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

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