全搜索算法搜索遍及搜索窗每一个点，计算量太大，搜索速度严重影响了其应用。
Full search algorithm searches each point covering the full search window, and too much computation leads to very slow search speed which places great impact on its application.
通过分析经典运动估计全搜索算法与EPZS算法后，在此基础上对EPZS算法的进行改进，提出了增强搜索模板的使用条件。
Analyze the classical motion estimation full search algorithm and EPZS algorithm to improve the EPZS algorithm. On this basis, an enhanced search template condition is proposed to use.
试验结果证明，该算法能够将计算复杂度降低到快速全搜索运动估计算法的3%，而PSNR和码率几乎与快速全搜索算法得到的结果相当。
Experimental results show that our algorithm can reduce the computational-complexity to 3% of fast full search motion estimation algorithm, with negligible PSNR loss and bit rate increase.
试验结果证明，该算法能够将计算复杂度降低到快速全搜索运动估计算法的3%，而PSNR和码率几乎与快速全搜索算法得到的结果相当。
Experimental results show that our algorithm can reduce the computational-complexity to 3% of fast full search motion estimation algorithm, with negligible PSNR loss and bit rate increase.
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