Data compression research

  • Text compression techniques

    A statistical data compressor processes an input text letter by letter and performs compression in two stages — modeling and coding.
    During modeling a model estimates a probability distribution on the next letter based on the past input..

  • What is compression research?

    Compression is done by a program that uses functions or an algorithm to effectively discover how to reduce the size of the data.
    For example, an algorithm might represent a string of bits with a smaller string of bits by using a 'reference dictionary' for conversion between them..

Data compression is classic research area in computer science focusing on the efficient storage and communication of data. Data compression is ubiquitous throughout science and engineering and essentially any data of non-trivial size is stored or communicated in compressed form on any modern computer system.
We would like to propose a novel uniform approach to various data media such as text, image, video and audio based on an approximate pattern matching. This 

Demo

Compress your own image using Bit-Swap.
Clone the GitHub repository onhttps://github.com/fhkingma/bitswap andrun the script demo_compress.py and demo_decompress.py.
The scriptdemo_compress.py will compress using Bit-Swap and compare it against GNUGzip, bzip2, LZMA, PNG and WebP compression.
The script demo_decompress.pywill decompress a Bit-Swap co.

Is the source statistical knowledge available in a data compression scheme?

In most data compression schemes it is assumed that the source statistical knowledge is available

In practical cases, however, either a complete probabilistic description of the source is not available or the source statistics undergoes temporal and/or spatial variations

There are two ways of combating this problem

What is a compression algorithm?

Compression in all its forms exploits structure, or redundancy, in the data to achieve a compact representation

The design of a compression algorithm involves understanding the types of redundancy present in the data and then developing strategies for exploiting these redundancies to obtain a compact representation of the data

What is data compression?

In order to overcome this challenge, an alternative concept called data compression (DC) has been presented in the literature to compress the size of the data being stored or transmitted

It transforms the original data to its compact form by the recognition and utilization of patterns exists in the data


Categories

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