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Methods and Tools for Wavelet-Based Scalable Multiview Video Coding

机译:基于小波的可扩展多视点视频编码方法和工具

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摘要

A wavelet-based multiview video coding scheme is presented in this paper. It uses a 4-D wavelet transform, which is composed of a 1-D temporal wavelet transform, namely motion compensated temporal filtering, a 1-D view-directional wavelet transform, namely disparity compensated view filtering and a 2-D spatial wavelet transform. Since the presented framework can make use of the inherent scalability properties of the wavelet transforms involved, it allows full scalability of the coded bitstream in the temporal, view, spatial, and quality dimensions. Coding performance close to the H.264/advanced video coding based standard multiview video codec is shown. Enhancements of the view transform, in order to better account for brightness and color variations across views are introduced. Additionally, the use of a signal adaptive anisotropic wavelet packet (WP) transform as a generalization of WP transforms for the spatial decomposition is proposed. Both enhancements lead to a decrease of bit rate of up to 11% compared with the baseline version of the codec.
机译:提出了一种基于小波的多视点视频编码方案。它使用4-D小波变换,该变换由一维时间小波变换(即运动补偿的时间滤波),一维视图方向小波变换(即视差补偿的视图滤波和二维空间小波变换)组成。由于提出的框架可以利用所涉及的小波变换的固有可伸缩性属性,因此它可以在时间,视图,空间和质量维度上实现编码位流的完全可伸缩性。显示了接近基于H.264 /高级视频编码的标准多视图视频编解码器的编码性能。为了更好地说明视图之间的亮度和颜色变化,引入了视图变换的增强功能。另外,提出了使用信号自适应各向异性小波包(WP)变换作为用于空间分解的WP变换的概括。与编解码器的基准版本相比,这两种增强功能均导致比特率降低多达11%。

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