Video stabilization is essential for improving the visual quality of shaky videos. Current video methods usually take feature trajectories in background to estimate one global transformation matrix or several matrices based on a fixed mesh, and warp frames into their stabilized views. However, these may not model camera motion well complicated scenes, such as scenes containing large foreground ...

With a focus on linear models with smooth functional covariates, we propose penalization framework (SACR) based the nonzero centered ridge, where center of penalty is adaptively reweighted, starting from ordinary ridge solution as initial center. In particular, introduce convex formulation that jointly estimates model’s coefficients and weight function, roughness center, constraints weights in ...