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GPABP-MMV is suitable for a variety of applications including time-sequence reconstruction of video frames, reconstruction of ECG signals, etc.
Time-frequency analysis and the Hermite projection method have been combined in the paper "Video frames reconstruction based on time-frequency analysis and Hermite projection method" by S. Stanković et al. to provide a method for temporal analysis and reconstruction of digital video sequences.
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The algorithms are evaluated with redundancy-rate-distortion (RRD) curves and per-frame reconstruction analysis.
By unifying the recovery of spatial conics without restrictions on their positions, our method can improve the efficiency and reliability of curvilinear wire-frame reconstruction.
An amplitude/phase frequency interpolation scheme with a geometrically based phase unwrapping scheme is presented that enables the long time frame reconstruction of the impulse responses from coarsely sampled frequency response functions.
In both cases, we achieve significant improvements of accuracy and reductions of frame reconstruction error compared to the estimated motion of a rigid body tracker, without motion blur handling.
The mode index and the transform coefficients are critical for proper frame reconstruction at the decoder.
Therefore, the combination of the multimedia stream video frames and frame reconstruction pixels would have better multimedia compression performance.
This SI is used for channel decoding and frame reconstruction in the decoding process of the WZ frame.
Fig. 1 Visual representations of ultra-short contiguous (non-overlapping) frame reconstruction [11] (a) and view-sharing (89 % overlapping) frame reconstruction (b) used with stationary and rotating gantry PET systems, respectively.
For improving the frame reconstruction quality, visual saliency-guided interpolation of the estimated temporal field is used.
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