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GPGPU IMPLEMENTATION OF VP9 IN-LOOP DEBLOCKING FILTER AND IMPROVEMENTS FOR AV1 CODEC

机译:GPGPU实现VP9循环去块滤波器和AV1编解码器的改进

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This paper describes the algorithm and processing flow of the in-loop deblocking filter in the VP9 coding standard, one of the most computationally intensive toolsets of the VP9 codec. Due to its inherent data dependency, it is a great challenge to efficiently implement the algorithm on massively parallel computing architectures, such as a General Purpose Graphical Processing Unit (GPGPU). In this paper, we describe the challenges involved in a GPGPU implementation of the VP9 Deblocking filter and introduce an innovative thread dispatching approach to address the parallelization challenges. This approach has been successfully implemented and productized in the VP9 decoder and encoder solutions on Intel GPUs. In order to further improve the parallelism of the deblocking algorithm itself, an improved in-loop deblocking algorithm and process flow is jointly proposed by Intel and Microsoft for the upcoming AV1 codec standard, developed by the Alliance for Open Media (AOM). A description of the algorithm and evaluation of the quality impact of this algorithm is presented with respect to the current state of the art AV1 reference codec.
机译:本文介绍了VP9编码标准中环路解块滤波器的算法和处理流程,VP9编解码器的最具计算密集型工具之一。由于其固有的数据依赖性,有效地在大规模并行计算架构上有效地实现算法,例如通用图形处理单元(GPGPU)是一项巨大的挑战。在本文中,我们描述了VP9去块滤波器GPGPU实施所涉及的挑战,并引入了一种创新的线程调度方法来解决并行化挑战。在Intel GPU上的VP9解码器和编码器解决方案中已成功实现和生产此方法。为了进一步改善去块算法的并行性,通过英特尔和微软联合提出了一种改进的环路解块算法和过程流程,用于即将到来的AV1编解码器标准,由开放介质(AOM)开发。关于ARV1参考编解码器的当前状态呈现了该算法对该算法的质量影响的算法和评估的描述。

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