Paper
18 January 2004 MINMAX rate control with a perceived distortion metric
Yegnaswamy Sermadevi, Mark Masry, Sheila S. Hemami
Author Affiliations +
Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.527254
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
This paper presents a Rate-Distortion based optimization procedure for video coding that explicitly incorporates a perceptual distortion measure. A flexible MINMAX (minimizing the maximum distortion) optimization procedure based on Linear Programming (LP) is used to minimize the variation in distortion across frames. The distortion measure utilizes a multi-channel human vision model to generate a map of the perceived distortion at each pixel in a frame. This map is then collapsed into a single frame-level distortion. Lagrangian optimization is employed within each frame to assign macroblock-level quantization step-sizes that minimize this frame-level distortion. Coding results with MPEG-2 show a large reduction in peak perceived distortion with respect to TM5 as well as lower variation in distortion across the frames in the video sequence. Although results are presented for a specific metric, the LP based optimization procedure easily extends to other distortion measures.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yegnaswamy Sermadevi, Mark Masry, and Sheila S. Hemami "MINMAX rate control with a perceived distortion metric", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.527254
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Cited by 6 scholarly publications.
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KEYWORDS
Distortion

Computer programming

Video

Video coding

Visual process modeling

Optimization (mathematics)

Visualization

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