Paper
2 May 1994 ISO/IEC software implementation of MPEG-1 video
Chad E. Fogg, Peter Au, Stefan Eckart, Tsuyoshi Hanamura, Kinya Oosa, Brian Quandt, Hiroshi Watanabe
Author Affiliations +
Proceedings Volume 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies; (1994) https://doi.org/10.1117/12.174959
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
The MPEG-1 video standard, ISO/IEC 11172 Part 2, specifies the syntax and the semantic rules by which bitstreams are generated in the encoder, and arithmetic rules by which pictures are reconstructed in the decoder. The actual encoder model is left open to the designer to choose among different cost and quality tradeoffs. An example encoder strategy is described in the informative annex D. A technical report giving a full encoder and decoder implementation expressed in the ANSI C programming language will become the fifth part of the ISO/IEC 11172 document. The encoder is based on a test model shaped by participants of the MPEG committee that produces good picture quality while exercising the full video syntax. The decoder employs full arithmetic accuracy at all stages, and include bitstream conformance checks. Finally, a companion systems codec demonstrates the temporal link between the systems and the video layers. To better serve as a learning tool for novices, the code is optimized for clarity rather than execution speed. In addition to an overview of the program, this paper provides a brief description of the encoder model.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chad E. Fogg, Peter Au, Stefan Eckart, Tsuyoshi Hanamura, Kinya Oosa, Brian Quandt, and Hiroshi Watanabe "ISO/IEC software implementation of MPEG-1 video", Proc. SPIE 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies, (2 May 1994); https://doi.org/10.1117/12.174959
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KEYWORDS
Computer programming

Video

Quantization

Motion estimation

Motion models

Semantic video

Image processing

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