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Efficient entropy coding scheme for H.264/AVC lossless video coding

机译:H.264 / AVC无损视频编码的有效熵编码方案

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摘要

Context-based adaptive variable length coding (CAVLC) and context-based adaptive binary arithmetic coding (CABAC) are entropy coding methods employed in the H.264/AVC standard. Since these entropy coders are originally designed for encoding residual data; which are zigzag scanned and quantized transform coefficients, they cannot provide adequate coding performance for lossless video coding where residual data are not quantized transform coefficients, but the differential pixel values between the original and predicted pixel values. Therefore, considering the statistical characteristics of residual data in lossless video coding, we newly design each entropy coding method based on the conventional entropy coders in H.264/AVC. From the experimental result, we have verified that the proposed method provides not only positive bit-saving of 8% but also reduced computational complexity compared to the current H.264/AVC lossless coding mode.
机译:基于上下文的自适应可变长度编码(CAVLC)和基​​于上下文的自适应二进制算术编码(CABAC)是H.264 / AVC标准中采用的熵编码方法。由于这些熵编码器最初是为编码残差数据而设计的;它们是锯齿形扫描和量化的变换系数,它们不能为无损视频编码提供足够的编码性能,在这些无损视频编码中,残留数据不是量化的变换系数,而是原始像素值和预测像素值之间的差分像素值。因此,考虑到无损视频编码中残差数据的统计特性,我们基于H.264 / AVC中的常规熵编码器,重新设计了每种熵编码方法。从实验结果可以看出,与当前的H.264 / AVC无损编码模式相比,该方法不仅可以节省8%的比特,而且可以降低计算复杂度。

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