连续帧 meaning in Chinese
successive frames
Examples
- This method has lower computational requirements and uses fewer frames for detection
它的计算量小，处理的连续帧数少。 - In temporal segmentation a statistical model is used to automatically separate the moving areas from the background in a general video sequence . the spatial segmentation bases on the results of temporal segmentation and using region - growing algorithm in rgb space can locate precise boundary of moving object . lastly , using segment moving object as the initial model , moving object can be tracked by matching an image to a model based on hausdorff distance on a sequence of video , and the model is updated every frame to accommodate for changes in shape
时间分割中采用连续帧间差的统计假设检验，确定运动对象的位置，自动地分离出运动区域与背景区域；空间分割中则采用基于颜色的区域增长算法来精确地提取运动对象的轮廓；最后，将提取到的运动对象作为模板，对后续的视频序列，用基于hausdorff距离度量匹配，来跟踪并提取后续帧中运动对象。 - The following algorithms are proposed : 1 . an algorithm of shot segmentation is proposed . firstly , the data in each frame is quantized in hsv model ; then based on histogram of each frame , the difference of adjacent frames , the difference of cumulate frames and the percentage of the frame difference in a defined window are computed ; furthermore , the adaptive average in a window , the adaptive thresholds and sliding windows are obtained
具体内容为: 1 .在镜头分割中,首先将视频帧数据在hsv颜色空间下进行量化降维,随后依据直方图的统计特性,计算连续帧差值,累加帧差值及窗口帧差比,并以此确定自适应窗口均值、多个动态阈值及滑动窗口进行突变镜头和渐变境头分割。 - This thesis is part of the project of national science foundation of china “ study on color video coding based on four - dimensional matrix ” . a multi - matrix theory model has been established in the project . and the color video is presented into a four dimensional matrix model and the four - dimensional discrete cosine transform ( 4d - mdct ) is applied to reduce the correlation between color components and adjacent pixels
将多个彩色视频帧构建在一个四维矩阵模型中进行运动补偿预测、四维矩阵离散余弦变换和矩阵量化,最后利用基于上下文的变长编码方法进行压缩,以全面去除彩色视频各象素之间、各彩色分量之间以及连续帧之间的相关性,从而实现高信噪比条件下的高倍压缩。