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首页> 外文期刊>IEEE Transactions on Circuits and Systems for Video Technology >VLSI implementation for low-complexity full-search motionestimation
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VLSI implementation for low-complexity full-search motionestimation

机译:低复杂度全搜索运动估计的VLSI实现

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Although many ASICs for motion estimation have been developed, either the chip complexity is too high or the optimal accuracy was not achieved. In this study, an adaptive full-search algorithm is presented to reduce the searching complexity with a temporal correlation approach. The efficiency of the proposed full search can be promoted about 5-10 times in comparison with the conventional full search while the searching accuracy remains intact. Based on the adaptive full-search algorithm, a real-time VLSI chip is regularly designed by using the module base. For MPEG-2 applications, the computational kernel only uses eight processing elements to meet the speed requirement. The processing rate of the proposed chip can achieve 53 K blocks/s to search from -127 to +127 vectors, using only 8 K gates
机译:尽管已经开发了许多用于运动估计的ASIC,但要么芯片复杂度太高,要么无法达到最佳精度。在这项研究中,提出了一种自适应的全搜索算法,以通过时间相关方法降低搜索复杂度。与常规的完全搜索相比,提出的完全搜索的效率可以提高大约5-10倍,而搜索精度保持不变。基于自适应全搜索算法,使用模块库定期设计实时VLSI芯片。对于MPEG-2应用程序,计算内核仅使用八个处理元素来满足速度要求。所建议芯片的处理速率仅使用8 K个门就可以达到53 K块/秒,以搜索-127至+127个向量

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