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Advanced Side Information Creation Techniques And Framework For Wyner-ziv Video Coding

机译：Wyner-ziv视频编码的高级辅助信息创建技术和框架

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摘要

Recently, several distributed video coding (DVC) solutions based on the distributed source coding (DSC) paradigm have appeared in the literature. Wyner-Ziv (WZ) video coding, a particular case of DVC where side information is made available at the decoder, enable to achieve a flexible distribution of the computational complexity between the encoder and decoder, promising to fulfill novel requirements from applications such as video surveillance, sensor networks and mobile camera phones. The quality of the side information at the decoder has a critical role in determining the WZ video coding rate-distortion (RD) performance, notably to raise it to a level as close as possible to the RD performance of standard predictive video coding schemes. Towards this target, efficient motion search algorithms for powerful frame interpolation are much needed at the decoder. In this paper, the RD performance of a Wyner-Ziv video codec is improved by using novel, advanced motion compensated frame interpolation techniques to generate the side information. The development of these type of side information estimators is a difficult problem in WZ video coding, especially because the decoder only has available some reference, decoded frames. Based on the regularization of the motion field, novel side information creation techniques are proposed in this paper along with a new frame interpolation framework able to generate higher quality side information at the decoder. To illustrate the RD performance improvements, this novel side information creation framework has been integrated in a transform domain turbo coding based Wyner-Ziv video codec. Experimental results show that the novel side information creation solution leads to better RD performance than available state-of-the-art side information estimators, with improvements up to 2 dB; moreover, it allows outperforming H.264/AVC Intra by up to 3 dB with a lower encoding complexity.
机译：最近，文献中出现了几种基于分布式源编码（DSC）范例的分布式视频编码（DVC）解决方案。 Wyner-Ziv（WZ）视频编码是DVC的一种特殊情况，在解码器中提供了辅助信息，可以在编码器和解码器之间实现计算复杂度的灵活分配，有望满足视频等应用的新要求监视，传感器网络和移动照相电话。解码器中辅助信息的质量在确定WZ视频编码率失真（RD）性能方面起着至关重要的作用，特别是将其提高到尽可能接近标准预测视频编码方案的RD性能的水平。朝着这个目标，在解码器上非常需要用于强大帧内插的有效运动搜索算法。在本文中，Wyner-Ziv视频编解码器的RD性能通过使用新颖的，先进的运动补偿帧插值技术来生成边信息而得以改善。这些类型的辅助信息估计器的开发是WZ视频编码中的一个难题，特别是因为解码器仅具有一些可用的参考解码帧。基于运动场的正则化，本文提出了新颖的辅助信息创建技术，以及能够在解码器处生成更高质量辅助信息的新帧插值框架。为了说明RD性能的改进，此新颖的辅助信息创建框架已集成到基于Wyner-Ziv视频编解码器的变换域Turbo编码中。实验结果表明，与可用的最新辅助信息估计器相比，新颖的辅助信息创建解决方案可提供更好的RD性能，并提高了2 dB；此外，它允许以低3 dB的性能优于H.264 / AVC帧内，并降低了编码复杂度。

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