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This paper proposes an architecture for fixed mesh based deformable motion estimation block of video encoder.
In total, 12 N blocks ∑ t = 1 N f ∕ 2 N c t N s 2 N b 2 arithmetical operations are needed during the motion estimation step, where N c = 2 is the number of the best motion candidates N f = 7 is the number of frames, t is a time instant, N s = 24 size of the search window, N b is the size of the motion estimation block and Nblocks is the number of blocks in the frame.
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There are generally two kinds of motion estimation: block-matching algorithm (BMA) and pixel-based algorithm (PBA).
As the results listed in Table 3, motion estimation of block representation using a block matching algorithm constitutes the major part of the processing time of a bootstrapping video sequence by the proposed approach, which may be greatly reduced by parallel implementation.
For example, if the block size is used for motion estimation, the block data will be loaded into the BPU for SAD calculations.
In such case, the worst case will be the motion estimation using blocks, which is the most time consuming in the case of fixed block size.
This article investigates a new method of motion estimation based on block matching criterion through the modeling of image blocks by a mixture of two and three Gaussian distributions.
Furthermore, blocks in which wrong MVs are estimated can improperly influence motion estimation in neighboring blocks.
Second, as in motion estimation, the candidate block is selected from the search range in the reference frame.
Further studies based on different methods of motion estimation such as block matching or affine flow models [39] can be carried out to test the tracking system.
The basic building blocks for which motion vectors are produced as outputs in motion estimation are 16 ×16 blocks of pixels, commonly referred to as a macro-block.
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