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Sparse Approximation of Videos by Adaptive Linear Splines over Anisotropic Tetrahedralizations

机译:通过各向异性四凸起通过自适应线性样条稀疏近似视频

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We discuss theoretical aspects of sparse representations for videos by linear splines over anisotropic tetrahedralizations. In previous work, we have proposed a locally adaptive algorithm, adaptive thinning, for sparse approximation of images. Moreover, we have analyzed the asymptotic behaviour of N-term image approximations by linear splines over anisotropic Delaunay triangulations. In this paper, we generalize our previous results from image approximation to video approximation, i.e., from the approximation of bivariate to trivariate target functions.
机译:我们讨论了通过各向异性四偏振的线性样条讨论了视频稀疏表示的理论方面。在以前的工作中,我们提出了一种本地自适应算法,自适应变薄,用于图像的稀疏近似。此外,我们通过线性样条分析了各向异性Delaunay三角形的线性样条分析了N术语图像近似的渐近行为。在本文中,我们将先前的结果概括到图像近似到视频近似,即,从Bifariate的近似到跨越目标函数。

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