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The side information is usually obtained by motion compensated interpolation techniques using key frames.
This process tries to determine the movement of the called WZ frames by means of motion compensated interpolation techniques (as well as extrapolation) between adjacent key frames.
Motion compensated interpolation techniques are usually used to obtain side information.
Notably, SI is obtained by motion compensated interpolation with motion vectors smoothing resulting in enhanced performance.
The forward motion estimation, the bilateral motion compensated interpolation and the motion vector correction techniques using weighted median filters are used to generate the side information.
To recover higher-frequency components in temporal domain, motion compensated interpolation algorithms have been proposed and they usually employ a BMA to estimate MVs for moving objects[4, 7 9, 17 20].
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motion-compensated interpolation.
In this architecture, side information was generated at the decoder using motion-compensated interpolation (MCI).
Temporal scalability is realized by using a hierarchical motion-compensated interpolation and SI generation.
Second, we develop an efficient motion-compensated interpolation scheme, which matches lit and unlit frames to construct a sensitivity map.
For each unlit frame, the proposed algorithm synthesizes the corresponding lit frame using a motion-compensated interpolation scheme.
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