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Pixels near object boundaries tend to have high matching errors after the global motion compensation.
where denotes the pixel matching error after the global motion compensation.
Liu et al. [14] extract moving objects in the compressed domain by considering global motion compensation, correspondence matrix, and temporal tracking.
Therefore, the local motion of a pixel, whose matching error is larger than a threshold after the global motion compensation, is refined using a bilateral block matching procedure.
Although, such MVs can be useful for the motion compensation in encoder, they include noise and should not be used for the global motion compensation and video stabilization operations.
The global parameters are sent to the decoder to estimate the global motion compensation (GMC) SI, and the combination between the GMC SI and MCTI SI is made at the decoder.
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However, these stabilization methods are global motion compensation-based methods for perspective imaging, which cannot be used to correct the deformations in panoramic images for the following reasons.
This approach consists of combining global and local motion compensation at the decoder.
In [18], it is proposed to combine global and local (MCFI-based) motion compensation estimation at the decoder side to improve the SI quality.
Motion compensation algorithm in [7, 8] employs overlapped block motion compensation (OBMC) and in [9] utilizes adaptive overlapped block motion compensation (AOBMC) to alleviate block artifacts and have better visual quality than OBMC.
This compensates for translational motion from both global motion and local growth motion of the tissue.
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