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The fracture toughness GC has been calculated via Finite Element Analysis and mode partitioning has been determined according to the methodology described in the standard.
In this framework, ML tools were used in order to create rules from the relationships between certain data extracted from the H.264/AVC decoding process and the MB mode partitioning of SVC (this could be seen as the variable to understand).
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It can be observed that most modes belong to relatively large mode partitions.
The final mode partition is 8 × 16 which is a relatively large block type.
Th1 TNNJND) can be modeled as the tendency judgement of the mode partition as shown in Figure 9.
If the temporal discontinuity is larger, the block type has more opportunity for a comparatively detailed mode partition.
The different MB coding mode partitions are reduced into a sub-set based on the cited algorithm.
Therefore, it is conceivable that its block type should be selected as a relatively detailed mode partition.
According to the relation between the average RDcost16×16 and TNNJND, the mode candidates are decided to be the relatively large or detailed mode partition.
The examples of N NJND and TNNJND under different conditions of image content and mode partition are exhibited in Figure 6.
A completely analytical theory is developed for the mixed mode partition of one-dimensional fracture in laminated composite beams and plates.
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