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GOP-Level Transmission Distortion Modeling for Unequal Importance Judgement

机译:不平等重要性判断的GOP级传输失真建模

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In the case of transmitting stored video streaming over packet-switched networks, unavoidable frame losses may result in error propagation of reconstructed video and thus induce severe quality degradation. In order to minimize the transmission distortion and utilize the limited channel resources efficiently, unequal error protection is usually adopted to exploit the unequal importance of different frames in one group-of-pictures (GOP). In this paper, we develop an estimate model for GOP-level transmission distortion so that the transmitter is able to find the unequal importance of different frames in one GOP. The simulation results demonstrate that the proposed model is accurate and robust.
机译:在通过分组交换网络传输存储的视频流的情况下,不可避免的帧丢失可能会导致重建视频的错误传播,从而导致严重的质量下降。为了最小化传输失真并有效地利用有限的信道资源,通常采用不相等的差错保护来利用一组图像(GOP)中不同帧的不平等重要性。在本文中,我们为GOP级别的传输失真开发了一个估计模型,以便发送器能够在一个GOP中找到不同帧的不平等重要性。仿真结果表明,所提出的模型是准确和鲁棒的。

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