Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms
Date
2014-12
Authors
Mukka, Hari Santhosh Manikanta Kumar
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Abstract
With the exponential increase in the amount of data humans are generating, there is a progressive need for developing effective high-speed data compression techniques. However, developing an algorithm that just compresses data well is not sufficient. A good compression technique should also minimize the compression and decompression time. This project focuses on automatically synthesizing compression and decompression algorithms for a given data type. In particular, it employs search techniques to mix and match different transformation, prediction, and encoding components to determine the most efficient configurations.
Description
Keywords
computer science, algorithms, programming, genetic, exhaustive
Citation
Mukka, H. S. M. K. (2014). Customized data compression: automatically synthesizing effective data compression and decompression algorithms (Unpublished thesis). Texas State University, San Marcos, Texas.