Motion estimation and motion-compensated filtering of video signals

Authors:
Eric Dubois;Janusz Konrad
Affiliations:
INRS-Telecommunications, Verdun, Quebec, Canada;INRS-Telecommunications, Verdun, Quebec, Canada
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Year:
1993

Citing 3
Cited 0

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Bayesian Estimation of Motion Vector Fields

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Energy minimization approach to motion estimation

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Abstract

This paper is concerned with methods to estimate 2-D motion in time-varying images for application to motion-compensated filtering. The approach is based on the minimization of objective functions that can be interpreted as energies of suitable Gibbs-Markov random fields. A flexible class of cost functions is described that can be applied in a wide variety of specific applications, including the estimation of motion trajectories over several image frames. The issues of minimizing the cost function and applications to motion-compensated filtering are then briefly addressed.