素分量

The algorithm has a premise that the colour differences among the pixels in a diamond field of 5 x 5 are almost the same,it uses the correlation interpolation between the known colour component of existing images and the different colour's component to obtain the unknown colour component.

该算法以5×5菱形领域内像素点的色差分量几乎相同为前提，利用当前像素的已知颜色分量和不同颜色分量之间的关联性插值得到未知的颜色分量。

In every period, do the following operations:# For each 8*8 block, do the discrete cosine transform, then take out direct current coefficient in each block, using the transformation above for each DC coefficient, the gold stands for the code of the spread-spectrum we use when embedding the different watermark bit in different frames, after all of the watermark information which we want to embed is embedded, then do the inverse discrete cosine transformation, and store the current frame in a new file.

于是利用DCT变换域的这点重要的几何不变性，我们可以推导出一种能够抵抗几何攻击的视频水印算法，即将所需要嵌入的水印信息以127位扩频序列作为辅助，以求和值形式嵌入到DCT变换后的每个宏块的每个DC系数当中，具体嵌入和提取算法如下：根据使用的扩频序列的长度N，基于相关的嵌入器需要选取包含N帧的视频子序列，令这N帧视频子序列作为一个嵌入周期，对于每N帧视频子序列做如下的操作，#即对于每个8×8的像素块进行DCT变换，然后取出每个DCT变换后的直流分量，对于每个DC系数，做如上所述的变换，其中gold为在第k帧中嵌入第i位水印信息时使用的扩频码字值，待将所有需要嵌入的水印信息全部嵌入后，再做反DCT变换，保存当前帧。

Before subsampling, let's assume we have a full-bandwidth YCbCr stream. That is, a video source generates a stream of pixel components in the form of Figure 2a.

假设在进行子采样前，我们拥有一路全带宽的 YCbCr 流，即视频源产生了一路像素分量构成的数据流，其形式如图2a 所示。

A vector was introduced to describe the system structure, the complex system was transferred into a network with different node levels. Put pheromone on nodes as strength of attraction to ants. Ants guided by this attraction search in all level to find the vector component.

把系统结构向量化，将复杂系统转化为分级网络，把信息素集中在网络的节点，作为节点对蚂蚁的吸引强度，指导蚂蚁在各级节点内搜索解向量的各级对应分量。

The proposed algorithm first detects smooth intervals based on gray variance from the original frame sequence, then concatenates them to constructs a new frame sequence. After that, video features such as pixel-wise difference, HSV histogram difference and edge histogram difference are fed to a SVM classifier to decide the types of different shot boundaries.

第一级分类器根据视频帧灰度方差特征，将无明显变化的视频序列从原始视频序列中分离出去，得到一个新的视频序列；第二级分类器在新视频序列的基础上，提取视频图像的像素对差值、HSV空间颜色直方图的各分量差值以及边缘直方图X，Y分量差值等视频特征，并采用支持向量机多分类策略进行镜头边界类型的检测。

It was found that the spectra contained two intense components and a weak one; the long lived component corresponds to the positronium.

配合时域介电谱方法用正电子湮没技术对硫酸三甘肽的铁电相变过程进行了测量，发现正电子寿命谱有两个较强的成份和一个很弱的成份，后者相应于正电子偶素，各分量在相变点附近很窄的温区出现奇异性质，对其起因作了解

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。