Rate-distortion bounds for motion compensated rate scalable video coders
被引:0
作者:
Cook, GW
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机构:
Purdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USAPurdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USA
Cook, GW
[1
]
Prades-Nebot, J
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h-index: 0
机构:
Purdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USAPurdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USA
Prades-Nebot, J
[1
]
Delp, EJ
论文数: 0引用数: 0
h-index: 0
机构:
Purdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USAPurdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USA
Delp, EJ
[1
]
机构:
[1] Purdue Univ, Video & Image Proc Lab, W Lafayette, IN 47907 USA
来源:
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
|
2004年
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D O I:
暂无
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
摘要:
In this paper, we derive and evaluate theoretical rate-distortion performance bounds for scalable video compression algorithms which use a single motion-compensated prediction (MCP) loop. These bounds are derived using rate-distortion theory based on an optimum mean-square error (MSE) quantizer. By specifying translatory motion and using an approximation of the predicted error frame power spectral density, it is possible to derive parametric versions of the rate-distortion functions which are based solely on the input power spectral density and the accuracy of the motion-compensated prediction. The theory is applicable to systems which allow prediction drift, such as the SNR-scalability in MPEG-2, as well as those with zero prediction drift such as the MPEG-4 fine grained scalable standard.