Rate-distortion bounds for motion compensated rate scalable video coders

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Author

GW Cook, J Prades-Nebot, EJ Delp

Entry type

article

Abstract

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.

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Date

2004 – 10

Journal

Image Processing, 2004. ICIP '04. 2004 International Conference on

Key alpha

Delp

Pages

3121-3124

Volume

Publication Date

2004-10-01

Keywords

mean square error methods, motion compensation, rate distortion theory, video coding mean-square error quantizer, motion compensated rate scalable video coder, motion-compensated prediction, rate-distortion bound, rate-distortion function, video compression algorithm

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@Article{ Delp,
	title = "Rate-distortion bounds for motion compensated rate scalable video coders",
	author = "GW Cook, J Prades-Nebot, EJ Delp",
	year = "2004",
	month = "10",
	journal = "Image Processing, 2004. ICIP '04. 2004 International Conference on",
	pages = "3121-3124",
	volume = "5",
	abstract = "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.",
	keywords = "mean square error methods, motion compensation, rate distortion theory, video coding mean-square error quantizer, motion compensated rate scalable video coder, motion-compensated prediction, rate-distortion bound, rate-distortion function, video compression algorithm",
}