基于分割代价预测的递归分区搜索空间剪枝

A. Wieckowski, Jackie Ma, H. Schwarz, D. Marpe, T. Wiegand
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引用次数: 5

摘要

H.265/HEVC的创新之一是四叉树划分框架。它允许灵活的块细分和跨编码图像的模式分配。增加的灵活性是以巨大的搜索空间扩展为代价的,这使得穷举搜索算法不适用。我们提出了一种新的早期终止条件,以跳过在公认的自顶向下编码方法中对整个树枝的穷举搜索。该条件是基于一个简单而直观的分割成本预测。它可以被参数化来控制加速和引起的bd速率损失之间的权衡。提出了数据驱动的参数估计和参数约简方法。对于随机访问编码,该方法可以实现30%的平均加速,而bd率损失为0.03%。在另一个权衡点上,当bd速率损失低于0.5%时,加速提高到40%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recursive Partitioning Search Space Pruning Using Split Cost Prediction
One of the innovations in H.265/HEVC is the quad-tree partitioning framework. It allows flexible block subdivision and mode allocation across the encoded picture. The increased flexibility comes at a cost of vast search space expansion, making exhaustive search algorithms inapplicable. We propose a novel early termination condition to skip the exhaustive search of whole tree-branches in the well-established top-down encoding approach. The condition is based on a simple and intuitive split cost prediction. It can be parametrized to control the trade-off between the speed-up and caused BD-rate loss. Data driven parameter estimation and parameter number reduction is presented. For random-access encoding, the method can achieve an average speed-up of 30% with a BD-rate loss of 0.03%. At another trade-off point, speed-up is increased to over 40% for a BD-rate loss below 0.5%.
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