Simple linear-time off-line text compression by longest-first substitution

Eyosuke Nakamura, Hideo Bannai, Shunsuke Ineriaga, Masayuki Takeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We consider grammar based text compression with longest first substitution where non-overlapping occurrences of a longest repeating substring of the input text are replaced by a new non-terminal symbol. We present a new text compression algorithm by simplifying the algorithm presented in [4]. We give a new formulation of the correctness proof introducing the sparse lazy suffix tree data structure. We also present another type of longest first substitution strategy that allows better compression. We show results of preliminary experiments comparing grammar sizes of the two versions of the longest first strategy and the most frequent strategy.

Original languageEnglish
Title of host publicationProceedings - DCC 2007: 2007 Data Compression Conference
Pages123-132
Number of pages10
DOIs
Publication statusPublished - 2007
EventDCC 2007: 2007 Data Compression Conference - Snowbird, UT, United States
Duration: Mar 27 2007Mar 29 2007

Other

OtherDCC 2007: 2007 Data Compression Conference
CountryUnited States
CitySnowbird, UT
Period3/27/073/29/07

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Hardware and Architecture

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