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Predictive multiple description coding using coset codes

机译:使用陪集码的预测性多描述编码

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Multiple Description (MD) coding of predictively coded sources is of practical interest in several multimedia applications such as redundant storage of video/audio data, and real-time video/audio telephony. A key problem associated with predictive MD coding is the occurrence of predictive mismatch. In the present paper, we pose the problem of predictive MD coding as a variant of the Wyner-Ziv decoder side-in formation problem. We propose an approach based on the use of coset codes for predictive MD coding, which avoids predictive mismatch without requiring restrictive channel assumptions or high latency. We specifically consider two-channel predictive MD coding of a first-order Gauss-Markov process. Results indicate that the proposed approach significantly out-performs alternative approaches in terms of rate-distortion performance.
机译:预测编码源的多描述(MD)编码在几种多媒体应用中具有实际意义,例如视频/音频数据的冗余存储以及实时视频/音频电话。与预测MD编码相关的关键问题是预测失配的发生。在本文中,我们将预测MD编码问题作为Wyner-Ziv解码器侧入形成问题的一种变体。我们提出了一种基于将陪集码用于预测MD编码的方法,该方法可避免预测失配而无需限制性信道假设或高等待时间。我们专门考虑一阶高斯-马尔可夫过程的两通道预测MD编码。结果表明,在速率失真性能方面,所提出的方法明显优于其他方法。

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