采用移动向量法求取轮廓曲线的数字曲率。
Besides, Moving vector analysis is introduced to compute the digital curvature of the profile.
本实用新型可提高感测滚球滚动向量的灵敏度。
The utility model can improve the sensitivity of the sensing grounder rolling vector.
这只是一个简单的范例，演示了自动向量化背后的基本思想。
This is only a simple example, demonstrating the basic idea behind auto-vectorization.
可从图中风暴运动向量清楚看到与森姆相关的气旋式环流。
The cyclonic circulation associated with Sam is well depicted by the storm motion vectors. Fig.
这种优化和传统的针对向量处理器的自动向量化非常类似。
SIMD optimization is very similar to traditional automatic vectorization for vector processors.
提出了一种对P帧运动向量稳健分析计算帧间运动并进行分割的方法。
This paper presents a video segmentation method based on a robust analysis of PMV and inter frame motion.
因此，没有一个多项式(计算的复杂性)算法可以保证最优运动向量。
Therefore, there is no algorithm with polynomial computational complexity that guarantees optimal motion vectors.
结果表明，不确定的重力扰动向量是高精度惯导系统的一个重要误差源。
The results show that gravity disturbance vector is a major error source for high accuracy inertial navigation system.
传输当前块的预测误差信号和运动向量，这描述了参考画面中预测器块位置。
A prediction error signal and a motion vector for a current block are transmitted, describing the location of the predictor block in the reference picture.
高级预测模式可与无限制运动向量模式一起使用以提高预测性能及降低方块效应。
Combined with Unrestricted Motion Vector mode advanced prediction mode can be used to improve the prediction performance and reduce the "blocking" effects.
本文基于现实视频序列中运动向量的分布特征，提出了一种十字交叉六边形搜索算法。
Based on the motion vector distribution characteristics of real video sequences, a new cross-hexagon search algorithm is proposed.
它通过利用原始输入码流中的运动向量及编码模式信息来获取下采样后的相应编码信息。
The new macro-block modes information is decided by original modes and motion vectors after down-sampling.
本文基于现实视频序列中运动向量的分布特征，提出了一种十字交叉六边形搜索算法(NHEXS)。
Based on the motion vector distribution characteristics of real video sequences, a new cross-hexagon search algorithm (NHEXS) is proposed.
本发明所解决的问题是使用很少的、或者不使用运动向量数据辅助信息，来对视频信号进行编码和解码。
A problem solved by the invention is to encode and decode video signals using less or no motion vector data side information.
采用改进的双阈值法和基于模型的方法进行渐变镜头的检测，根据运动向量的变化检测摄像机的运动状态。
Dual threshold and Basing on model are used to detect gradual changes, and the change of motorial vectors is used to detect the motion of the camera.
为更好的解决这一问题，论文提出一种基于预测性运动向量的菱形搜索方法，有效的提高了视频压缩的性能。
For resolving the problem better, this paper presents an improved diamond search algorithm based on motion vector prediction, and it can efficiently improve the performance of video compression.
本文算法利用亮度DCTDC值、宏块类型和运动向量来确定MPEG压缩视频中运动活动和视觉内容变化。
The proposed method determines the motion activity and visual content change of the MPEG compressed video by using the luminance DCT DC value, macroblock type and motion vector.
然后采用运动向量归一化、噪声向量滤除、权值扩展向量中值（WEVM）滤波及前帧分割结果后向投影技术来得到对象的运动掩码；
Then the methods of normalizing MV, weighted extended vector median (WEVM) filter on the MV fields and the existent segmentation results projection were utilized to obtain the moving mask of object.
正如在Fortran范例中演示的那样，自动向量化带来的好处随着问题规模的增加而增加，最后当 n=2000 的时候达到了。
As illustrated in the Fortran example, the benefit of auto-vectorization grows as the problem size is increased, reaching a factor of 6.00x at n=2000.
根据运动向量偏向性模型的特性，设计了三个新的基于偏向性模型的搜索模板。这是在国际上首次提出的具有明显偏向性的运动搜索模板；
Three new search patterns based on the directional model are designed, which are the first directional search patterns with the distinct directionality in the world.
本文向您提供了对IBMMASS库以及 IBMXL C/C++和 XLFortran 汇编器的自动向量化功能的描述。
This article has offered you a description of the IBM MASS libraries, and the auto-vectorization capabilities of the IBM XL C/C++ and XL Fortran compilers.
这个发行版包含很多变化—其中两个特别的变化是引入了新的优化框架(Treessa)和支持自动向量化(autovectorization)。
This release included a large number of changes-two in particular being the introduction of a new optimization framework (Tree SSA) and support for autovectorization.
这个发行版包含很多变化—其中两个特别的变化是引入了新的优化框架(Treessa)和支持自动向量化(autovectorization)。
This release included a large number of changes-two in particular being the introduction of a new optimization framework (Tree SSA) and support for autovectorization.
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