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首页> 外文期刊>Journal of electrical and computer engineering >Hardware Efficient Architecture with Variable Block Size for Motion Estimation
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Hardware Efficient Architecture with Variable Block Size for Motion Estimation

机译:具有可变块大小的硬件高效架构,用于运动估计

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Video coding standards such as MPEG-x and H.26x incorporate variable block size motion estimation (VBSME) which is highly time consuming and extremely complex from hardware implementation perspective due to huge computation. In this paper, we have discussed basic aspects of video coding and studied and compared existing architectures for VBSME. Various architectures with different pixel scanning pattern give a variety of performance results for motion vector (MV) generation, showing tradeoff between macroblock processed per second and resource requirement for computation. Aim of this paper is to design VBSME architecture which utilizes optimal resources to minimize chip area and offer adequate frame processing rate for real time implementation. Speed of computation can be improved by accessing 16 pixels of base macroblock of size 4 x 4 in single clock cycle using z scanning pattern. Widely adopted cost function for hardware implementation known as sum of absolute differences (SAD) is used for VBSME architecture with multiplexer based absolute difference calculator and partial summation term reduction (PSTR) based multioperand adders. Device utilization of proposed implementation is only 22k gates and it can process 179HD(1920 x 1080) resolution frames in best case and 47 HD resolution frames in worst case per second. Due to such higher throughput design is well suitable for real time implementation.
机译:诸如MPEG-x和H.26x之类的视频编码标准合并了可变块大小运动估计(VBSME),由于计算量大,从硬件实现的角度来看,它非常耗时且极其复杂。在本文中,我们讨论了视频编码的基本方面,并研究和比较了VBSME的现有体系结构。具有不同像素扫描模式的各种体系结构为运动矢量(MV)生成提供了各种性能结果,显示了每秒处理的宏块与计算资源之间的折衷。本文的目的是设计一种VBSME架构,该架构利用最佳资源来最大程度地减少芯片面积,并为实时实现提供足够的帧处理速率。通过使用z扫描模式在单个时钟周期中访问大小为4 x 4的基本宏块的16个像素,可以提高计算速度。硬件实现中广泛采用的成本函数(称为绝对差之和(SAD))用于具有基于多路复用器的绝对差计算器和基于部分求和项约简(PSTR)的多操作数加法器的VBSME体系结构。拟议实现的设备利用率仅为22k gates,每秒可在最佳情况下处理179HD(1920 x 1080)分辨率帧,在每秒最坏情况下可处理47 HD分辨率帧。由于这种更高的吞吐量,设计非常适合实时实施。

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