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

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 boundary‐matching approach is exploited to reduce blocky effects along the block boundary. More specifically, a downhill simplex approach is combined with a boundary‐matching 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.