Applications for Lossless Data Compression
A four paper Session at the
Wescon/93conference
Published / Presented at: Wescon/93 Conference, TECHNICAL CONFERENCE Session 7, Applications for Lossless Data Compression, September 28, 1993, Moscone Convention Center, San Francisco, California. Organizer/Chairman Klaus Holtz, Omni Dimensional Networks.
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Paper 1: The
Evolution of Lossless Data Compression Techniques
Author: Klaus Holtz, Omni Dimensional Networks, 631 O’Farrell #710, San Francisco, CA 94109, Telephone 415 474-4860.
ABSTRACT: Lossless data compression has become an emerging giant in the 1990s. What used to be a plaything for academics and mathematicians has suddenly exploded into a $300 Million market. Commercial examples are file compression software packages that can more than double the storage in disc files while the new CCITT V.42bis standard can double the transmission rates in modems. Applications will soon spread into digital Image Compression (HDTV), Teleconferencing, Wide Area Networks (WAN, ISDN), Digital Audio Tapes (DAT) and brain-like databases (Autosopher). This market may reach $100 Billion by the year 2000. What happened to make this possible ?. What are the tricks and algorithms used by the various competing methods each championed by different vendors and the battle for the best algorithm is far from being settled. But the best is yet to come. Inexpensive chip-sets may soon become a standard utility in most computers and communications networks while image compression and brain-like self-learning Autosopher are just around the corner.
Paper 2: Data
Compression for Disc Files and Communication Networks
Author: Klaus Holtz, Omni Dimensional Networks, 631 O’Farrell Suite 710, San Francisco, CA 94109, 415 474-4860.
ABSTRACT: Data compression has suddenly become big business. Software packages or plug in modules can now more than double the storage capacity in disc drives while the new CCITT V.42bis standard can double the transmission speed in modems. Soon inexpensive chip sets will become a standard utility in most personal computers or communication networks. These chips may combine the highest compression ratios with optional unbreakable data encryption at a speed of more than 10 Million characters per second. This may open additional markets for high speed communications networks such as: ISDN, LAN’s, WAN’s or wireless networks, This paper will provide a toolbox of ideas, from basic concepts to the latest implementations, to help in the design of custom data compression systems.
Paper 3: Lossless Image Compression using
Autosophy Networks
Author: Alfred Lettieri, Applied Autosophy, 19318 Wyandotte, Suite 5, Reseda, CA 91335, 818 701 – 0237.
ABSTRACT: Parallel Autosophy networks may soon provide an entirely new technique for transmitting television or for storing graphic images in a computer. Unlike in the now common JPEG or MPEG standard the new compression technique will not distort the images or produce visual artifacts. The transmission bandwidth in television or the storage requirements in computer disc files is entirely independent of the image size, image resolution or frame rates. It only depends on “Novelty” or “Movement” within the images or how similar the images are to each other. In teleconferencing or graphics animation only a small area in the images changes between frames. These changing portions in the images are selectively encoded for transmission or for storage in a peculiar mathematical omni dimensional hyperspace library in which no image portion is stored twice. The more images are already stored the less memory space is required to store images leading to rapid memory saturation and enormous data compression. For television the input images are compared like a jigsaw puzzle with all the images in the hyperspace library. The largest matching image portions are encoded into “Superpixel” codes, which may represent any large portion of the image. For computer graphics storage the input images are absorbed in the hyperspace library and represented by single output codes per frame to the computer. A software simulation in our laboratory, using C++ language in an IBM PC, has demonstrated the enormous potential of these new image compression techniques. Hardware systems will soon follow.
Paper 4: Data
Compression in Brain-like Multimedia Data Bases
Author: Charles Alfred Finnila, Hughes Aircraft Company, P.O. Box 92426, Los Angeles, CA 90009-2426.
ABSTRACT: Self-growing autosophy data networks may also be used to design brain-like trainable general databases in which the information is stored in a highly compressed format. Any portion of the text or image data is only stored once and is recycled in subsequent data storage. This will lead to reduction in the rate of memory increase as databases become large since the more data is already stored, the less memory space is required to store additional units of data. The data is stored in a mathematical omni dimensional hyperspace. Access to any information is fast and independent of the database size. The system may be taught very much like a human child using grammatical language and without any conventional data processing or programming. Images are stored by showing them to a television camera or scanner and associating them with written text. Compared with conventional programmed data processing databases the new autosopher can store ant type of data without any need for formats or frames. Such “Black Box” systems totally organize their own internal data storage to become more and more efficient as the database size increases.