In this paper, we present an improved approach to predictive video decoding based on global and local motion
reliability. The framework consists of three processing stages. Global motion (GM) estimation and motion reliability
analysis are the key components in the first stage, where we model global motion and refine the MV field. In the second
stage, we predict local and global motion for the target frame, and determine corresponding weights based on the Linear
Minimum Mean Square Error (LMMSE) criterion. Finally in the third stage, a temporal interpolator is applied to
compose two future frames, which are linearly combined to form the final predicted frame. Our results indicate the
proposed method achieves better visual quality compare to other state-of-the-art predictive decoding approaches,
particularly in sequences involving moving camera and objects.