Saturday, November 12, 2005


ABO™ stands for "Adaptive Binary Optimization". ABO™ is a new and revolutionary approach to Digital Content Management.

It uses a non-traditional way of transforming data unlike JPEG (Discrete Cosine Transform), JPEG2000 (Discrete Wavelet Transform), JPEGLS, GIF, TIFF, PNG, MPEG1, MPEG2, MPEG4 or MP3. Traditional systems depend on the elimination of data to achieve compression. ABO™ does not.

Instead, ABO™ uses the high correlation found in digital content signals and efficiently codes these correlations using their patent pending algorithm. The correlation is efficiently encoded in appropriate bit-planes to achieve significant compression of data. Further compression is achieved by means of standard entropy source coding techniques like Huffman Coding.

If downloading digital photos stalls your PC, just think what it does for the data networks in hospitals. A midsize hospital typically gets 60 requests every day for MRIs and echocardiograms. At 10 megabtes each, these enormous images can easily cripple a network.
ABO™ does not require any complex transforms (like FFT, DCT & Wavelet Transforms). It is based on a simple but powerful logical formula. Implementation is carried out with basic mathematical operations. Unlike existing approaches that generate floating points (decimal values), ABO™ 's data is completely binary (integers).

Thus, ABO™ delivers unprecedented quality , clarity , speed and compression at lower complexities and power consumption to digital data (images, sound & text).

ABO™ is unlike existing schemes which are based on frequency or calculus transformations. Its unique, less complex algorithm enables much faster speed of encoding (compression) and decoding (decompression). Retrieval speeds will be faster as ABO™ checks only 1 bit per pixel as compared to 8 bits for grayscale currently or 24 bits per pixel for color.

Breakthrough compression ratios: MatrixView has tested successfully the ability to compress certain images and videos upwards of 300x compression ratio at mathematically lossless quality.
Note from Technophile: The ability to scale the compression ratios is limitless and potentially to hundreds and thousands of times!


Blogger Devang said...

Any idea's on how they're doing this with only simple logic? Huge dictionary? checking only 1 bit/pixel instead of 8 seems like a push in that direction. I don't trust any of those 'achieved compression ratios' those mean nothing unless they can give an example image...

4:09 AM  

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