提出新型低复杂度视频变换方法，压缩效率更高且内存占用大幅降低。
Highly Efficient Non-Separable Transforms for Next Generation Video Coding
- 设计参数化变换框架HyGTs，避免复杂矩阵计算，便于并行实现。
- 在HEVC中应用后平均码率降低6%，性能接近最优变换矩阵。
- 相比传统KLT矩阵，内存使用减少6.8倍，适合实际部署场景。
过去几十年，信号自适应变换编码在视频压缩中的应用受限于基于矩阵方案的高计算复杂度。本文提出一种新型参数化方法，显著降低复杂度而不损失压缩性能。不同于传统寻找最优变换矩阵的做法，我们聚焦于定义新一类低复杂度可并行实现的变换——HyGTs的最优参数。所提HyGTs作为HEVC的扩展实现，实验结果表明其平均码率降低6%，同时内存使用仅为KLT矩阵的1/6.8，显著提升效率。
原文摘要 · Abstract (English)
For the last few decades, the application of signal-adaptive transform coding to video compression has been stymied by the large computational complexity of matrix-based solutions. In this paper, we propose a novel parametric approach to greatly reduce the complexity without degrading the compression performance. In our approach, instead of following the conventional technique of identifying full transform matrices that yield best compression efficiency, we look for the best transform parameters defining a new class of transforms, called HyGTs, which have low complexity implementations that are easy to parallelize. The proposed HyGTs are implemented as an extension of High Efficiency Video Coding (HEVC), and our comprehensive experimental results demonstrate that proposed HyGTs improve average coding gain by 6% bit rate reduction, while using 6.8 times less memory than KLT matrices.
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