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Constrained One-Bit Transform Based Fast Block Motion Estimation using Adaptive Search Range
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AI
DOI：10.1109/TCE.2010.5606339.png)
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Abstract
En 中文
An efficient adaptive search range determination approach for constrained one-bit transform based block motion estimation is presented in this paper. This approach employs only one-bit images of previous and current frame to decide the search range for each block. Additional computational cost originated by the search range determination approach can be neglected because a computationally light and linear search range determination model is utilized. Experimental results show that the constrained one-bit transform based motion estimation method can be speeded-up up to 90% without any important performance loss in motion estimation accuracy(1).
Keywords:
Motion estimation
gray-coding
bit truncation
hardware architecture
systolic arrays
Journal
IF:
10.9
Papers:
5.1K
Citations:
6.8K
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