用简单方法逼近复杂变换，大幅提升视频编码效率。
Low-Complexity Transform Adjustments For Video Coding
- 基于DCT-2计算，通过正交调整逼近关键基向量。
- 32点以上变换计算量大幅降低，编码效率几乎不变。
- 适合需要低延迟、高能效的视频编码系统使用。
近期采用多种可分离变换的视频编码器通过非对称三角变换（DCT和DST）显著提升编码增益，因其能捕捉残差块信号的多样化统计特性。然而，这些变换在32点及以上规模时引入过高的计算与内存开销，因其实现效率远低于DCT-2。本文提出一种新型低复杂度近似方法：仅使用DCT-2运算，并通过正交调整来逼近目标变换的关键基向量。在Versatile Video Coding（VVC）参考软件上的实验表明，该方法显著降低计算复杂度，同时保持几乎相同的编码效率。
原文摘要 · Abstract (English)
Recent video codecs with multiple separable transforms can achieve significant coding gains using asymmetric trigonometric transforms (DCTs and DSTs), because they can exploit diverse statistics of residual block signals. However, they add excessive computational and memory complexity on large transforms (32-point and larger), since their practical software and hardware implementations are not as efficient as of the DCT-2. This article introduces a novel technique to design low-complexity approximations of trigonometric transforms. The proposed method uses DCT-2 computations, and applies orthogonal adjustments to approximate the most important basis vectors of the desired transform. Experimental results on the Versatile Video Coding (VVC) reference software show that the proposed approach significantly reduces the computational complexity, while providing practically identical coding efficiency.
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