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Robust transmission of video sequence over noisy channel usingparity-check motion vector

机译:使用奇偶校验运动矢量在噪声通道上稳健传输视频序列

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摘要

Motion compensation-discrete cosine transform (MC-DCT) coding is an efficient compression technique for digital video sequences. However, the compressed video signal is vulnerable to transmission errors over noisy channels. In this paper, we introduce a novel concept of parity-check motion vector (PMV) into the MC-DCT coder in order to improve its error robustness. By inserting the redundant PMVs systematically into the compressed bitstream, the proposed algorithm is capable of recovering very severe transmission errors, such as loss of an entire frame, in addition to detecting the errors effectively without requesting any information from external devices. The proposed algorithm is implemented based on the H.263 coder, and tested intensively in a realistic error prone environment. It is shown that the proposed algorithm provides much better objective and subjective performances than the conventional H.263 coder in the error prone environment
机译:运动补偿离散余弦变换(MC-DCT)编码是一种用于数字视频序列的有效压缩技术。然而,压缩的视频信号容易受到在有噪声信道上的传输错误的影响。在本文中,我们将奇偶校验运动矢量(PMV)引入MC-DCT编码器的新概念,以提高其错误鲁棒性。通过将冗余的PMV系统地插入压缩的比特流中,该算法除了能够有效地检测出错误而无需从外部设备请求任何信息之外,还能够恢复非常严重的传输错误,例如整个帧的丢失。所提出的算法是基于H.263编码器实现的,并在实际的容易出错的环境中进行了严格的测试。结果表明,在容易出错的环境下,该算法比常规的H.263编码器具有更好的主观和主观性能。

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