Robust Video Coding Based on Multiple Description Scalar Quantization With Side Information
Robust Video Coding Based on Multiple Description Scalar Quantization With Side Information
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DOI：
10.1109/tcsvt.2010.2045805
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发表时间：
2010-06
影响因子：
8.4
通讯作者：
Olivier Crave;B. Pesquet-Popescu;C. Guillemot
中科院分区：
文献类型：
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作者：
Olivier Crave;B. Pesquet-Popescu;C. Guillemot
本文讨论了在有损耗的Internet网络上进行鲁棒传输的视频压缩问题。开发的方法依赖于多描述编码（MDC）的原则。预测多描述视频编码已经被考虑用于在有损信道上的鲁棒视频传输。然而，已知MDC在与运动补偿预测组合时遭受预测失配：在存在损失的情况下，解码器处可用的预测信号可能不同于编码器处使用的预测信号。在本文中，我们描述了一种基于MDC和Wyner-Ziv（WZ）编码的视频压缩方案。输入序列被构造成包含一个关键帧和一个WZ帧的图片组。每个帧首先用小波变换进行变换，并且用多描述标量量化器对所得到的频带进行量化。因此产生视频输入的两个平衡描述。WZ帧的量化索引使用基于低密度奇偶校验累积的Slepian-Wolf（SW）编码器进行编码。横向接收器首先解码接收到的关键帧横向描述，然后通过运动补偿内插构造解码相应WZ帧描述所需的边信息。在接收到两个WZ数据描述的情况下，中央解码器可以对两个量化索引序列执行单独的SW解码。还描述了两个WZ描述的联合迭代解码方法，其提高了中心WZ数据解码性能，然而，以增加解码复杂度为代价。提出的迭代解码技术和冗余量的横向和中央率失真性能的算法的影响进行了研究。
This paper addresses the problem of video compression for robust transmission on lossy Internet networks. The approach developed relies on multiple description coding (MDC) principles. Predictive multiple description video coding has already been considered for robust video transmission over lossy channels. However, MDC, when combined with motion-compensated prediction, is known to suffer from predictive mismatch: in presence of losses, the prediction signal available at the decoder may differ from the one used at the encoder. In this paper, we describe a video compression scheme based on MDC and Wyner-Ziv (WZ) coding. The input sequence is structured into groups of pictures which contain one key frame and one WZ frame. Each frame is first transformed with a wavelet transform and the resulting frequency bands are quantized with a multiple description scalar quantizer. Two balanced descriptions of the video input are thus generated. The quantization indexes of the WZ frames are coded with an low-density parity-check accumulate-based Slepian-Wolf (SW) coder. The lateral receivers first decode the received key frame lateral descriptions, and then construct the side information needed for decoding the corresponding WZ frame descriptions by motion-compensated interpolation. In the case where the two WZ data descriptions are received, the central decoder can perform a separate SW decoding of the two sequences of quantization indexes. A joint iterative decoding approach of the two WZ descriptions is also described which improve the central WZ data decoding performance, however, at the expense of increased decoding complexity. The influence of the proposed iterative decoding technique and of the amount of redundancy on the lateral and central rate-distortion performance of the algorithm is studied.