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Systematic analysis of the decoding delay in multiview video

机译:多视点视频解码延迟的系统分析

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We present a framework for the analysis of the decoding delay in multiview video coding (MVC). We show that in real-time applications, an accurate estimation of the decoding delay is essential to achieve a minimum communication latency. As opposed to single-view codecs, the complexity of the multiview prediction structure and the parallel decoding of several views requires a systematic analysis of this decoding delay, which we solve using graph theory and a model of the decoder hardware architecture. Our framework assumes a decoder implementation in general purpose multi-core processors with multi-threading capabilities. For this hardware model, we show that frame processing times depend on the computational load of the decoder and we provide an iterative algorithm to compute jointly frame processing times and decoding delay. Finally, we show that decoding delay analysis can be applied to design decoders with the objective of minimizing the communication latency of the MVC system.
机译:我们提出了一个用于分析多视图视频编码(MVC)中的解码延迟的框架。我们表明,在实时应用中,解码延迟的准确估计对于实现最小的通信延迟至关重要。与单视图编解码器不同,多视图预测结构的复杂性和对多个视图的并行解码需要对此解码延迟进行系统分析,这是我们使用图论和解码器硬件架构模型来解决的。我们的框架假设在具有多线程功能的通用多核处理器中实现解码器。对于此硬件模型,我们表明帧处理时间取决于解码器的计算负载,并且我们提供了一种迭代算法来共同计算帧处理时间和解码延迟。最后,我们表明,解码延迟分析可以应用于设计解码器,以最小化MVC系统的通信等待时间。

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