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Adaptive packet recovery method based on recovery priority for high quality video streaming service infrastructure

机译:基于恢复优先级的高质量视频流服务基础设施的自适应报文恢复方法

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In this paper, we propose a video data recovery method that exploits multiple streams. The proposed method gives priority to each data of multiple streams in terms of recovery from packet loss, and it is designed for recovering important data with higher probability. The priority of each data is calculated based on both inherent importance in one stream and loss probabilities of multiple streams. Specifically, this method deals with the data of less received streams as the important data. Moreover, the proposed method decides appropriate number of parity packets. This is because the transmission of too many parity packets might affect the other traffic, while that of too few packets might recover insufficient amount of data. The proposed method can improve video quality of total multiple streams. Our simulation results show that the proposed method can recover more important data with higher probability. Furthermore, the proposed method can also achieve almost the same restoration ratio among streams of recovery targets.
机译:在本文中,我们提出了一种利用多个流的视频数据恢复方法。所提出的方法在从分组丢失的恢复方面给予多个流的每个数据优先级,并且该方法被设计用于以较高的概率恢复重要数据。每个数据的优先级是基于一个流中的固有重要性和多个流的丢失概率来计算的。具体地,该方法将接收较少的流的数据作为重要数据来处理。此外,所提出的方法确定适当数量的奇偶校验分组。这是因为太多奇偶校验数据包的传输可能会影响其他流量,而太多奇偶校验数据包的传输可能会恢复不足的数据量。所提出的方法可以提高全部多个流的视频质量。仿真结果表明,该方法能够以较高的概率恢复更多的重要数据。此外,所提出的方法还可以在恢复目标流之间实现几乎相同的恢复率。

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