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Efficient sub-pixel interpolation and low power VLSI architecture for fractional motion estimation in H.264/AVC

机译:H.264 / AVC中用于分数运动估计的高效子像素内插和低功耗VLSI架构

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In this paper we propose an efficient, low power algorithm and its co-designed VLSI architecture for fractional-pel motion estimation (FME) in H.264/AVC. Our fractional-pel motion estimator uses a simplified FIR filter for half-pel interpolation. Usage of this filter reduces the required number of computations and the memory size and bandwidth for half-pel interpolation. Our simulations compare our algorithm with the state-of-the-art, in terms of rate-distortion performance and computational complexity. Our VLSI architecture is prototyped on a Field Programmable System on Chip (FPSoC), comprising a Virtex-II Pro FPGA and an embedded PowerPC processor. Our results show that our algorithm on average has better rate-distortion performance, compared to previous state-of-the-art FME algorithms, while its losses compared to FME in H.264/AVC, are insignificant. Our prototyped architecture is more hardware-efficient than previous FPGA-based architectures, in terms of power consumption, throughput, area and memory utilization. We also show that its performance in terms of transistor count, throughput and power consumption, are comparable to that of state-of-the-art ASIC implementations.
机译:本文针对H.264 / AVC中的小数像素运动估计(FME),提出了一种高效,低功耗的算法及其协同设计的VLSI架构。我们的分数像素运动估计器使用简化的FIR滤波器进行半像素插值。使用此过滤器可减少所需的计算数量,并减少半象素插值的存储器大小和带宽。我们的仿真在速率失真性能和计算复杂性方面将我们的算法与最新技术进行了比较。我们的VLSI架构是在现场可编程片上系统(FPSoC)上原型化的,该系统包括Virtex-II Pro FPGA和嵌入式PowerPC处理器。我们的结果表明,与以前的最新FME算法相比,我们的算法平均具有更好的速率失真性能,而与H.264 / AVC中的FME相比,其损失却微不足道。就功耗,吞吐量,面积和内存利用率而言,我们的原型架构比以前的基于FPGA的架构在硬件效率上更高。我们还表明,其在晶体管数量,吞吐量和功耗方面的性能可与最新的ASIC实施相媲美。

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