Wavefront Parallel Processing for AV1 Encoder

Yikai Zhao, Jiangtao Wen
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引用次数: 13

Abstract

The emerging AV1 coding standard brings even higher computational complexity than current coding standards, but does not support traditional Wavefront Parallel Processing (WPP) approach due to the lacking of syntax support. In this paper we introduced a novel framework to implement WPP for AV1 encoder that is compatible with current decoder without additional bitstream syntax support, where mode selection is processed in wavefront parallel before entropy encoding and entropy contexts for rate-distortion optimization are predicted. Based on this framework, context prediction algorithms that use same data dependency model as previous works in H.264 and HEVC are implemented. Furthermore, we proposed an optimal context prediction algorithm specifically for AV1. Experimental results showed that our framework with proposed optimal algorithm yields good parallelism and scalability (over 10x speed-up with 16 threads for 4k sequences) with little coding performance loss (less than 0.2% bitrate increasing).
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AV1编码器的波前并行处理
新兴的AV1编码标准带来了比现有编码标准更高的计算复杂度,但由于缺乏语法支持而不支持传统的波前并行处理(WPP)方法。在本文中,我们引入了一种新的框架来实现AV1编码器的WPP,该框架与当前的解码器兼容,无需额外的比特流语法支持,其中模式选择在波前并行处理,然后预测熵编码和熵上下文用于率失真优化。基于该框架,实现了与H.264和HEVC中使用相同数据依赖模型的上下文预测算法。此外,我们提出了一种针对AV1的最佳上下文预测算法。实验结果表明,我们的框架具有良好的并行性和可扩展性(4k序列16线程加速超过10倍),编码性能损失很小(比特率增加不到0.2%)。
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