Gradient-based algorithms for block-oriented MAP estimation of motion and application to motion-compensated temporal interpolation
- 1 March 1991
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems for Video Technology
- Vol. 1 (1) , 72-85
- https://doi.org/10.1109/76.109148
Abstract
A study of block-oriented motion estimation algorithms is presented, and their application to motion-compensated temporal interpolation is described. In the proposed approach, the motion field within each block is described by a function of a few parameters that can represent typical local motion vector fields.. A probabilistic formulation is then used to develop maximum-likelihood (ML) and maximum a posteriori probability (MAP) estimation criteria. The MAP criterion takes into account the dependence of the motion fields in adjacent blocks. A procedure for minimizing the resulting objective function based on the Gauss-Newton algorithm is presented. The use of multiresolution techniques, essential for satisfactory performance, is discussed. Experimental results evaluating the algorithms for the task of motion-compensated temporal interpolation are presented. The relative complexity of the algorithms is also discussedKeywords
This publication has 17 references indexed in Scilit:
- Estimation of image motion fields: Bayesian formulation and stochastic solutionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Use of colour information in Bayesian estimation of 2-D motionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Motion compensated image interpolationIEEE Transactions on Communications, 1990
- Investigations of multigrid algorithms for the estimation of optical flow fields in image sequencesComputer Vision, Graphics, and Image Processing, 1988
- Ill-posed problems in early visionProceedings of the IEEE, 1988
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Noise Reduction in Image Sequences Using Motion-Compensated Temporal FilteringIEEE Transactions on Communications, 1984
- A spatio-temporal gradient method for estimating the displacement field in time-varying imageryComputer Vision, Graphics, and Image Processing, 1983
- Determining optical flowArtificial Intelligence, 1981
- Image Sequence CodingPublished by Springer Nature ,1981