Low-Complexity Compression of Short Messages

D
DCC
2006
Data Compression Conference (DCC'06)
Abstract - Low-Complexity Compression of Short Messages

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Stephan Rein Articles by Clemens Guhmann, Articles by Frank H.P. Fitzek

Data Compression Conference (DCC'06)

Snowbird, Utah

March 28-March 30

ISBN: 0-7695-2545-8

	ASCII Text	x
	Stephan Rein, Clemens Guhmann,, Frank H.P. Fitzek, "Low-Complexity Compression of Short Messages," Data Compression Conference, pp. 123-132, Data Compression Conference (DCC'06), 2006.

	BibTex	x
	@article{ 10.1109/DCC.2006.45, author = {Stephan Rein and Clemens Guhmann, and Frank H.P. Fitzek}, title = {Low-Complexity Compression of Short Messages}, journal ={Data Compression Conference}, volume = {0}, year = {2006}, issn = {1068-0314}, pages = {123-132}, doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2006.45}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Compression Conference TI - Low-Complexity Compression of Short Messages SN - 1068-0314 SP123 EP132 A1 - Stephan Rein, A1 - Clemens Guhmann,, A1 - Frank H.P. Fitzek, PY - 2006 KW - null VL - 0 JA - Data Compression Conference ER -

Stephan Rein, Technical University of Berlin

Clemens Guhmann,, Technical University of Berlin

Frank H.P. Fitzek, Aalborg University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2006.45

We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of single symbols. Our particular contribution is a simple yet effective approach for storing highly complex statistics in a succinct yet effective data model that can easily be trained by text data. The proposed model already gives good compression rates with a RAM memory size of 128 kByte, thus making lossless data compression with statistical context modeling readily applicable to small devices like wireless sensors or mobile phones.

Citation:

Stephan Rein, Clemens Guhmann,, Frank H.P. Fitzek, "Low-Complexity Compression of Short Messages," dcc, pp.123-132, Data Compression Conference (DCC'06), 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.