Work

Compression with the tudocomp Framework

Year: 2017

Type: preprint

Abstract: We present a framework facilitating the implementation and comparison of text compression algorithms. We evaluate its features by a case study on two novel compression algorithms based on the Lempel-Ziv compression schemes that perform well on highly repetitive texts.

Source: arXiv (Cornell University)

DOI: 10.4230/lipics.sea.2017.13

Authors: Dinklage, Patrick, Fischer, Johannes, Köppl, Dominik, Löbel, Marvin, Sadakane, Kunihiko

Institutions: TU Dortmund University, The University of Tokyo

Language: English

Topic: Algorithms and Data Compression

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Awards: Information Implosion Foundational Technology, Theory and Practice of Succinct Data Structures

OpenAlex ID: W2593896499

Cites:

Cited by: 16

Related to: 20