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Hierarchical motion estimation using binary pyramid with 3-scale tilings

机译:使用二进制金字塔的分层运动估计,具有3尺寸划线

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In this paper, a hierarchical motion estimation algorithm using a binary pyramid (HMEBP) with 3-scale tilings is proposed. In the HMEBP scheme, motion estimation is performed using three block sizes in the real domain at the topmost layer. At the intermediate layers, each candidate motion vector is refined in the binary domain at three different scales and the best motion vector from each scale is propagated to the next layer for further refinement. At the lowest layer, one motion vector is selected for refinement for each macroblock based on minimizing the motion-compensated predicted error. The proposed technique reduces computational complexity greatly compared with the full search because motion estimation in the binary domain only involves Boolean logic operations. This results in a substantial reduction in hardware complexity. Simulations on three MPEG sequences show the performance of the HMEBP is comparable with the full search.
机译:在本文中,提出了一种具有带3尺度划线的二进制金字塔(HMEBP)的分层运动估计算法。在HMEBP方案中,在最顶层的真实域中使用三个块大小来执行运动估计。在中间层,每个候选运动矢量在二进制域中在三个不同的尺度中精制,并且每个刻度的最佳运动矢量被传播到下一个层以进行进一步改进。在最低层处,选择一个运动矢量用于基于最小化运动补偿预测误差的每个宏块的改进。所提出的技术与完整搜索相比,该技术将计算复杂性大大比较,因为二进制域中的运动估计仅涉及布尔逻辑操作。这导致硬件复杂性大幅降低。三个MPEG序列的仿真显示HMEBP的性能与完整搜索相当。

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