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Wyner-Ziv Video Coding Based on Turbo Codes Exploiting Perfect Knowledge of Parity Bits

机译:基于Turbo码的Wyner-Ziv视频编码充分利用奇偶校验位的知识

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In a Wyner-Ziv video coding system based on turbo codes, parity bits are generated for a Wyner-Ziv frame and transmitted to the decoder. In this context of distributed source coding, we can assume that the transmission of the parity bits is guaranteed to be error-free by the lower network layers. In our work, we propose a simple method to exploit the guaranteed reliability of the parity bits so that the turbo decoding achieves a better performance. The proposed scheme is to assign the parity bits a higher weight than the information bits in turbo decoding. Our simulation on binary sequences shows that the proposed scheme enables turbo codes to come closer to the Slepian-Wolf bound in distributed lossless source coding. When it is applied toWyner-Ziv video coding, the bit rate is reduced by 2% -4% for a given video quality. Although the gain is relatively small, it comes for free, because all that we have to do is to multiply the parity bits with a sufficiently large factor before the decoding process starts.
机译:在基于turbo码的Wyner-Ziv视频编码系统中,为Wyner-Ziv帧生成奇偶校验位,并将其发送到解码器。在分布式源编码的上下文中,我们可以假设较低网络层保证奇偶校验位的传输没有错误。在我们的工作中,我们提出了一种简单的方法来利用奇偶校验位的保证可靠性,以便Turbo解码获得更好的性能。所提出的方案是在turbo解码中为奇偶校验位分配比信息比特更高的权重。我们对二进制序列的仿真表明,所提出的方案使Turbo码更接近于分布式无损源编码中的Slepian-Wolf界。当将其应用于Wyner-Ziv视频编码时,对于给定的视频质量,比特率降低2%-4%。尽管增益相对较小,但它是免费提供的,因为我们要做的就是在解码过程开始之前将奇偶校验位乘以足够大的因子。

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