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Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective. (arXiv:2201.01741v1 [stat.ML])
Jan. 6, 2022, 2:10 a.m. | Robert Bamler
cs.LG updates on arXiv.org arxiv.org
Entropy coding is the backbone data compression. Novel machine-learning based
compression methods often use a new entropy coder called Asymmetric Numeral
Systems (ANS) [Duda et al., 2015], which provides very close to optimal
bitrates and simplifies [Townsend et al., 2019] advanced compression techniques
such as bits-back coding. However, researchers with a background in machine
learning often struggle to understand how ANS works, which prevents them from
exploiting its full versatility. This paper is meant as an educational resource
to make …
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