Digital Video Compression
A four paper Session presented
at the WESCON/94 conference
Published / Presented at: WESCON/94 Conference, Session W9, Digital Video Compression, Anaheim Convention Center, Anaheim, California, Wednesday, September 28, 1994. Organizer/Chairman Klaus Holtz Omni Dimensional Networks.
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Paper 1: Digital Images,
Compression, Decompression And Your System
Authors: Conrad A. Maxwell, Rajeev Jayavant, Personal Computer Division, VLSI Technology, Inc. 8375 South River Parkway, Tempe, AZ 85284.
ABSTRACT: The dream system can playback whatever you ask of it and is inexpensive. The dream system plays back high resolution at full color and full speed. The simple answer to the problem of image transport, playback, recording and storage is digital compression / decompression, but that’s where the simplicity ends. Digital images are the target of playback, but come at a price. The limitations of digital images are the bandwidth to transport, compress, capacity to store, decompress and bandwidth to playback and record. Standard systems can do some of the compression / decompression with standard components. First, there are the graphics subsystem, storage, software, firmware and the main CPU. Each of these components has limitations based upon bandwidth. Second, there’s software decompression, which provides the most flexible method for playback at a reasonable cost. The limitations of software decompression are also seen in bandwidth analysis. Software compression is harder than decompression and can require great amounts of patience. So what’s the solution to these limitations? The solution for some users is image compression while some need image decompression and others require both. Deciding when you need a video codec is difficult. The right digital image processing method should become clear as one type of compression and decompression find their way on enough systems to form a critical mass.
Paper 2: HDTV Image Compression:
MPEG vs. Autosophy
Authors: Klaus Holtz, Eric Holtz, Omni Dimensional Networks, 631 O’Farrell Suite 710, San Francisco, CA 94109, Telephone 415 474-4860.
ABSTRACT: By the end of the year the United States is scheduled to set a new High Definition Television (HDTV) standard for the next generation television. The Federal Communications Commission (FCC) is in the final phases of testing the transmission protocols and image compression. The new standard is to be based on the MPEG-2 standard, which is supported by a consortium of large corporations. However, a question remains, whether the new standard will be a success or a dud like the Japanese MUSE standard was a few years ago. As it turns out, the new standard is based on very old and already superseded technologies. Even if the new TV is eventually made to work, it will produce images with barely tolerable distortions, while being very complex, expensive and hard to maintain. An emerging “Lossless” image compression scheme, based on Autosophy networks and a new “Information Theory”, may provide a better solution. Communications bandwidth will no longer depend on image size, resolution or frame rates, but rather only on the content of the images. Software simulation experiments have produced very promising results by combining high “Lossless” image compression with superior operating characteristics.
Paper 3: Storing Multimedia Images in a PC
Author: Alfred Lettieri, President, APPLIED AUTOSOPHY, 19318 Wyandotte, # 5, Reseda, CA 91335, Tel. 818 701 – 0237.
ABSTRACT: Storing full motion graphics animation or television images in a Personal Computer will generate large amounts of data, which will soon overwhelm even very large disc drives. Storing or retrieving images from a disc at 30 frames per second speed is not yet possible. The now common JPEG image compression standard can offer some relief at the price of generating more and more image distortions and visual artifacts with increased compression. A new “Lossless” image compression scheme, based on Autosophy networks, has been implemented and tested in an IBM PC (486). The algorithms operate by constructing pyramidal cascades of image fragments in a mathematical Omni Dimensional Hyperspace library, which is stored in a disc file. Each image fragment of any size is stored only once to be reused and recycled in subsequent image storage. This will lead to saturation in the storage requirement in which the more images that have already been stored the less additional storage space is required to store additional images. The storage requirement for graphics images becomes totally independent of the image size, image resolution or the number of frames to be stored. Storage requirement only depends on the “Novelty” within the images or how similar the frames are to each other. Experimental data confirms the algorithms and suggests a highly superior method for storing images in PC’s. But, real time animation or on-screen teleconferencing is only possible with specialized new graphics boards, which are slightly larger and slightly more expensive than conventional graphics boards.
Paper 4: Storing
Multimedia Database Information in Hyperspace
Authors: Hubert H. Love, Jr. Engineering Consultant, 1200 Carmela Lane, La Habra, CA 90631, (310) 690-9400. Alfred Lettieri, President, Applied Autosophy, 19318 Wyandotte, Suite 5, Reseda, CA 91335, (818) 701-0237.
ABSTRACT: As multimedia comes into wider use, and new ways to apply it are devised, increasing demands are made on both hardware and software to support ever longer and more elaborate presentations and tutorials. The present paper addresses the problems of storage requirements when the application data contains lengthy sequences of full-screen, full motion, high-resolution motion pictures from video or other sources. It describes an emerging technique for compressing the data, the autosophy technique, while retaining the full quality of the images, In particular, it presents a detailed explanation of the basic Autosophy compression and decompression processes.