Effective Variable-Length-to-Fixed-Length Coding via a Re-Pair Algorithm

S. Yoshida, T. Kida
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引用次数: 6

Abstract

Summary form only given. We address the problem of improving variable-length-to-fixed-length codes (VF codes). A VF code is an encoding scheme that uses a fixed-length code, and thus, one can easily access the compressed data. However, conventional VF codes usually have an inferior compression ratio to that of variable-length codes. Although a method proposed by T. Uemura et al. in 2010 achieves a good compression ratio comparable to that of gzip, it is very time consuming. In this study, we propose a new VF coding method that applies a fixed-length code to the set of rules extracted by the Re-Pair algorithm, proposed by N. J. Larsson and A. Moffat in 1999. The Re-Pair algorithm is a simple off-line grammar-based compression method that has good compression-ratio performance with moderate compression speed. Moreover, we present several experimental results to show that the proposed coding is superior to the existing VF coding.
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基于重对算法的变长到定长有效编码
只提供摘要形式。我们解决了改进变长到定长码(VF码)的问题。VF代码是一种使用固定长度代码的编码方案,因此可以很容易地访问压缩数据。然而,传统的VF码的压缩比通常低于变长码的压缩比。虽然T. Uemura等人在2010年提出的方法实现了与gzip相当的良好压缩比,但它非常耗时。在本研究中,我们提出了一种新的VF编码方法,该方法将固定长度的编码应用于N. J. Larsson和a . Moffat在1999年提出的Re-Pair算法提取的规则集。Re-Pair算法是一种简单的离线基于语法的压缩方法,压缩比性能好,压缩速度适中。此外,我们还给出了几个实验结果,表明所提出的编码优于现有的VF编码。
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