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Side Information Estimation And New Symmetric Schemes For Multi-view Distributed Video Coding

机译:多视图分布式视频编码的边信息估计和新的对称方案

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This paper deals with distributed video coding (DVC) for multi-view sequences. DVC of multi-view sequences is a recent field of research, with huge potential impact in applications such as videosurveil-lance, real-time event streaming from multiple cameras, and, in general, immersive communications. It raises however several problems, and in this paper we tackle two of them. Based on the principles of Wyner-Ziv (WZ) coding, in multi-view DVC many estimations can be generated in order to create the side information (SI) at the decoder. It has been shown that the quality of the SI strongly influences the global coding performances. Therefore, this paper proposes to study the contribution of multiple SI estimations (in the temporal and view directions) to the global performances. Moreover, we propose new symmetric schemes for longer group of pictures (GOP) in multi-view DVC and show that we can further exploit the long-term correlations using a new kind of estimation, called diagonal. For such schemes, several decoding strategies may be envisaged. We perform a theoretical study of the temporal and interview dependencies, and confirm by experiments the conclusion about the best decoding strategy.
机译:本文涉及用于多视图序列的分布式视频编码(DVC)。多视图序列的DVC是最近的研究领域,它对诸如视频监视,多台摄像机的实时事件流以及沉浸式通信等应用具有巨大的潜在影响。但是,这带来了几个问题,在本文中,我们将解决其中两个问题。基于Wyner-Ziv(WZ)编码的原理,在多视图DVC中,可以生成许多估计,以便在解码器处创建辅助信息(SI)。已经表明,SI的质量强烈影响全局编码性能。因此,本文建议研究多个SI估计(在时间和视图方向上)对全局性能的贡献。此外,我们为多视图DVC中的较长图片组(GOP)提出了新的对称方案,并表明我们可以使用一种称为对角线的新型估算来进一步利用长期相关性。对于这样的方案,可以设想几种解码策略。我们对时间和采访依存关系进行了理论研究,并通过实验确认了有关最佳解码策略的结论。

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