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Interframe correlation between adjacent frames is exploited to efficiently encode gain, pitch, and the transition frequency using the VQ method.

To evaluate the spectral evolution, the spectral difference between adjacent frames is used which is given by (33).

Interframe predictive coding is invoked only when the motion between adjacent frames is modest and a simple motion compensation operation can significantly improve the compression performance.

For stationary scene, the SSIM index between adjacent frames is large, so the image part, which is stationary in both adjacent frames, can be extracted by using the SSIM index values.

The translation between adjacent frames is estimated using the left and right end points of the extracted skeletal segments as landmarks.

Similar(55)

Inter-frame difference between two adjacent frames is computed as F H D t = ∑ u, v = 0 3 U T u, v F − H D t, u, v, (5).

A pixel of a frame is considered as an intensive one if the luminance pixel difference between the adjacent frames is bigger than 100.

Usually, SI is generated at the decoder by the motion-compensated interpolation (MCI) from the past and future key frames under the assumption that the motion trajectory between the adjacent frames is translational with constant velocity.

In general, the change between two adjacent frames is small, so the weight of a feature can be predicted by τ α t f - α t - 1 f Δ t = γ ̄ t - 1 f - α t - 1 f (32).

Figure 1b shows another type of scratch whose location in adjacent frames is almost stable.

The displacement of these two adjacent frames is usually small (<0.5 mm).

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