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Zerotree pattern coding of motion picture residues for error-resilient transmission of video sequences

机译:运动图像残差的零树模式编码,用于视频序列的防错传输

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This paper describes a compression scheme for difference-image residues in video coding. Structured spatial patterns are used to map residue pixel values into a quadtree structure, which is then coded in significance order with the SPIHT algorithm. Thus the wavelet coefficient values of standard zerotree coding are replaced by untransformed (but carefully positioned) residue pixel values. The new zerotree pattern coding method compresses as well as zerotree wavelet coding and much better than DCT coding (as in MPEG) over error-free channels. Over noisy channels, zerotree pattern coding provides built-in error resilience, allowing transmission of residue data without error control overhead. A simple postprocessing technique provides additional error concealment.
机译:本文介绍了一种视频编码中差分图像残留的压缩方案。结构化的空间图案用于将残差像素值映射到四叉树结构,然后使用SPIHT算法按有效顺序对其进行编码。因此,标准零叉树编码的小波系数值被未变换(但经过仔细定位)的残差像素值代替。新的零树模式编码方法与零树小波编码一样,也进行压缩,并且比无差错信道上的DCT编码(如MPEG)要好得多。在嘈杂的信道上,零树模式编码提供了内置的错误恢复能力,从而允许传输残留数据而没有错误控制开销。一种简单的后处理技术提供了额外的错误隐藏。

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