Abstract: An appropriate motion vector to assign to a pixel in a digital video frame is performed by a comparison of motion vectors of particular surrounding pixels. Direction of at least one of color transition or color brightness transition in the digital video frame is detected to detect direction of object boundaries in the digital video frame. The particular surrounding pixels are selected and grouped (filtered) according to the detected object boundary direction at each pixel. A comparison of the motion vectors of the surrounding pixels then provides information on which group of pixels to assign a current pixel being processed based in part on how close the motion vectors of the surrounding groups match a group pixels to which the pixel being processed belongs.

Abstract: An appropriate motion vector to assign to a pixel in a digital video frame is performed by a comparison of motion vectors of particular surrounding pixels. Direction of at least one of color transition or color brightness transition in the digital video frame is detected to detect direction of object boundaries in the digital video frame. The particular surrounding pixels are selected and grouped (filtered) according to the detected object boundary direction at each pixel. A comparison of the motion vectors of the surrounding pixels then provides information on which group of pixels to assign a current pixel being processed based in part on how close the motion vectors of the surrounding groups match a group pixels to which the pixel being processed belongs.

Abstract: An appropriate motion vector to assign to a pixel in a digital video frame is performed by a comparison of motion vectors of particular surrounding pixels. Direction of at least one of color transition or color brightness transition in the digital video frame is detected to detect direction of object boundaries in the digital video frame. The particular surrounding pixels are selected and grouped (filtered) according to the detected object boundary direction at each pixel. A comparison of the motion vectors of the surrounding pixels then provides information on which group of pixels to assign a current pixel being processed based in part on how close the motion vectors of the surrounding groups match a group pixels to which the pixel being processed belongs.

Abstract: 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.

Abstract: An appropriate motion vector to assign to a pixel in a digital video frame is performed by a comparison of motion vectors of particular surrounding pixels. Direction of at least one of color transition or color brightness transition in the digital video frame is detected to detect direction of object boundaries in the digital video frame. The particular surrounding pixels are selected and grouped (filtered) according to the detected object boundary direction at each pixel. A comparison of the motion vectors of the surrounding pixels then provides information on which group of pixels to assign a current pixel being processed based in part on how close the motion vectors of the surrounding groups match a group pixels to which the pixel being processed belongs.

Abstract: 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.