H.264错误隐藏的自适应运动矢量检索方法

Lei Wang, Jun Wang, S. Goto, T. Ikenaga
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引用次数: 2

摘要

随着Internet和无线网络的普及,H.264视频通信越来越普及。然而,由于采用了高效的预测编码和变长熵编码,对传输误差更加敏感。错误隐藏(EC)是一种利用空间和时间相关性来隐藏损坏区域的方法。本文首先提出了受H.264中可变块大小运动估计(VBSME)启发的可变块大小错误隐藏(VBSEC)方案。该方案提供了四种EC模式和四个子块分区。将整个损坏的宏块(MB)根据实际运动情况,采用可变块大小的方法进行分割。在此基础上,提出了利用三步搜索(TSS)算法自适应细化异构子块MV的MV细化方案。VBSEC和MVR都基于改进的时空边界匹配算法(STBMA)。利用这些方案,可以更准确地重建帧间损坏的MB。实验结果表明,与JM11.0参考软件中采用的边界匹配算法(BMA)和STBMA相比,本文提出的方案可获得最大PSNR增益分别为1.82dB和1.52dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Motion Vector Retrieval Schemes for H.264 Error Concealment
With the ubiquitous application of Internet and wireless networks, H.264 video communication becomes more and more popular. However, due to the high-efficiently predictive coding and the variable length entropy coding, it is more sensitive to transmission errors. Error concealment (EC) is just an approach to utilize the spatial and temporal correlations to conceal the corrupted region. In this paper, first we propose variable block size error concealment (VBSEC) scheme inspired by variable block size motion estimation (VBSME) in H.264. This scheme provides four EC modes and four sub-block partitions. The whole corrupted macro-block (MB) will be divided into variable block size adoptively according to the actual motion. More precise motion vectors (MV) will be predicted for each sub-block Then MV refinement (MVR) scheme is proposed to refine the MV of the heterogeneous sub-block by utilizing three step search (TSS) algorithm adaptively. Both VBSEC and MVR are based on our improved spatio-temporal boundary matching algorithm (STBMA). By utilizing these schemes, we can reconstruct the corrupted MB in the inter frame more accurately. The experimental results show that our proposed scheme can obtain maximum PSNR gain up to 1.82dB and 1.52dB, respectively compared with the boundary matching algorithm (BMA) adopted in the JM11.0 reference software and STBMA.
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