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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.
Intra-prediction-mode decision making requires many computations of H.264/AVC video coding, and also extra time for mode generation for intra prediction mode decisions.
RD cost and prediction mode correlations among different depth levels or spatially near CUs also exist.
It is suitable to use a fine prediction mode test to determine the best one.
If we limit the prediction mode to SKIP and merge mode, less distortion will occur.
Depending on the prediction mode, a different scan order is used for HP coefficients.
The best prediction mode is selected by minimizing the following Lagrange function: (1).
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