Pushdown Compression

Authors Pilar Albert, Elvira Mayordomo, Philip Moser, Sylvain Perifel



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Author Details

Pilar Albert
Elvira Mayordomo
Philip Moser
Sylvain Perifel

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Pilar Albert, Elvira Mayordomo, Philip Moser, and Sylvain Perifel. Pushdown Compression. In 25th International Symposium on Theoretical Aspects of Computer Science. Leibniz International Proceedings in Informatics (LIPIcs), Volume 1, pp. 39-48, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/LIPIcs.STACS.2008.1332

Abstract

The pressing need for efficient compression schemes for XML
   documents has recently been focused on stack computation (Hariharan
   and Shankar 2006, League and Eng 2007), and in particular calls for
   a formulation of information-lossless stack or pushdown compressors
   that allows a formal analysis of their performance and a more
   ambitious use of the stack in XML compression, where so far it is
   mainly connected to parsing mechanisms.  In this paper we introduce
   the model of pushdown compressor, based on pushdown transducers
   that compute a single injective function while keeping the widest
   generality regarding stack computation.

  The celebrated Lempel-Ziv algorithm LZ78 was introduced as a general
  purpose compression algorithm that outperforms finite-state
  compressors on all sequences.  We compare the performance of the
  Lempel-Ziv algorithm with that of the pushdown compressors, or
  compression algorithms that can be implemented with a pushdown
  transducer.  This comparison is made without any a priori assumption
  on the data's source and considering the asymptotic compression
  ratio for infinite sequences.  We prove that Lempel-Ziv is
  incomparable with pushdown compressors.

Subject Classification

Keywords
  • Finite-state compression
  • Lempel-Ziv algorithm
  • pumping-lemma
  • pushdown compression
  • XML document

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