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Word Autocorrelation Redundancy Match (WARM) Technology

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2 Author(s)
Brickman, Norman F. ; IBM Communication Products Division, 18100 Frederick Pike, Gaithersburg, Maryland 20879, USA ; Rosenbaum, Walter S.

Word Autocorrelation Redundancy Match (WARM) is an intelligent facsimile technology which compresses the image of textual documents at nominally 145:1 by use of complex symbol matching on both the word and character level. At the word level, the complex symbol match rate is enhanced by the redundancy of the word image. This creates a unique image compression capability that allows a document to be scanned for the 150 most common words, which make up roughly 50% of the text by usage, and upon their match the words are replaced for storage/transmission by a word identification number. The remaining text is scanned to achieve compaction at the character level and compared to both a previously stored library and a dynamically built library of complex symbol (character) shapes. Applying the complex symbol matching approach at both the word and character levels results in greater efficiency than is achievable by state of the art CCITT methods.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:26 ,  Issue: 6 )