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Proceedings Paper

Hyperspace storage compression for multimedia systems
Author(s): Klaus E. Holtz; Alfred Lettieri; Eric S. Holtz
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Paper Abstract

Storing multimedia text, speech or images in personal computers now requires very large storage facilities. Data compression eases the problem, but all algorithms based on Shannon's information theory will distort the data with increased compression. Autosophy, an emerging science of `self-assembling structures', provides a new mathematical theory of `learning' and a new `information theory'. `Lossless' data compression is achieved by storing data in mathematically omni dimensional hyperspace. Such algorithms are already used in disc file compression and V.42 bis modems. Speech can be compressed using similar methods. `Lossless' autosophy image compression has been implemented and tested in an IBM PC (486), confirming the algorithms and theoretical predictions of the new `information theory'. Computer graphics frames or television images are disassembled into `known' fragments for storage in an omni dimensional hyperspace library. Each unique fragment is used only once. Each image frame is converted into a single output code which is later used for image retrieval. The hyperspace image library is stored on a disc. Experimental data confirms that hyperspace storage is independent of image size, resolution or frame rate; depending solely on `novelty' or `movement' within the images. The new algorithms promise dramatic improvements in all multimedia data storage.

Paper Details

Date Published: 1 April 1994
PDF: 19 pages
Proc. SPIE 2188, High-Speed Networking and Multimedia Computing, (1 April 1994);
Show Author Affiliations
Klaus E. Holtz, Omni Dimensional Networks (United States)
Alfred Lettieri, Omni Dimensional Networks (United States)
Eric S. Holtz, Omni Dimensional Networks (United States)

Published in SPIE Proceedings Vol. 2188:
High-Speed Networking and Multimedia Computing
Arturo A. Rodriguez; Mon-Song Chen; Jacek Maitan, Editor(s)

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