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Error resilient GOP structures on video streaming

机译:视频流上的抗错GOP结构

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摘要

In this paper, we describe novel coding dependencies among video frames supporting efficient error resilience in a video streaming system. Our approach is based upon reorganizing the regular linear GOP encoding structure to prevent the error propagation phenomenon and recover lost frames by interpolation. For errors taking place in a single frame, we guarantee that errors will not propagate to the neighboring frames. Therefore, both the past and future temporal information can be used to reconstruct the damaged frame. Furthermore, the proposed coding structures can also recover successive lost frames. In low power and low bandwidth circumstances such as some mobile devices, the proposed structures can also dynamically adjust the video quality level to adapt to a fluctuant network environment.
机译:在本文中,我们描述了在视频流系统中支持有效的错误恢复能力的视频帧之间新颖的编码依赖性。我们的方法基于重组常规线性GOP编码结构,以防止错误传播现象并通过插值恢复丢失的帧。对于在单个帧中发生的错误,我们保证错误不会传播到相邻帧。因此,过去和将来的时间信息都可以用于重建损坏的帧。此外,提出的编码结构还可以恢复连续的丢失帧。在诸如某些移动设备之类的低功率和低带宽情况下,所提出的结构还可以动态地调整视频质量等级以适应变化的网络环境。

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