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Fast Adaptive Multiple Transform for Versatile Video Coding

机译:用于多种视频编码的快速自适应多变换

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The Joint Video Exploration Team (JVET) recently launched the standardization of next-generation video coding named Versatile Video Coding (VVC) in which the Adaptive Multiple Transforms (AMT) is adopted as the primary residual coding transform solution. AMT introduces multiple transforms selected from the DST/DCT families and achieves noticeable coding gains. However, the set of transforms are calculated using direct matrix multiplication which induces higher run-time complexity and limits the application for practical video codec. In this paper, a fast DST-VII/DCT-VIII algorithm based on partial butterfly with dual implementation support is proposed, which aims at achieving reduced operation counts and run-time cost meanwhile yield almost the same coding performance. The proposed method has been implemented on top of the VTM-1.1 and experiments have been conducted using Common Test Conditions (CTC) to validate the efficacy. The experimental results show that the proposed methods, in the state-of-the-art codec, can provide an average of 7%, 5% and 8% overall decoding time savings under All Intra (AI), Random Access (RA) and Low Delay B (LDB) configuration, respectively yet still maintains coding performance.
机译:联合视频探索小组(JVET)最近启动了称为通用视频编码(VVC)的下一代视频编码的标准化,其中采用了自适应多变换(AMT)作为主要的残余编码转换解决方案。 AMT引入了从DST / DCT系列中选择的多种变换,并获得了可观的编码增益。但是,使用直接矩阵乘法计算转换集,这会导致较高的运行时复杂度,并限制了实际视频编解码器的应用。本文提出了一种基于双蝶形实现并支持双重实现的快速DST-VII / DCT-VIII算法,旨在减少运算量和运行时间,同时获得几乎相同的编码性能。所提出的方法已在VTM-1.1之上实施,并已使用通用测试条件(CTC)进行了实验以验证其有效性。实验结果表明,在全帧内(AI),随机存取(RA)和随机存取(RA)和全帧内(AI)和随机存取(RA)的情况下,在最新的编解码器中,所提出的方法可以平均平均节省7%,5%和8%的总体解码时间低延迟B(LDB)配置分别仍然保持了编码性能。

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