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Optimizing Distributed Source Coding for Interactive Multiview Video Streaming Over Lossy Networks

机译:优化有损网络上交互式多视图视频流的分布式源编码

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In interactive multiview video streaming (IMVS), a user observes one view at a time, but can periodically switch to a desired neighboring captured view as the video is played back in time. Previous IMVS works focus on efficient compression techniques that facilitate interactive view switching. In this paper, in addition to the loss-resilient aspect during network streaming we address how to design efficient coding tools and optimize frame structure for transmission to facilitate view switching and contain error propagation in differentially coded video due to packet losses. We first design a new unified distributed source coding (uDSC) frame—a new coding tool that simultaneously offers view switching and loss-resilient capabilities—for periodic insertion into the multiview frame structure. After inserting uDSC-frames into the coding structure, we schedule packets for network transmission in a rate-distortion optimal manner for both wireless multicast and wired unicast streaming scenarios. For wireless multicast over a Gilbert–Elliott loss model, frames in a group of pictures are packetized and reordered, so that uDSC frames are correctly decoded with high probability, mitigating error propagation. For wired unicast, we use a Markov decision process to optimize packet transmission to minimize expected distortion given a bandwidth constraint. Experimental results show that systems that insert uDSC frames and optimize packet transmission can outperform other competing coding schemes by up to 2.8 and 11.6 dB in wireless multicast and wired unicast streaming scenarios, respectively.
机译:在交互式多视图视频流(IMVS)中,用户一次只能观察一个视图,但是随着视频的回放,用户可以定期切换到所需的相邻捕获视图。以前的IMVS工作重点在于促进交互式视图切换的有效压缩技术。在本文中,除了网络流传输过程中的防丢失能力外,我们还将介绍如何设计有效的编码工具并优化帧结构以进行传输,以利于视图切换并包含由于丢包而导致的差分编码视频中的错误传播。我们首先设计一个新的统一分布式源编码(uDSC)框架(一种新的编码工具,该框架同时提供视图切换和抗丢失能力),用于定期插入多视图框架结构。在将uDSC帧插入编码结构后,我们针对无线多播和有线单播流方案以速率失真最佳的方式调度数据包以进行网络传输。对于基于吉尔伯特-埃利奥特(Gilbert-Elliott)损耗模型的无线多播,将对一组图片中的帧进行打包和重新排序,以便以高概率正确解码uDSC帧,从而减少了错误传播。对于有线单播,我们使用马尔可夫决策过程来优化数据包传输,以在给定带宽约束的情况下最大程度地减少预期的失真。实验结果表明,在无线多​​播和有线单播流方案中,插入uDSC帧并优化数据包传输的系统可以分别比其他竞争编码方案高2.8和11.6 dB。

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