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Fig. 6 Examples of frames extracted from the test sequences.
Figure 1 shows examples of frames from the videos.
Thus, the visual dictionary D does not have to be trained with our experimental videos, and the frame clustering yields reliable results as shown in Fig. 2 that shows the examples of frames belonging to the same cluster.
The examples of frames are shown in Figure 4. Since the size of the moving object is small, we use the bounding boxes of the moving objects as the ground truth.
Examples of frames from these sequences are shown in Figures 7 and 8. Four standard definition (720 × 576) sequences are used to evaluate the performance of the blotch removal processes: LabB1, ArtB1, DanceB1 and DanceB2 with 100, 40, 100 and 60 frames, respectively.
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We also give examples of frame-indifferent and frame-dependent constitutive relations which have been used in multiphase flow studies.
MFCCs and PLPs are examples of frame-based features routinely used in speech recognition [15], which represent the spectral envelope and also its temporal evolution.
Figure 5 An example of frames with ABS configurations and scheduling restrictions at different macro sectors.
Since we deal with estimating driver head pose, we have annotated our sequence using three classes for pitch and three classes for yaw. Figure 5 represents an example of frames corresponding to each class according to the pitch and yaw angles.
Figure 2 Examples of left frames in sequence Modernism.
Figure 4 Example of frame-expanded N -best lattice (N = 5).
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