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首页> 外文期刊>Journal of computational science >Design and implementation of low-power motion estimation based on modified full-search block motion estimation
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Design and implementation of low-power motion estimation based on modified full-search block motion estimation

机译:基于改进的全搜索块运动估计的低功耗运动估计设计与实现

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Due to the increasing demand of data transfer in video process. Motion estimation is an important component in power-consumption of video codec. And the important thing to design the motion estimation is power optimization, which is achieved by carefully designing motion estimator. This paper is proposed with modified full-search block motion estimation algorithm for different video coding standard. The proposed architecture for full-search block motion estimation allows the frames into nine 16x16 sub blocks. And finite-state machine is integrated with the proposed architecture for best block matching in the search area. In the proposed architecture, cells are used to store the current frame and compare the current frame with a reference frame to achieve the low-power by reusing the block. The proposed algorithm was designed using Verilog HDL and implemented in Altera FPGA using Altera Quartus II synthesis tool. Compare with the conventional architecture, our proposed architecture was designed with low power and area and high Peak signal to noise ratio (PSNR), which is 5 times faster than the conventional method. (C) 2016 Published by Elsevier B.V.
机译:由于视频过程中对数据传输的需求不断增长。运动估计是视频编解码器功耗中的重要组成部分。设计运动估计的重要因素是功耗优化,这是通过精心设计运动估计器来实现的。针对不同的视频编码标准,提出了一种改进的全搜索块运动估计算法。所提出的用于全搜索块运动估计的体系结构允许将帧分成9个16x16子块。并且将有限状态机与所提出的体系结构集成在一起,以在搜索区域实现最佳块匹配。在提出的架构中,单元用于存储当前帧,并将当前帧与参考帧进行比较,以通过重用该块来实现低功耗。该算法是使用Verilog HDL设计的,并使用Altera Quartus II综合工具在Altera FPGA中实现。与常规体系结构相比,我们提出的体系结构设计具有低功耗和面积以及高峰值信噪比(PSNR),比常规方法快5倍。 (C)2016由Elsevier B.V.发布

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