An improved inter frame error concealment in H.264/AVC

Jim Wang, Lei Wang, Lili Shen, T. Ikenaga, S. Goto
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引用次数: 4

Abstract

Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Aimed this problem, non-normative error concealment (EC) is recommended in H.264/AVC to recover the lost image. By analyzing of non-normative inter EC, this paper focused on improvement of it. Firstly, since the "guessed'Vrecovered MV (motion vector) in existing EC is not so close to the real MV, a refined MV recovery is proposed to get a more accurate "guessed" MV. Secondly an improved MV selection criterion (side matching criterion) is proposed, which is trying to "guess'Vapproach a lost MB (macroblock)'s real/original side match distortion, instead of "guess'Vapproach value 0 in traditional inter EC. In addition, for MV refinement scheme, inspired by MV searching in motion estimation, we adopt a diamond searching for MV recovery. Both objective and subjective image quality evaluation in experiments show that our proposal achieves a better image recovery compared with non-normative inter EC.
H.264/AVC帧间错误隐藏的改进
在容易出错的信道上传输压缩视频可能会导致丢包或错误,从而严重降低图像质量。针对这一问题,建议在H.264/AVC中采用非规范错误隐藏(EC)来恢复丢失的图像。本文通过对非规范电子商务的分析,着重探讨了电子商务的改进。首先,针对现有EC中“猜测的”恢复MV(运动矢量)与实际MV不太接近的问题,提出了一种改进的MV恢复方法,以获得更准确的“猜测的”MV。其次,提出了一种改进的MV选择准则(侧匹配准则),该准则试图“猜测”接近丢失的MB(宏块)的真实/原始侧匹配失真,而不是传统的inter - EC中“猜测”v接近值为0。此外,在MV的细化方案中,受运动估计中MV搜索的启发,采用菱形搜索进行MV恢复。客观和主观的图像质量评价实验表明,与非规范的inter - EC相比,我们的方案实现了更好的图像恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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