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Unequal Forced-Intra-Refresh for robust video streaming

机译:不平等的强制内部刷新,可提供强大的视频流

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摘要

For video streaming over lossy channels, intra refresh can mitigate the error-propagation effect caused by packet losses. Besides some intra-mode macroblocks (MBs) generated by the "Lagrangian rate-distortion" or "Sum of absolute difference" mode decision, the encoder or transcoder possibly needs to increase some "forced" intra-mode MBs for robust video streaming. Based on the error-propagation analysis in a group of pictures (GOP), we propose an unequal Forced-Intra-Refresh (FIR) scheme to improve packet loss resilience of video streaming. According to a GOP-level error-propagation model, the proposed unequal FIR scheme can optimally increase the unequal number of forced intra-mode MBs for different frames in a GOP. Simulation results showed that the proposed scheme can effectively enhance the robustness of video streaming under different channel conditions, and achieve about 0.1~0.9 dB gains over the average FIR scheme in H.264/AVC tools.
机译:对于有损通道上的视频流,帧内刷新可以减轻由数据包丢失引起的错误传播效应。除了通过“拉格朗日速率失真”或“绝对差之和”模式决定生成的某些模式内宏块(MB)外,编码器或代码转换器可能还需要增加一些“强制”模式内MB,以实现稳健的视频流。基于一组图片中的错误传播分析(GOP),我们提出了一种不平等的强制刷新内(FIR)方案,以提高视频流的丢包弹性。根据GOP级别的错误传播模型,提出的不相等FIR方案可以针对GOP中的不同帧最佳地增加不等数量的强制帧内模式MB。仿真结果表明,与H.264 / AVC工具中的平均FIR方案相比,该方案可以有效地增强不同信道条件下视频流的鲁棒性,并获得约0.1〜0.9 dB的增益。

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