The next generation of video codecs incorporate multiple transforms as a part of their transform core. However, some of the new transform types introduced in state-of-the-art codecs are still lacking efficient optimization methods. This paper focuses on the optimization of Adaptive Multiple Transforms (AMTs) in the next generation of video decoders. Our solution consists in three main contributions aiming towards a real time software implementation of an AMTs inverse core transform. We first investigate AMTs usage and properties in a transform and quantization video coding context. In a second contribution we design a unified transform core decoding algorithm for AMTs relying on pruning strategies. Finally, in a third contribution we present a Single Input Multiple Data (SIMD) implementation using AVX2 extension set targeting x86 architecture. To the best of our knowledge this is the first software implementation of AMTs achieving real-time performance in a software video decoder.

下一代视频编解码器将多个变换作为其变换核心的一部分。然而，在最先进的编解码器中引入的一些新变换类型仍然缺乏有效的优化方法。本文重点介绍了下一代视频解码器中自适应多重变换 (AMT) 的优化。我们的解决方案包括三个主要贡献，旨在实现 AMT 逆核变换的实时软件实现。我们首先在变换和量化视频编码上下文中研究 AMT 的使用和属性。在第二个贡献中，我们为依赖修剪策略的 AMT 设计了统一的变换核心解码算法。最后，在第三个贡献中，我们使用针对 x86 架构的 AVX2 扩展集提出了单输入多数据 (SIMD) 实现。