Adaptive Intra Refresh For Low-Latency Video Coding

Xi Huang, Luheng Jia, Han Wang, Ke-bin Jia
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Abstract

Low-latency video applications are widely used in video communication, video surveillance and other real time scenarios, of which the low-latency video coding technique is the key component to reduce the coding complexity and transmission delay. The fixed-period intra refresh in video coding are capable of reducing inter-frame bit rate fluctuation and recover delivering error. In this work, we propose a novel fixed-period intra refresh method to further improve the coding efficiency and error resilience of encoded bitstream by rearranging the refreshing order according to the blocks importance-ranking joint considering reference importance using motion statistics and coding complexity leveraging rate-distortion cost of the encoding frame. Experimental results demonstrate that our proposed method obtains smoother bitrate and higher coding efficiency of up to 4.6% BD-rate reduction compared with previous method.
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低延迟视频编码的自适应帧内刷新
低延迟视频应用广泛应用于视频通信、视频监控等实时场景,其中低延迟视频编码技术是降低编码复杂度和传输延迟的关键组成部分。视频编码中的固定周期内刷新能够减少帧间比特率波动,恢复传输误差。在这项工作中,我们提出了一种新的固定周期内刷新方法,通过利用运动统计和编码复杂性,利用编码帧的率失真代价,根据块重要性排序联合考虑参考重要性,重新安排刷新顺序,进一步提高编码效率和编码码流的容错性。实验结果表明,该方法获得了更平滑的比特率和更高的编码效率,与之前的方法相比,bd率降低了4.6%。
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