Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/288
Title: Extended analysis of motion-compensated frame difference for block-based motion prediction error
Authors: Hui, KC
Siu, WC 
Keywords: Autocorrelation model
Compound covariance
Hybrid video coding
Motion compensation
Motion model
Issue Date: May-2007
Publisher: IEEE
Source: IEEE transactions on image processing, May 2007, v. 16, no. 5, p. 1232-1245 How to cite?
Journal: IEEE transactions on image processing 
Abstract: In the past, most design and optimization work on hybrid video codecs relied mainly on experimental evidence. A proper theoretical model is always desirable, since this allows us to explain the phenomena of existing codecs and to design better ones. In this paper, we make use of the first-order Markov model to derive an approximated separable autocorrelation model for the block-based motion compensation frame difference (MCFD) signal. A major assumption of our derivation is that the net deformation of pixels is directional, in general, rather than a uniform error distribution in a block. We have also shown that the imperfect block-based motion compensation is significant to the theoretical study and the behavior of motion-compensated codecs. Results of our experimental work show that the derived model can describe the statistical characteristics of the MCFD signals accurately. The model also shows that the imperfectly formulated block-based motion compensation can result in an incorrect MCFD autocorrelation function while, conversely, it can form a better block-based motion compensation scheme.
URI: http://hdl.handle.net/10397/288
ISSN: 1057-7149
DOI: 10.1109/TIP.2007.894263
Rights: © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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