HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances

Abstract

We propose a new representation of the offsets of the Lempel-Ziv (LZ) factorization based on the co-lexicographic order of the text's prefixes. The selected offsets tend to approach the k-th order empirical entropy. Our evaluations show that this choice is superior to the rightmost and bit-optimal LZ parsings on datasets with small high-order entropy.

Más información

Título según WOS: HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances
Título de la Revista: 2020 DATA COMPRESSION CONFERENCE (DCC 2020)
Editorial: IEEE COMPUTER SOC
Fecha de publicación: 2022
Página de inicio: 83
Página final: 92
DOI:

10.1109/DCC52660.2022.00016

Notas: ISI