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Intra/Inter-frame Joint WPP Coding Algorithm on Multicore Platform

机译:多核平台上的帧内/帧间联合联合WPP编码算法

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Although wavefront parallel processing (WPP) proposed in the HEVC standard and various inter frame WPP algorithms can achieved comparatively high parallelism, their scalability for its parallelism is still very limited due to various dependencies introduced in spatial and temporal prediction in HEVC. In this paper, through pixel correlation analysis, establishment of CTU node model, multi-core resource allocation strategy, we proposed an intra/inter-frame joint WPP coding algorithm for multi-core platform which can significantly improve the parallelism, while achieved good results in bit rate, PSNR, and acceleration ratio. Experiments on standard HD test sequence show that the proposed algorithm can lead to up to 2x, 1.3x speed up compared with the original WPP and IWF parallelism.
机译:尽管HEVC标准和各种帧间WPP算法中提出的波前并行处理(WPP)可以相对高,但是由于HEVC中的空间和时间预测中引入的各种依赖性,它们并行性的可扩展性仍然非常有限。 本文通过像素相关分析,建立CTU节点模型,多核资源分配策略,我们提出了一种用于多核平台的帧内/间联合联合WPP编码算法,其可以显着提高并行性,同时取得了良好的结果 以比特率,PSNR和加速度。 标准高清试验序列的实验表明,与原始WPP和IWFParallation相比,所提出的算法可以导致高达2倍,1.3倍的加速。

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