利用分组交错、随机化和冗余提高视频质量

S. K. Chin, R. Braun
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引用次数: 10

摘要

仔细检查从MBone获取的数据包轨迹,可以发现大量连续的多个数据包丢失,尽管丢失主要是孤立的。本文提出了一种通过将突发损失转化为单个孤立损失来减少突发损失数量的方法。在该方法中,假设有有效的分层编码器,第一步是将关键视频信息从非关键视频信号中分离出来。其次,利用UDP的无序传输特性,将数据包进行交错和随机化处理,以分散关键视频信息的丢失。最后,为了减少随机丢失的数量,将重要视频数据的冗余数据包包含在交错/随机数据包序列中。为了验证该方法的有效性,对MBone采集的数据包轨迹进行了实验。结果表明,单独的交错/随机化可以显著减少连续的数据包突发损失。此外,在包含必要的冗余视频数据后,结果甚至更好,这大大减少了不连接损失的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving video quality using packet interleaving, randomisation and redundancy
Careful examination of packet traces taken from the MBone reveals a significant number of multiple successive packet losses, even though losses are predominantly isolated. This paper presents a method for reducing the number of burst losses by transforming them into single isolated losses. In this method, the first step is to separate critical video information from noncritical video signals, assuming the availability of an efficient layered coder. Secondly, by, exploiting the unordered delivery, feature of UDP, packets are interleaved and randomized so as to spread out the loss of critical video information. Finally, in order to reduce the number of random losses, redundant packets of essential video data are included in the interleaved/randomized packet sequence. To prove the effectiveness of this method, experiments were conducted on packet traces collected from the MBone. Results indicate that interleaving/randomization alone, significantly reduces consecutive packet burst losses. Furthermore, results are even better with the inclusion of essential redundant video data, which dramatically reduces the number of disjoint losses.
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