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LZ78 Substring Compression in Compressed Space
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AI
DOI：10.1007/s00224-025-10245-8.png)
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Abstract
En 中文
The Lempel-Ziv 78 (LZ78) factorization is a well-studied technique for data compression. It and its derivates 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 derivates 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.
Keywords:
Lossless data compression
LZ78 factorization
Substring compression
CDAWG
C630 Computational Techniques
Simulation Modeling
Journal
T
IF:
0.4
Papers:
43
Citations:
0