Firstly, we do video segmentation and key frame extraction.
首先，进行视频分割和提取关键帧。
Video segmentation is the key technique in multimedia data retrieval.
视频分割是多媒体数据检索的关键技术之一。
Video segmentation is one of the key technique of the object recognition.
视频分割是目标识别的关键技术。
This paper introduced algorithms for video segmentation and scene clustering.
本文介绍了实现视频分割和场景聚类的算法。
First, we analysis and create general theoretical model of video segmentation.
首先讨论和建立了视频分割的一般理论模型。
A fast algorithm for MPEG video segmentation based on macroblock (MB) types was presented.
提出了一种基于宏块信息的快速MPEG压缩视频场景分割算法。
An automatic video segmentation algorithm based on background model is proposed in this paper.
提出一种基于背景模型的自动视频分割方法。
In both situations, efficient and accurate video segmentation and view synthesis are key issues.
在这两种情况下，高效精确的视频分割和视图合成都是关键问题。
This paper presents a video segmentation method based on a robust analysis of PMV and inter frame motion.
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 spatiotemporal video segmentation algorithm based on the generation of motion window.
本文提出了一种基于运动窗生成的时空视频分割方法。
A fast video segmentation algorithm based on background reconstruction is proposed for stereo video with static backgrounds.
针对背景静止的立体视频提出了一种快速的基于背景重构的视频分割算法。
This paper proposes an algorithm of video segmentation based on spatiotemporal information for the videos with fixed scenes.
针对固定场景的视频，提出一种基于时空分割的视频分割算法。
To realize the content-based retrieval and recovery of video, video segmentation into shots and its description are necessary.
为了实现基于内容的视频检索和恢复，必须将视频分割成不同的镜头，再对镜头进行描述。
The video processing includes video segmentation, video synthesis, video compose, video format conversion and other functions.
论文中视频处理主要包括视频分割、视频合成、图像序列合成、格式转换等功能。
Automatic video segmentation, which is based on SBD (shot boundary detection), is one necessary step in establishing video databases.
视频自动分割是实现视频数据库检索必不可少的一个过程，其基础是镜头边界检测。
In chapter three, we adopt the technique of video segmentation and particle filter to develop a new algorithm of multi-target tracking.
第三章介绍利用视频分割与粒子滤波实现多目标跟踪的算法。
Video segmentation is an important technology for video structuring and retrieval, with most research work now focused on shot detection.
视频分割是视频结构化和检索的重要技术，目前主要通过镜头分割得到。
In the process of analyzing, applying the video data, video segmentation is the foundation of analyzing, organizing, applying the video data.
在分析应用视频数据的过程中，视频分段是分析，组织，应用视频数据的基础。
It only takes 0.1s for the algorithm to perform motion estimation for a frame of picture. It can be used in real time video segmentation system.
用这种方法对一帧图像进行一次运动估计约需0.1秒，可以用于实时的视频分割系统中。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
This paper introduces video segmentation of temporal segmentation and spatial segmentation, presents a video object segmentation algorithm based on multi-frames difference.
文章介绍了基于内容的时域及空域视频分割技术，提出了一种基于多帧差异的视频对象分割算法。
A large number of video segmentation techniques have been developed in recent years. All of them can be classified (into) two groups, uncompressed field and compressed field.
近年来在视频分割领域出现了大量算法，这些算法总体上来说可以分为压缩域和非压缩域两类。
Now some American and European research government are taking up with the video segmentation based on CNN, which is new way and the foreland of neural network application field.
目前在美国和欧洲的一些权威研究机构，正在致力于采用CNN对视频分割进行研究，这是一种较新的方法，是神经网络在应用方面的前沿领域。
The video segmentation plays an important role in the application of multimedia, and has a widely future in video coding, video browsing, multi-media interacting and computer vision.
视频对象分割技术作为多媒体技术应用的一个主要方面，在视频编码、检索、多媒体交互和计算机视觉中有着极为重要的应用。
Key techniques for the realization of content-based video retrieval in digital library include video data modeling, video segmentation, video indexing, and video searching and browsing.
实现数字图书馆中基于内容的视频检索的关键技术包括：视频数据建模、视频分割、视频索引、视频查询与浏览。
In addition, for the special case of stationary background, this paper introduces an idea of video segmentation through background estimating and proposes an adaptive method for background estimating.
此外，针对背景静止的特殊情况，本文介绍了一种通过背景估计进行视频分割的思路，并且提出了一种自适应的背景估计方法。
Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding.
视频目标分割与立体匹配是目标基立体视频编码中的核心技术。
Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding.
视频目标分割与立体匹配是目标基立体视频编码中的核心技术。
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