Motion interpolation using interframe coding for block motion picture

The block motion estimation technique is adopted by various video coding standards to reduce the temporal redundancy in video sequences. Video frames are often dropped during compression at very low bit rates. At the decoder, a missing frame interpolation method synthesizes the missed frames. We proposed two step motion estimation methods for interpolation, a framework for detecting and utilizing local motion boundaries in terms of an explicit model. Motion boundaries are modelled using edge detection and Hough transform. The motion of the occluding side is represented by affine mapping. The newly appearing region is also detected. Each pixel is interpolated differently according to adaptive interpolation based on the property of the pixel: moving, static, and disoccluded. The resulting quality of interpolated images is constantly better than block-based interpolation and is comparable to optical flow methods.