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Platform based design of all binary motion estimation (ABME) with bus interleaved architecture

机译:基于平台的所有二进制运动估计(ABME)的设计与总线交错架构

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This paper presents an efficient hardware-software implementation with a macroblock based pipelining and a bus interlaced architecture for all binary motion estimation (ABME), which has been proven to be simple and low cost for hardware design. The bus interleaved preprocessing module of the ABME architecture can generate downsampling and binarized data in the same flow without additional dedicated hardware. With the 3-layer binary bitplane of ABME, the authors used a two-dimensional (2-D) mapping unit and a binary adder tree instead of a systolic array to compute the block matching metric, which is sum of difference (SoD), in one cycle. In addition, a new bus bandwidth reduction scheme is proposed by reusing the binarized image, which can achieve up to 67% bus bandwidth saving. The experiment shows that for each macroblock, the design could finish ABME within 283 cycles with 65k gate counts synthesized by UMC 0.18/spl mu/m cell library.
机译:本文介绍了具有基于宏块的流水线的高效硬件 - 软件实现,以及所有二进制运动估计(ABME)的总线隔行界面,已被证明是硬件设计的简单和低成本。 ABME架构的总线交错预处理模块可以在没有额外的专用硬件的情况下在相同的流中生成下采样和二值化数据。使用ABME的3层二进制位平面,作者使用了二维(2-D)映射单元和二进制加法器树,而不是收缩阵列,以计算块匹配度量,这是差异(SOD)的总和,在一个周期。另外,通过重用二值化图像提出了一种新的总线带宽减少方案,其可以实现高达67%的总线带宽节省。该实验表明,对于每个宏块,设计可以在283个周期内完成ABME,通过UMC 0.18 / SPL MU / M细胞库合成65K栅极计数。

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