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In this paper, multiple descriptions can be generated using temporal downsampling.
Using priority encoding transmission, we attempt to overcome the limitation of specific scalable video codec and apply FEC-based multiple description to a common video coder, such as the standard H.264. Firstly, multiple descriptions can be generated using temporal downsampling and the frame with high motion changing is duplicated in each description.
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The SI for the current WZ frames can be generated using motion analysis on neighboring key and previously decoded WZ frames, thus exploring temporal correlations.
For a smoother display, movies of the F-actin dynamics were generated using a temporal sliding window (see Movie S1).
The graphical appearance of the fifty five unique temporal clusters that were generated using the cluster analysis is seen in Figure 2 and a schematic of the general biological processes of murine fracture healing based on prior studies [8] [11], [18], [36] is presented in the legend (bottom right).
The temporal discounting function (k) was generated using Mazur's hyperbolic discounting equation [ 117].
Twentypercentt is generated using nuclear power.
Transgenic mice were generated using standard procedures.
The clusters were generated using Pearson correlation.
Figures were generated using SPDBV and PyMol.
LD-structure was generated using HaploView 4.1.
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