Abstract
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 language | English |
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Title of host publication | Proceedings - DCC 2019 |
Subtitle of host publication | 2019 Data Compression Conference |
Editors | Michael W. Marcellin, Joan Serra-Sagrista, Ali Bilgin, James A. Storer |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 583 |
Number of pages | 1 |
ISBN (Electronic) | 9781728106571 |
DOIs | |
State | Published - 10 May 2019 |
Event | 2019 Data Compression Conference, DCC 2019 - Snowbird, United States Duration: 26 Mar 2019 → 29 Mar 2019 |
Publication series
Name | Data Compression Conference Proceedings |
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Volume | 2019-March |
ISSN (Print) | 1068-0314 |
Conference
Conference | 2019 Data Compression Conference, DCC 2019 |
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Country/Territory | United States |
City | Snowbird |
Period | 26/03/19 → 29/03/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Adaptive compression
- Model