LZ78 Substring Compression in Compressed Space

Fuente: arXiv
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Main Authors: Shibata, Hiroki, Köppl, Dominik
Format: Preprint
Published: 2025
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author Shibata, Hiroki
Köppl, Dominik
author_facet Shibata, Hiroki
Köppl, Dominik
contents The Lempel--Ziv 78 (LZ78) factorization is a well-studied technique for data compression. It and its derivatives are used in compression formats such as "compress" or "gif". Although most research focuses on the factorization of plain data, not much research has been conducted on indexing the data for fast LZ78 factorization. Here, we study the LZ78 factorization and its derivatives in the substring compression model, where we are allowed to index the data and return the factorization of a substring specified at query time. In that model, we propose an algorithm that works in compressed space, computing the factorization with a logarithmic slowdown compared to the optimal time complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2512_17217
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LZ78 Substring Compression in Compressed Space
Shibata, Hiroki
Köppl, Dominik
Data Structures and Algorithms
The Lempel--Ziv 78 (LZ78) factorization is a well-studied technique for data compression. It and its derivatives are used in compression formats such as "compress" or "gif". Although most research focuses on the factorization of plain data, not much research has been conducted on indexing the data for fast LZ78 factorization. Here, we study the LZ78 factorization and its derivatives in the substring compression model, where we are allowed to index the data and return the factorization of a substring specified at query time. In that model, we propose an algorithm that works in compressed space, computing the factorization with a logarithmic slowdown compared to the optimal time complexity.
title LZ78 Substring Compression in Compressed Space
topic Data Structures and Algorithms
url https://arxiv.org/abs/2512.17217