@inproceedings{67026279d4cd43b5bdd3847ca340a1f7,
title = "Selective Dynamic Compression",
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.",
keywords = "Adaptive compression, Model",
author = "Klein, {Shmuel T.} and Elina Opalinsky and Dana Shapira",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Data Compression Conference, DCC 2019 ; Conference date: 26-03-2019 Through 29-03-2019",
year = "2019",
month = may,
day = "10",
doi = "https://doi.org/10.1109/dcc.2019.00095",
language = "الإنجليزيّة",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "583",
editor = "Marcellin, {Michael W.} and Joan Serra-Sagrista and Ali Bilgin and Storer, {James A.}",
booktitle = "Proceedings - DCC 2019",
address = "الولايات المتّحدة",
}