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In 3D-HEVC, various prediction mode sizes are used in the mode decision process.
Finally, the proposed enhanced function mode decision process at the decoder is demonstrated in Subsection 3.4.
These methods aim to simplify PU mode decision process that we sum up as follows.
The proposed algorithms simplify the mode decision process in SVC owing to its heavy computations.
All the above FMD algorithms try to speed up the full mode decision process from different aspects.
Third, based on the approximation of the SI and correlation channel model, a novel mode decision process is executed.
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Further room for optimization may be achieved by tuning the parameters controlling the mode decision processes.
A significant number of studies have focused on decreasing HEVC computation complexity by optimizing the intra-mode decision process.
The intra-mode decision process in HEVC is performed traversing all the quadtree partition depths and prediction modes to find the one with the minimum rate distortion cost.
Motra et al. [33] planned to reduce 35 modes to 17 modes following the direction information of the co-located neighboring blocks of the previous frame along with neighboring blocks of the current frame to speed up the intra-mode decision process, saving time of 23% compared with HM 6.0.
In this study, we first analyzed the statistical relationship between the best mode and the costs calculated through Rough Mode Decision (RMD) process and proposed an effective mode decision algorithm in intra-mode prediction process.
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