. Extensive simulations are performed, and the results obtained verify the robustness and effectiveness of the proposed approach.

Impact of packet loss on 4K UHD video for portable devices

“…However, blockiness as a result of this form of HEVC error concealment is still reported. Therefore, in [23] downhill Simplex optimization was applied at block boundaries to reduce blockiness and the computational overhead of the search, though it remains to be seen, as the computational overhead is unreported in [23], whether such a method is suitable for portable devices and that it is possible to avoid local minimums. Other forms of error concealment are reviewed in [23] but it is apparent from the discussion of HEVC motion copy concealment that the development of sufficient methods is complex and may face issues of computational overhead on portable devices with constrained battery consumption.…”