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Cost-Based Search Ordering for Rate-Constrained Motion Estimation Applied to HEVC

机译:用于HEVC的速率受限运动估计的基于成本的搜索排序

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In the context of motion estimation for video coding, combining a successive elimination algorithm (SEA) with a motion estimation algorithm reduces the number of computed cost functions without impact on rate or distortion. The SEAs use the sum of absolute differences to eliminate motion vector candidates in the search area that cannot improve the current minimum. The novelty in this paper is that instead of relying on a static geometric pattern (i.e., like a spiral), we proposed a dynamic algorithm that creates a cost-based search orderings. A dynamic cost-based search ordering not only improves elimination but also allows for early termination which removes, on average, 61% of the block-matching loop iterations performed by the rate-constrained successive elimination algorithm (RCSEA). Our experiments show that the proposed solution is 5 times faster than the high efficiency video coding (HEVC) HM encoder software in full search mode with a 0.02% impact on BD-Rate. This is twice the speed of the HEVC HM software encoder using only the RCSEA.
机译:在用于视频编码的运动估计的情况下,将连续消除算法(SEA)与运动估计算法结合使用可减少计算的成本函数的数量,而不会影响速率或失真。 SEA使用绝对差之和来消除无法提高当前最小值的搜索区域中的候选运动矢量。本文的新颖之处在于,我们提出了一种动态算法来创建基于成本的搜索顺序,而不是依赖于静态几何图案(即螺旋形)。动态的基于成本的搜索顺序不仅可以改善消除效果,而且还可以提早终止,从而平均消除了速率约束连续消除算法(RCSEA)执行的块匹配循环迭代的61%。我们的实验表明,在全搜索模式下,提出的解决方案比高效视频编码(HEVC)HM编码器软件快5倍,对BD-Rate的影响为0.02%。这是仅使用RCSEA的HEVC HM软件编码器速度的两倍。

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