面向未来视频编码的基于QTBT结构的有效间变换方法

Liqiang Wang, Benben Niu, Yun He
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引用次数: 0

摘要

变换是混合视频编码框架的关键模块,几十年来一直选择离散余弦变换(DCT)。近年来,为了提高变换效率,提出了奇异值分解(SVD)和增强多重变换(EMT)。然而,SVD和EMT的视角不同。奇异值分解利用预测块和残差块之间的相似性来提高变换效率。EMT采用了一些新的正弦变换核,以适应更靠近预测单元边界的较大预测误差。在本文中,所提出的方法主要有两个关键贡献。首先,将SVD和EMT巧妙地结合起来。其次,在原有算法中引入了非平方奇异值分解。通过大量的实验,与关闭部分编码工具的JEM5.0.1相比,Y、U和V的平均钻速分别节省了1.07%、1.06%和0.65%,最高可达5.87%、4.28%和4.47%。
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Effective Inter Transform Method Based on QTBT Structure for Future Video Coding
Transform, a crucial module for hybrid video coding framework, has been selecting Discrete Cosine Transform (DCT) for several decades. Recently, Singular Value Decomposition (SVD) and Enhanced Multiple Transform (EMT) are proposed to improve transform efficiency. However, the perspectives of SVD and EMT are different. SVD enhances transform efficiency by utilizing the similarity of prediction block and inter residual block. EMT adopts some new sinusoidal transform cores to accommodate the larger prediction errors closer to the boundary of prediction unit. In this paper, the proposed method mainly has two key contributions. First, SVD and EMT are combined skillfully. Second, non-square SVD is newly introduced to the original algorithm. By extensive experiments, averages 1.07%, 1.06% and 0.65% BD-rate saving for Y, U and V are achieved compared to JEM5.0.1 with some coding tools off, up to 5.87%, 4.28% and 4.47%.
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