- What is motion estimation in video processing?
- What are the general methodologies in 2 d motion estimation of video processing?
- Which frames are encoded using a combination of motion estimation and motion compensation?
- What is optical flow estimation?
What is motion estimation in video processing?
Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane.
What are the general methodologies in 2 d motion estimation of video processing?
There are two mainstream techniques of motion estimation: pel-recursive algorithm (PRA) and block-matching algorithm (BMA).
Which frames are encoded using a combination of motion estimation and motion compensation?
P-frame stands for Predicted Frame and allows macroblocks to be compressed using temporal prediction in addition to spatial prediction. For motion estimation, P-frames use frames that have been previously encoded.
What is optical flow estimation?
Optical flow, or motion estimation, is a fundamental method of calculating the motion of image intensities, which may be ascribed to the motion of objects in the scene. Optical flow is an extremely fundamental concept that is utilized in one form or another in most video-processing algorithms.