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The algorithm ensures getting good video quality while decreases the motion search time efficiently.
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A good fast motion search algorithm should efficiently speed up the encoding time and keep the quality of encoded video stable at the same time.
It is clear that adopting the full search scheme to obtain the best CU quadtree structure as well as the motion or disparity vector for each CU consumes considerable search time [25, 26].
Thus, the proposed ASPVC-Global with 100 random starts and 9.73 (according to Figure 5) inner-loop iterations until τ = 100% requires no more than 5.4 times operations compared to the full motion search by a mode where search length is 15.
Compared to the fractional as well as multi-mode motion search this extra operation does not restrict it from real time operations.
The computation cost that we have to pay for the white tree freedom nodes will be compensated for by the time reduction that is achieved with a motion search window refinement, as will be explained in the following section.
Contrarily, a very small motion search range contains a few candidate points for matching so that the best MV can be checked out within a short time.
where p defines the motion search range.
b Average search time.
Two main search steps are involved in the motion search: (1) initial search stage; (2) refined search stage.
Subpixel and multireference motion search methods are also examined.
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