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A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques

机译:使用Wyner-Ziv技术的自适应可伸缩视频编码框架

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This paper proposes a practical video coding framework based on distributed source coding principles, with the goal to achieve efficient and low-complexity scalable coding. Starting from a standard predictive coder as base layer (such as MPEG-4 baseline video coder in our implementation), the proposed Wyner-Ziv scalable (WZS) coder can achieve higher coding efficiency, by selectively exploiting the high quality reconstruction of the previous frame in the enhancement layer coding of the current frame. This creates a multi-layer Wyner-Ziv prediction "link," connecting the same bitplane level between successive frames, thus providing improved temporal prediction as compared to MPEG-4 FGS, while keeping complexity reasonable at the encoder. Since the temporal correlation varies in time and space, a block-based adaptive mode selection algorithm is designed for each bitplane, so that it is possible to switch between different coding modes. Experimental results show improvements in coding efficiency of 3–4.5 dB over MPEG-4 FGS for video sequences with high temporal correlation.
机译:本文提出了一种基于分布式源编码原理的实用视频编码框架,旨在实现高效,低复杂度的可扩展编码。从标准的预测编码器作为基础层(例如在我们的实现中为MPEG-4基准视频编码器)开始,所提出的Wyner-Ziv可扩展(WZS)编码器可以通过有选择地利用前一帧的高质量重建来实现更高的编码效率。在当前帧的增强层编码中。这创建了多层Wyner-Ziv预测“链接”,在连续帧之间连接了相同的位平面级别,从而与MPEG-4 FGS相比提供了改进的时间预测,同时保持了编码器的合理性。由于时间相关性在时间和空间上变化,因此针对每个位平面设计了基于块的自适应模式选择算法,从而可以在不同的编码模式之间进行切换。实验结果表明,对于具有高时间相关性的视频序列,其编码效率比MPEG-4 FGS提高了3-4.5 dB。

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