The encoding of HD videos faces two challenges: requirements for a strong processing power and a large storage space. One time-efficient solution addressing these challenges is to use a cloud platform and to use a scalable video coding technique to generate multiple video streams with varying bit-rates. Packet-loss is very common during the transmission of these video streams over the Internet and becomes another challenge. One solution to address this challenge is to retransmit lost video packets, but this will create end-to-end delay. Therefore, it would be good if the problem of packet-loss can be dealt with at the user's side. In this paper, we present a novel system that encodes and stores the videos using the Amazon cloud computing platform, and recover lost video frames on user side using a new Error Concealment (EC) technique. To efficiently utilize the computation power of a user's mobile device, the EC is performed based on a multiple-thread and parallel process. The simulation results clearly show that, on average, our proposed EC technique outperforms the traditional Block Matching Algorithm (BMA) and the Frame Copy (FC) techniques.

中文翻译：

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基于云和可扩展的高清视频视频编码的错误隐藏

高清视频的编码面临两大挑战：要求强大的处理能力和大的存储空间。解决这些挑战的一种省时的解决方案是使用云平台并使用可扩展的视频编码技术来生成具有不同比特率的多个视频流。在通过互联网传输这些视频流的过程中，丢包非常普遍，成为另一个挑战。解决这一挑战的一种解决方案是重新传输丢失的视频数据包，但这会造成端到端延迟。因此，如果丢包问题能够在用户侧处理就更好了。在本文中，我们提出了一种新颖的系统，该系统使用亚马逊云计算平台对视频进行编码和存储，并使用新的错误隐藏 (EC) 技术在用户端恢复丢失的视频帧。为了有效地利用用户移动设备的计算能力，EC 是基于多线程和并行过程执行的。仿真结果清楚地表明，平均而言，我们提出的 EC 技术优于传统的块匹配算法 (BMA) 和帧复制 (FC) 技术。