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ABOTM

Looking back today, it is a bit surprising that compression arrived as a field of study as early as the 1940s and 1950s – long before today’s information explosion. And, despite the fact that compression is applied more out of pragmatism than as a matter of principle, it has yielded significant savings in time, space and bandwidth.

Looking ahead however, the downside of such an approach becomes clear. The world’s networks are not built to handle the information explosion. Worse, with data compression technologies falling behind in the race against the information explosion, the only solution seems to be costly expansion of network capacities.

This gloomy prognosis has become a lot brighter with the advent of ABOTM (Advanced Binary Optimization), three years ago. And the signs that have emerged since indicate one thing clearly. The digital order that we know is poised on the threshold of a welcome revolution.

So, what exactly does ABOTM do? ABOTM transforms your digital DNA. In other words, ABOTM simplifies the algorithms used in source coding the raw data that are your building blocks.

ABOTM is a new way of transforming data – unlike JPEG, JPEG2000, JPEGLS, GIF, TIFF, PNG, MPEG1, MPEG2, MPEG4 or MP3. While traditional systems depend on complex transforms and the elimination of data to achieve compression, ABOTM does not. Driven by a unique, breakthrough process called Repetition and Correlation Coding (RCC), ABOTM exploits the repetition and correlation found in data. This results in a revolutionary data transformation and establishes a strong foundation for further modeling and source coding of data. The effects of this bottom-up transformation can be felt strongly at every level of your network.

The results of this strikingly simple and powerful process are amazing! ABOTM just transforms the way in which data is stored, transmitted, retrieved and applied – with highest compressibility and without loss of data and integrity.

Here are some of the benefits that ABOTM delivers:

• Adds intelligence to data
• Mathematically lossless compression
• Higher compression efficiency than other compression technologies
• Accelerated transmission speeds
• Native-embedded encryption of data and
• Efficient data indexing and archiving capabilities
   
 

The goal of data compression is to represent an information source (e.g. a data file, a speech signal, an image, or a video signal) as accurately as possible using the fewest number of bits.