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A Fast Variable Block Size Motion Estimation Algorithm with Refined Search Range for A Two-layer Data Reuse Scheme

机译:一种快速变块大小运动估计算法,具有两层数据重用方案的精细搜索范围

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Motion estimation (ME) serves as a key tool in a variety of video coding standards. With the increasing need for higher resolution video format, the limited memory bandwidth becomes a bottleneck for ME implementation. The huge data loading from external memory to the on-chip memory and the frequent data fetching from the on-chip memory to the ME engine are two major problems. To reduce both off-chip and on-chip memory bandwidth, we propose a two-layer data reuse scheme. On the macroblock (MB) layer, an advanced Level C data reuse scheme is presented. It employs two cooperating on-chip caches which load data in a novel local-snake scanning manner. On the block layer, we propose a fast variable block size motion estimation with a refined search window (RSW-VBSME). A new approach for hardware implementation of VBSME is then employed based on the fast algorithm. Instead of obtain the SADs of all the modes at the same time, the ME of different block sizes are performed separately. This enables higher data reusability within an MB. The two-layer data reuse scheme archives a more than 90% reduction of off-chip memory bandwidth with a slight increase of on-chip memory size. Moreover, the on-chip memory bandwidth is also greatly reduced compared with other reuse methods with different VBSME implementations.
机译:运动估计(ME)用作各种视频编码标准中的关键工具。随着对更高分辨率视频格式的需求越来越大,有限的内存带宽成为我实现的瓶颈。从外部存储器到片上存储器的大数据加载以及从片上存储器到ME引擎的频繁数据是两个主要问题。为了减少片外和片上存储带宽,我们提出了一种双层数据重用方案。在宏块(MB)层上,呈现了高级C数据重用方案。它采用两个合作的片上缓存,该缓存以新颖的本地蛇扫描方式负载数据。在块层上,我们提出了一种用精细的搜索窗口(RSW-VBSME)的快速变量块大小运动估计。然后基于快速算法采用基于快速算法的VBSME硬件实现的新方法。而不是同时获得所有模式的SADS,而是单独执行不同块尺寸的ME。这使得能够在MB内更高的数据可重用性。双层数据重用方案归档超过90%的片外存储器带宽减少,略微增加片上存储器大小。此外,与具有不同VBSME实现的其他重用方法相比,片上存储带宽也大大降低。

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