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An efficient motion estimation hardware architecture using Modified Reference Data Access(MRDAS) skip algorithm for high Efficiency Video Coding(HEVC) encoder

机译:使用改进的参考数据访问(MRDAS)跳过算法的高效运动估计硬件架构,用于高效视频编码(HEVC)编码器

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In this paper, we propose an efficient motion estimation hardware architecture for High Efficiency Video Coding (HEVC) using a Modified Reference Data Access Skip (MRDAS) for reducing the minimum memory bandwidth. The memory bandwidth is responsible for the throughput limitations in motion estimation, especially when dealing with high quality video of a large frame size and search range. This architecture is designed for reducing the memory bandwidth using a memory access sequence and MRDAS. We save about 80% of the memory access cycles for the reference data compared to a conventional method with about 0.2 dB video quality degradation. The architecture is designed in Verilog HDL with a 65 nm cell library. The simulation results show that the architecture can achieve real-time processing of a 3,840 × 2,160 video image size at 30 fps at 350 MHz.
机译:在本文中,我们提出了一种有效的运动估计硬件体系结构,该体系结构使用修改后的参考数据访问跳过(MRDAS)来减少最小内存带宽,从而实现了高效视频编码(HEVC)。内存带宽负责运动估计中的吞吐量限制,尤其是在处理大帧尺寸和搜索范围的高质量视频时。此体系结构旨在使用内存访问序列和MRDAS减少内存带宽。与传统方法相比,我们将参考数据节省了大约80%的存储器访问周期,而传统方法的视频质量却下降了约0.2 dB。该架构是在具有65 nm单元库的Verilog HDL中设计的。仿真结果表明,该架构可以在350 MHz下以30 fps的速度实时处理3,840×2,160的视频图像大小。

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