KEYWORDS: Video, Data communications, Internet, Telecommunications, Satellite communications, Data archive systems, Video compression, Receivers, Satellites, Data storage
Satellite communication and archiving systems are now designed according to an outdated Shannon information theory where all data is transmitted in meaningless bit streams. Video bit rates, for example, are determined by screen size, color resolution, and scanning rates. The video "content" is irrelevant so that totally random images require the same bit rates as blank images. An alternative system design, based on the newer Autosophy information theory, is now evolving, which transmits data "contend" or "meaning" in a universally compatible 64bit format. This would allow mixing all multimedia transmissions in the Internet's packet stream. The new systems design uses self-assembling data structures, which grow like data crystals or data trees in electronic memories, for both communication and archiving. The advantages for satellite communication and archiving may include: very high lossless image and video compression, unbreakable encryption, resistance to transmission errors, universally compatible data formats, self-organizing error-proof mass memories, immunity to the Internet's Quality of Service problems, and error-proof secure communication protocols. Legacy data transmission formats can be converted by simple software patches or integrated chipsets to be forwarded through any media - satellites, radio, Internet, cable - without needing to be reformatted. This may result in orders of magnitude improvements for all communication and archiving systems.
KEYWORDS: Internet, Video, Data communications, Video compression, Telecommunications, Receivers, Data compression, Image compression, Data conversion, Information theory
Conventional platform-centric communication systems are now being replaced by modern network-centric systems such as the packet-switching Internet. A number of problems arise, resulting mainly from the lingering effects of the outdated Shannon information theory. Data has traditionally been communicated in meaningless bit streams according to the Shannon theory. An alternative Autosophy theory communicates data "content" in Internet packets using universal data formats. The new theory evolved from research into self-assembling structures, such as chemical crystals and living trees. Similar natural principles can produce self-assembling data structures that grow in electronic memories without programming -- like data crystals or data trees. The learning algorithms grow hyperspace knowledge libraries for communication and archiving. The advantages include high lossless data compression, unbreakable "codebook" encryption, resistance to transmission errors, universally compatible data formats, and virtual immunity to the Internet's Quality of Service (QoS) problems. A content-based 64bit data format was developed for real-time multimedia Internet communications. Legacy data can be converted to the universal 64bit format using software patches or integrated chipsets. The codes can then be forwarded via any media (cable, radio, satellite, or the Internet) without reformatting. The new data formats could be phased in without disruption to existing communications.
KEYWORDS: Video, Image compression, Internet, Video compression, Receivers, Data compression, Data communications, Image transmission, Information theory, Televisions
Multimedia data may be transmitted or stored either according to the classical Shannon information theory or according to the newer Autosophy information theory. Autosophy algorithms combine very high "lossless" data and image compression with virtually unbreakable "codebook" encryption. Shannon's theory treats all data items as "quantities", which are converted into binary digits (bit), for transmission in meaningless bit streams. Only "lossy" data compression is possible. A new "Autosophy" theory was developed by Klaus Holtz in 1974 to explain the functioning of natural self-assembling structures, such as chemical crystals or living trees. The same processes can also be used for growing self-assembling data structures, which grow like data crystals or data trees in electronic memories. This provides true mathematical learning algorithms, according to a new Autosophy information theory. Information in essence is only that which can be perceived and which is not already known by the receiver. The transmission bit rates are dependent on the data content only. Applications already include the V.42bis compression standard in modems, the gif and tif formats for lossless image compression, and Autosophy Internet television. A new 64bit data format could make all future communications compatible and solve the Internet's Quality of Service (QoS) problems.
A new image compression format is being developed to replace the gif and tif formats for Internet image transmission. Based on the Autosophy information theory, the new format is especially suited to the Internet. Features include much higher compression ratios, improved resistance to the Internet's Quality of Service (QoS) problems, a universal hardware-independent communication format, and optional codebook encryption for secure communications. The all 16 bit data format allows the mixing of other Internet data types (including the live video, sound, text, and random bit files) within a universal communication protocol. Encoding speed is less than a second per image. Hardware chipsets are necessary for real-time encoding speed, but real-time retrieval can be achieved using software only. Conventional lossless image compression formats use the dynamically growing tree libraries of the LZW code. That yields minimal compression for small images and creates great sensitivity to transmission errors. The new image compression format, in contrast, uses a fixed pre-grown hyperspace pattern library. That provides much higher compression ratios, increased error resistance, and even optional encryption. The same algorithms can provide either lossless compression according to the Shannon theory or visually lossless compression according to the Autosophy theory.
A new television system based on the Autosophy information theory is now being developed for Internet video applications. Autosophy communication is already widely used on the Internet, with current applications including data compression in V.42bis modems, and the lossless still image compression standards GIF and TIF. Now Autosophy Internet video is being developed and is ready for demonstration. In conventional television, bit rates are determined entirely by screen size, resolution, and scanning rates. The images shown on the screen are irrelevant, such that random noise video requires the same bit rate as any other video content. In the new Autosophy-based television, in contrast, bit rates are determined entirely by the video content, essentially motion and complexity within the images. A very high degree of visually lossless video compression is possible because only moving portions of the video are transmitted. Transmitted codes represent multi-pixel image clusters found in a pre-grown hyperspace library. The system can dynamically reduce resolution of fast-moving objects when necessary to accommodate bandwidth restrictions. Ideally suited to the Internet environment, the new television also features high resistance to delayed or dropped packets, a universal hardware-independent communication format, and optional codebook encryption for secure communications.
KEYWORDS: Image compression, Image transmission, Televisions, Receivers, Data communications, Data storage, Data compression, Information theory, Content addressable memory, Computer programming
Three recently introduced technologies: a new Autosophy information theory; fast Content Addressable Memories; and Packet Switching protocols, are combined in data compression chipsets to improve network throughput with real-time lossless text and image compression. Compared with the cost of putting new cables into the ground or launching new satellites, data compression chipsets offer a much less expensive alternative for improving the bandwidth of broadband communication networks. Data compression is based on a new Autosophy information theory in which, in contrast to Shannon's theory, communication is determined only by the data content. In addition to high lossless data compression, this also provides virtually unbreakable 'codebook' encryption and easier communication via packet switching networks. The Autosophy theories provide eight known classes of self-learning Omni Dimensional Networks. Only the serial network is explained here for use in compressed text and video communications. A new Content Addressable Read Only Memory (CAROM) may increase data compression speed to more than 20 Million symbols per second, fast enough for virtually any network speed.
A new autosophy information theory provides an alternative to the classical Shannon information theory. Using the new theory in communication networks provides both a high degree of lossless compression and virtually unbreakable encryption codes for network security. The bandwidth in a conventional Shannon communication is determined only by the data volume and the hardware parameters, such as image size; resolution; or frame rates in television. The data content, or what is shown on the screen, is irrelevant. In contrast, the bandwidth in autosophy communication is determined only by data content, such as novelty and movement in television images. It is the data volume and hardware parameters that become irrelevant. Basically, the new communication methods use prior 'knowledge' of the data, stored in a library, to encode subsequent transmissions. The more 'knowledge' stored in the libraries, the higher the potential compression ratio. 'Information' is redefined as that which is not already known by the receiver. Everything already known is redundant and need not be re-transmitted. In a perfect communication each transmission code, called a 'tip,' creates a new 'engram' of knowledge in the library in which each tip transmission can represent any amount of data. Autosophy theories provide six separate learning modes, or omni dimensional networks, all of which can be used for data compression. The new information theory reveals the theoretical flaws of other data compression methods, including: the Huffman; Ziv Lempel; LZW codes and commercial compression codes such as V.42bis and MPEG-2.
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.
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