Selective Dynamic Compression

Shmuel T. Klein, Elina Opalinsky, Dana Shapira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Dynamic compression methods continuously update the model of the underlying text file to be compressed according to the already processed part of the file, assuming that such a model accurately predicts the distribution in the remaining part. Since this premise is not necessarily true, we suggest to update the model only selectively. We give empirical evidence that this hardly affects the compression efficiency, while it obviously may save processing time and allow the use of the compression scheme for cryptographic applications.

Original languageEnglish
Title of host publicationProceedings - DCC 2019
Subtitle of host publication2019 Data Compression Conference
EditorsMichael W. Marcellin, Joan Serra-Sagrista, Ali Bilgin, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic)9781728106571
StatePublished - 10 May 2019
Event2019 Data Compression Conference, DCC 2019 - Snowbird, United States
Duration: 26 Mar 201929 Mar 2019

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314
ISSN (Electronic)2375-0359


Conference2019 Data Compression Conference, DCC 2019
Country/TerritoryUnited States


  • Adaptive compression
  • Model


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