MOTION VECTOR BASED IMAGE SEGMENTATION

摘要

One or more digital video frames are interpolated using motion compensated temporal interpolation (MCTI). The quality of motion vectors corresponding to object motion between the two adjacent second video frames is detected. An average of forward motion vectors and an average of backward motion vectors representing motion of the object are compared by calculating the absolute value difference of the averaged forward and backward motion vectors to detect the quality of the motion vectors and a control signal is generated corresponding to the detected quality. Customized Image segmentation based on a first mode of image processing, a second mode of image processing or a combination of the first and second modes of image processing is then performed based on the detected accuracy to generate the interpolated frame.