在基于搜索起点预测和梯度式菱形搜索方法的基础上，提出了一种运动矢量场自适应搜索算法(MVFSAS)。
Based on prediction of searching starting-point and gradient diamond-shaped searching technique, the paper proposes a motion vector field self-adaptive searching algorithm (MVFSAS).
该算法采用交叉-准菱形搜索模板，并融合了搜索起点预测、半途中止准则和自适应搜索模式等技术。
The algorithm adopts a new cross-quasi-diamond search pattern and some effective techniques, which are composed of the prediction of initial search point, half-stop criteria and adaptive search modes.
分别为基于线性预测的准菱形搜索算法(LPPDS)和基于空间预测的多参考帧选择算法。
They are line prediction based pseudo-diamond search (LPPDS) algorithm and spatial prediction based multi-frame selection algorithm.
综合采用了初始搜索中心预测、菱形搜索算法和逐步采样偏差比较等技术。
A series of skills, such as initial search center prediction, the diamond search algorithm and successively sampled distortion measure, are also adopted in this algorithm.
综合采用了初始搜索中心预测、菱形搜索算法和逐步采样偏差比较等技术。
A series of skills, such as initial search center prediction, the diamond search algorithm and successively sampled distortion measure, are also adopted in this algorithm.
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