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Motion compensated prediction (MCP) implemented in most video coding schemes is based on translational motion model.
Motion estimation is the process which generates the motion vectors that determines how each motion compensated prediction frame is created from the previous frame.
The monocular codec uses the motion compensated prediction (MCP) structure.
Thus, SI is created from a codebook (CB) rather than by motion compensated prediction.
A conventional video codec uses encoder reconstruction of previous frames for motion compensated prediction.
Modern video coding schemes achieve high compression efficiency by exploring the temporary redundancy between frames via motion compensated prediction (MCP).
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The stereo codec combines MCP and disparity compensated prediction.
However, as previous video compression standards, it is based on a hybrid coding method, which uses transform coding with Motion-Compensated Prediction (MCP).
Motion-compensated prediction in particular, a key algorithm to achieve high compression performance by removing the temporal correlation between successive frames in a sequence, is very effective but computationally demanding.
Disparity Compensation View Prediction (DCVP) [63] is a straightforward extension of motion compensated temporal interpolation, where the prediction is carried out by motion compensation of the frames in other views using disparity vectors.
The PSNR of motion compensated is a popular performance measure for motion estimation, giving insight about the quality of the prediction.
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