Low-Complexity Compression of Short Messages

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

Data Compression Conference (DCC'06)

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	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

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

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