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A novel SAD architecture for variable block size motion estimation in HEVC video coding

机译:HEVC视频编码中可变块大小运动估计的一种新型悲伤架构

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Motion estimation (ME) is one of the critical and most time consuming tasks in video coding. The increase of block size to 64x64 and introduction of asymmetric motion partitioning (AMP) in HEVC makes variable block size motion estimation more complex and therefore requires specific hardware architecture for real time implementation. The ME process includes the calculation of SAD (Sum of Absolute Difference) of two blocks, the current and the reference blocks. The present paper proposes low complexity SAD (Sum of Absolute Difference) architecture for ME of HEVC video encoder, which is able to exploit and optimize parallelism at various levels. The proposed architecture was implemented in FPGA, and compared with other non-parallel SAD architectures. Synthesis results show that the proposed architecture takes fewer resources in FPGA when compared with results from non-parallel architectures and other contributions.
机译:运动估计(ME)是视频编码中的关键和最耗时的任务之一。块大小的增加至64x64并在HEVC中引入不对称运动分区(AMP)使变块大小运动估计更复杂,因此需要特定的硬件架构进行实时实现。 ME处理包括计算两个块,电流和参考块的SAD(绝对差别之和)。本文提出了HEVC视频编码器的HEVC视频编码器的低复杂性悲伤(绝对差异总和)架构,其能够在各个级别利用和优化并行性。拟议的架构是在FPGA实施的,与其他非平行悲伤的架构相比。合成结果表明,与非平行架构和其他贡献的结果相比,拟议的架构在FPGA中获取更少的资源。

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