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All possible prediction modes are traversed.
These additional layers and prediction modes greatly increase coding complexity.
Directional prediction is applied for intra prediction modes.
The fast coding method is based on processed depth video and statistical analysis of prediction modes.
Compared with other prediction modes, the SKIP modes require less computational complexity.
The residuals of inter prediction modes are calculated by performing a motion estimation.
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Both are supervised classifiers, for which a model is trained on a labeled training dataset (training mode) and thereafter applied to predict new examples without further parameter tuning (prediction mode).
Fig. 2 Prediction mode distribution.
Step 7: determine the best prediction mode.
Model complexity constraints the applicability of the prediction mode.
Figure 8 Prediction mode structure and ROI coding scheme.
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