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Evaluation of the Interleaved Source Coding (ISC) Under Packet Correlation

机译:数据包相关性下的交错源编码(ISC)评估

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Network impairments such as delay and packet losses have severe impact on the presentation quality of many predictive video sources. Prior researches have shown efforts to develop packet loss resilient coding methods to overcome such impairments for real-time streaming applications. Interleaved source coding (ISC) is one of the error resilient coding methods, which is based on an optimum interleaving of predictive video coded frames transmitted over a single erasure channel. ISC employs a Markov decision process (MDP) and a corresponding dynamic programming algorithm to identify the optimal interleaving pattern for a given channel model and a transmitting sequence. ISC has shown to significantly improve the overall quality of predictive video coded stream over a lossy channel without complex modifications to standard video coders. In this paper, ISC is evaluated over channels with memory. In particular, we analyze the impact of packet correlation of the popular Gilbert model on ISC-based packet video over a wide range of packet loss probabilities. Simulations have shown that ISC advances the traditional method as either the loss rate increases or the packet correlation decreases
机译:诸如延迟和数据包丢失之类的网络损害严重影响了许多预测视频源的显示质量。先前的研究已经显示出努力开发分组丢失弹性编码方法,以克服用于实时流应用的这种损害。交错源编码(ISC)是一种抗错编码方法,它基于在单个擦除信道上传输的预测视频编码帧的最佳交错。 ISC采用马尔可夫决策过程(MDP)和相应的动态编程算法来识别给定信道模型和发射序列的最佳交织模式。 ISC已经证明,无需对标准视频编码器进行复杂的修改,就可以显着提高有损信道上的预测视频编码流的整体质量。在本文中,ISC是通过具有存储器的通道进行评估的。特别是,我们分析了流行的吉尔伯特(Gilbert)模型的数据包相关性对各种丢包率情况下基于ISC的数据包视频的影响。仿真表明,随着丢失率的增加或数据包相关性的降低,ISC改进了传统方法。

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