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A multi-block data compression method based on arithmetic coding for a library database

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1 Author(s)
Ghim Hwee Ong ; Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore

Statistical analysis of the distributional and correlational properties of the characters in a large library data file with formatted records leads to the employment of a number of cumulative probability distributions to encode characters in various fields of each record. The performance of the proposed technique is compared with those of two-pass and adaptive character-based arithmetic coding methods. Experimental results show that the proposed technique yields a 13.6 to 13.9% increase in compression for a file in the Sydney Micro Library System

Published in:

Singapore ICCS/ISITA '92. 'Communications on the Move'

Date of Conference:

16-20 Nov 1992