Global motion identification for image sequence analysis and coding

A new method is proposed to estimate global motion parameters from an unusual initial dense velocity field. The authors first want to obtain a compact representation of a dense velocity field and compute a spatiotemporal motion-based segmentation; then these parameters are used as initial values of a cost-function minimization algorithm and applied within a motion compensation loop for image sequence coding. Promising results are obtained on real TV image sequences. A compact motion representation is generated at each frame, and a quite interpretable qualitative and quantitative motion field is synthesized. Moreover, high quality of reconstruction and motion interpretation is obtained using the minimization stage