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Adaptive search order determination for effective early termination in the N-step search algorithm

机译:N步搜索算法中用于有效提前终止的自适应搜索顺序确定

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Motion estimation occupies most of the required computation in video compression, and many fast search algorithms were propsoed to reduce huge computation. SAD (sum-of-absolute difference) calculation is the most computation-intensive process in the motion estimation. Early termination is widely used in SAD calculation, where SAD calculation is terminated and it proceeds to next search position if partial SAD during SAD calculation exceeds current minimum SAD. In this paper, we proposed an adaptive search order determination of N-step search algorithm for effective early termination where only search order of search positions are adaptive rearranged. Candidate search positions are examined in the order of their distances from the predicted motion vector, since early termination occurs earlier in the next candidate search positions if the previously examined search position has smaller SAD. From the simulation, it reduces the computation by 19∼29% without performance degradation.
机译:运动估计占据了视频压缩中大部分所需的计算,并且提出了许多快速搜索算法来减少巨大的计算量。 SAD(绝对差之和)计算是运动估计中计算量最大的过程。提前终止在SAD计算中被广泛使用,其中SAD计算终止,并且如果SAD计算过程中的部分SAD超过当前的最小SAD,它会前进到下一个搜索位置。在本文中,我们提出了一种N步搜索算法的自适应搜索顺序确定,用于有效提前终止,其中仅对搜索位置的搜索顺序进行自适应重新排列。因为如果先前检查的搜索位置具有较小的SAD,则在下一个候选搜索位置中较早发生终止,因此按照与预测运动矢量的距离的顺序检查候选搜索位置。通过仿真,它可将计算量减少19%至29%,而不会降低性能。

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