Motion-estimation for coding of moving video at 8 kbit/s with Gibbs-modeled vectorfield smoothing

Christoph Stiller

doi:10.1117/12.24233

1 September 1990 Motion estimation for coding of moving video at 8 kbit/s with Gibbs-modeled vectorfield smoothing

Christoph Stiller

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24233
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

Abstract

A new approach to motion-estimation for hybrid image sequence coding is presented. Instead of minimizing the displaced frame difference (DFD), the estimator introduced in this paper maximizes the probability to determine the ’true’ physical motion of the scene. The probability expression is derived from two models, one for the statistics of the prediction error image and one for the interdependency of vectors in a vectorfield. The physical vectorfield is smoother than the vectorfield of a DFD-estimator and stronger statistical bindings between vectors exist. Therefore a coding algorithm for the vectorfield combining contour coding of regions of similar displacement with predictive coding of the vectors inside each region proves efficient. This allows the estimator to work with decreased blocksize and (even in DFD sense) to supply a distinctly improved displacement-compensation without spending more datarate for displacement-compensation than the DFD- estimator.

Citation Download Citation

Christoph Stiller "Motion estimation for coding of moving video at 8 kbit/s with Gibbs-modeled vectorfield smoothing", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24233

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