Paper
2 May 1994 Software codec for personal computers based on the discrete cosine transform
Chris Pitts, J. Mark Beaumont, Saul Cozens, Neil A. Emms, David J. Myers
Author Affiliations +
Proceedings Volume 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies; (1994) https://doi.org/10.1117/12.174949
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
This paper describes the development of a compatible encoder and decoder pair (codec) for motion video. A study has been undertaken of compression algorithms of low computational complexity, which may be candidates for running in real time on a personal computer (PC). From this study a DCT based algorithm was selected for further development and implementation on a PC. The code has been implemented in C, with critical routines optimized in assembly language. The encoder/decoder is intended to facilitate video communication applications between personal computers without the need for dedicated compression hardware. A 33 MHz client PC connecting to a remote 66 MHz server PC via a 64 kbit/s dial-up digital link has been demonstrated. Live images grabbed by the server PC are compressed and transmitted to the client PC, requiring about 40 of the available 64 kbit/s. For 64 greyscale image of 144 X 120 pixels a frame rate of about 10 frame/s is achieved.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chris Pitts, J. Mark Beaumont, Saul Cozens, Neil A. Emms, and David J. Myers "Software codec for personal computers based on the discrete cosine transform", Proc. SPIE 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies, (2 May 1994); https://doi.org/10.1117/12.174949
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Computer programming

Algorithm development

Fractal analysis

Computing systems

Video

Video compression

Image filtering

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