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Adaptive temporal error concealment method based on the MB behavior estimation in the video

机译:基于视频MB行为估计的自适应时间错误隐藏方法

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In this paper, an adaptive error concealment method is proposed to recover the motion vectors of degraded macroblocks (MBs) in a frame, based on analyzing the behavior of the MBs in the frames. In this method, the behavior of the degraded MB is first estimated considering the obtained information from motion vectors of neighboring MBs in the current frame and collocated MBs in the previous frames. Then, an appropriate algorithm is selected for recovering the motion vector of degraded MB using the adaptive algorithm. Results of simulation performed on various video sequences show that in comparison with the outer boundary matching algorithm (OBMA), the proposed method can reach the maximum frame performance and average frame performance of 2.4dB and 0.2dB per video sequence, respectively.
机译:在本文中,提出了一种自适应错误隐藏方法,该方法通过分析帧中退化的宏块(MB)的行为来恢复帧中退化的宏块(MB)的运动矢量。在这种方法中,首先考虑从当前帧中相邻MB的运动矢量和先前帧中并置MB的运动矢量获取的信息,首先估算退化MB的行为。然后,选择适当的算法以使用自适应算法来恢复降级的MB的运动矢量。对各种视频序列进行的仿真结果表明,与外边界匹配算法(OBMA)相比,该方法可以达到每个视频序列的最大帧性能和平均帧性能分别为2.4dB和0.2dB。

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