• 运动估计通过多种匹配进行实验选择一种可以满足系统要求——新的三步搜索

    Through testing many different Block Matching Algorithms in the motion estimation, the New Three Step Search Algorithm is chosen, which can fulfill the requirement of the system.

    youdao

  • 三步搜索一种常用快速运动估计由于它初始而导致缓慢运动序列估计效果不能令人满意。

    The three-step search method is a commonly used fast motion estimation algorithm, but its initial step length is too big, thus the estimation effect of slow motion sequence is not so satisfactory.

    youdao

  • 实验结果证明,经改进MMX技术优化钻石搜索远胜于三步搜索法,大大提高程序运行效率,使系统达到了软件实时编解码的需要。

    Experiments results demonstrate that the application on the new diamond search algorithm optimized by MMX has magnificently improved the efficiency of compression ratio and computing speed.

    youdao

  • 弯曲应变最小”为优化准则、采用“三步循环坐标搜索”求解坐标。

    Using the criterion of "minimum bending strain energy", the optimum hoisting points of the column are determined with the method of "three step cycling coordinate search".

    youdao

  • 实验结果表明可以较小的搜索代价取得搜索相当效果,在搜索速度搜索效果方面优于三步(3ss)。

    Experiments show that the algorithm can obtain almost the same PSNR as full search (FS) at a low computation cost, and it excels three-step search (3ss) algorithm in searching velocity and effect.

    youdao

  • 达到比三步还要搜索次数运动补偿增益运动矢量均比三步明显改善

    Motion compensated gain and entropy of motion vector can be improved evidently, but the number of search is less then that of three step method.

    youdao

  • 于是人们提出许多快速搜索,包括三步三步和四这些在满足一定精度的条件下可以大大减少运算量

    Many fast block-based motion estimation algorithms have been proposed to reduce the computational complexity, for examples, three-step search, four-step search, new three-step search, etc.

    youdao

  • 达到比三步还要搜索次数运动补偿增益运动矢量均比三步明显改善

    Motion compensated gain and entropy of motion vector can be improved evidently, but the number of search is less then that oft...

    youdao

  • 达到比三步还要搜索次数运动补偿增益运动矢量均比三步明显改善

    Motion compensated gain and entropy of motion vector can be improved evidently, but the number of search is less then that oft...

    youdao

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