Refinement of the recovered motion vectors for error concealment in HEVC

Abstract

For error concealment of the relatively large corrupted areas in High Efficiency Video Coding (HEVC), the available spatial information is far from the corrupted region and cannot be directly exploited for error concealment. In this paper, a method is proposed to use the spatial information in a new manner to refine the already recovered Motion Vectors (MVs). The refinement method works based on boundary matching and adaptively selection among three approaches for fine tuning of the temporal MVs. The experiments show that the refinement leads to a significant improvement, 2–7 dB in PSNR, for some frames, and the highest MS-SSIM against the state of the art methods. Another important feature of the proposed method is its generality; which can be added on top of other MV recovery methods. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.