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Rotated Orthogonal Transform (ROT) for Motion-Compensation Residual Coding

机译:旋转正交变换(ROT)用于运动补偿残差编码

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摘要

Discrete cosine transform (DCT) is the orthogonal transform that is most commonly used in image and video compression. The motion-compensation residual (MC-residual) is also compressed with the DCT in most video codecs. However, the MC-residual has different characteristics from a nature image. In this paper, we develop a new orthogonal transform–rotated orthogonal transform (ROT) that can perform better on the MC-residual than the DCT for coding purposes. We derive the proposed ROT based on orthogonal-constrained L1-Norm minimization problem for its sparse property. Using the DCT matrix as the starting point, a better orthogonal transform matrix is derived. In addition, by exploring inter-frame dependency and local motion activity, transmission of substantial side information is avoided. The experiment results confirm that, with small computation overhead, the ROT is adaptive to change of local spatial characteristic of MC-residual frame and provides higher compression efficiency for the MC-residual than DCT, especially for high- and complex-motion videos.
机译:离散余弦变换(DCT)是在图像和视频压缩中最常用的正交变换。大多数视频编解码器中的DCT还压缩了运动补偿残差(MC残差)。然而,MC残差具有与自然图像不同的特征。在本文中,我们出于编码目的,开发了一种新的正交变换-旋转正交变换(ROT),其在MC残差上的性能优于DCT。由于稀疏性,我们基于正交约束的L1-Norm最小化问题推导了提出的ROT。使用DCT矩阵作为起点,可以得出更好的正交变换矩阵。另外,通过探索帧间依赖性和局部运动活动,避免了实质性辅助信息的传输。实验结果证明,ROT以较小的计算开销适应MC剩余帧的局部空间特征的变化,并且比DCT尤其对于高运动视频和复杂运动的视频,MC剩余的压缩效率更高。

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