Hyung-Jun Lim

A Region-Based Motion-Compensated Frame Interpolation Method Using a Variance-Distortion Curve

This brief proposes a new motion-compensated frame interpolation (MCFI) method, and it generates new intermediate frames from existing original frames. The proposed method partitions the original frames into arbitrary-shaped regions and estimates motions for the regions. The region shapes were initially determined by pixel intensity and iteratively refined on the basis of a variance-distortion curve. The experimental results show that the proposed method more accurately interpolates frames than previous MCFI methods.

An hierarchical motion estimation method using adaptive image down-sizing

This paper proposes a new hierarchical motion estimation method. Typical hierarchical motion estimation method usually down-sizes video frames by using a fixed sampling position, whereas the proposed method uses a non-fixed sampling position. In the proposed method, the sampling position of the current frame is determined by the motion estimation results of previous frames. Experimental results demonstrate that the proposed method obtains more accurate motion vectors than the typical hierarchical motion estimation method.

Motion compensated frame rate conversion using motion scaling

This paper proposes an efficient motion compensated frame rate conversion method using scaled motion. Different from previous methods where motion estimation and motion compensated interpolation having same search range, proposed method reduces the search range of motion compensated interpolation while search range of motion estimation remains unchanged. Experimental results show that the proposed method achieves internal memory reduction for storing pixels within search range of motion compensation without significant quality degradation.