Selective Weighted Adaptive Coding

Yoav Gross, Shmuel T. Klein, Elina Opalinsky, Dana Shapira

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

Abstract

Unlike the uniform treatment of symbols in different locations of an input file, a new approach is taken in the weighted dynamic compression method suggested in [1], which assigns higher priority to closer to be encoded symbols by means of an increasing weight function. The weighted method is especially suited for the encoding of files with locally skewed distributions. Empirical results have shown that weighted techniques can improve beyond the lower bound given by the entropy for static encoding.

Original languageEnglish
Title of host publicationProceedings - DCC 2022
Subtitle of host publication2022 Data Compression Conference
EditorsAli Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages454
Number of pages1
ISBN (Electronic)9781665478939
DOIs
StatePublished - 2022
Event2022 Data Compression Conference, DCC 2022 - Snowbird, United States
Duration: 22 Mar 202225 Mar 2022

Publication series

NameData Compression Conference Proceedings
Volume2022-March
ISSN (Print)1068-0314

Conference

Conference2022 Data Compression Conference, DCC 2022
Country/TerritoryUnited States
CitySnowbird
Period22/03/2225/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Adaptive coding
  • Lossless compression
  • Weighted Compression

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