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Yeh et al. [11] analyze visual complexity and temporal coherence to propose a frame selection algorithm for temporal video transcoder.
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Figure: Basic feature selection algorithm for selecting the best features.
Figure 5c illustrates the algorithm for frame selection.
The face selection algorithms have also been improved.
The algorithm is independent of reference frame selection and it offers an efficient mechanism for reordering frame indices which is vital when coding multi-view videos which contain multiple scenes.
Figure 3 The AWPP station selection algorithm.
Figure 6 Illustration of unit selection algorithm.
An iterative CpG locus selection algorithm was used to select signature gene candidates.
The toolkit used for conformer generation, alignment of conformers, and RMSD calculation produced the non-symmetry matrix (but approximate symmetric) resulting from (1) selection algorithm of starting position for the alignment (inertial frame alignment algorithm), (2) rigidity of reference conformer during finding 'centers-of-mass', and (3) single selection from multiple OEBestOverlay results.
The basic feature selection algorithm is shown in Figure 13.6.
The Primary Selection Algorithm will only accept one form from each household.
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