Paper
10 January 1997 Suboptimal quantization control employing approximate distortion-rate relations for motion video coding
Yu-Ming Chien, David W. Lin
Author Affiliations +
Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263220
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
In typical image and video coding techniques, the choice of quantizer scales at the encoder plays a key role in determining the generated bit-rate and the coding performance. The distortion-rate (D-R) curve of a video unit fully characterizes the relation between quantizing distortion and encoder output rates and can thus be used in the choice of good quanitizer scales. However, obtainment of the D-R curves is a heavy computational load. We develop a piecewise-linear/exponential model to approximate the true curves for macroblocks. Based on this D-R model, we devise a quantizer control method which is a modification of that in Test Model 5 (TM5) for MPEG2. A reference quanitizer scale is first calculated from past bit usages and the buffer fullness as in TM5. Then the slope of each approximated macroblock D-R curve at this quanitizer scale is calculated. In line with human vision characteristics, an adjusted slope value is computed according to a macroblock activity measure. The quantizer scale yielding the adjusted slope on the D-R curve is found and used. Simulation results show that this method of quanitizer choice can attain not only higher PSNR values but also higher visual quality in coded video.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu-Ming Chien and David W. Lin "Suboptimal quantization control employing approximate distortion-rate relations for motion video coding", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263220
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Cited by 3 scholarly publications.
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KEYWORDS
Distortion

Quantization

Video

Computer programming

Video coding

Visualization

Modulation

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