Shot boundary detection is the basis of video analysis.
镜头边界检测是视频分析的基础。
Therefore, efficient sport video analysis is necessary.
因此，高效的体育视频分析很有必要。
Shot boundary detection is an important step in video analysis.
镜头边界检测是视频分析的重要一步。
Salient point extraction is an important research issue in content-based video analysis.
文中提出一种基于局部复杂度视频序列中显著点的提取方法。
It is one of key technique of video analysis and motion predication in video compression.
在视频图像数据压缩技术中，视频分析及运动预测是其中的关键技术之一。
So, the emphasis of this paper is optimization of motion predication based video analysis.
因此本文的重点就是基于视频分析对运动预测和运动补偿进行优化。
This paper introduced a video server oriented content based video analysis and retrieval system.
介绍一个面向视频服务器的基于内容视频分析与检索系统。
The video analysis on human and face is one of the hot and difficult computer vision technologies.
面向人的视频理解尤其是对人脸进行分析，是计算机视觉技术研究中的一个热点与难点。
The study on shot transition detection is an active research field in video analysis and retrieval.
镜头检测算法的研究是视频分析与检索中较为活跃的研究领域之一。
This thesis focuses on content-based video analysis and retrieval technology in sports video domain.
本论文面向体育视频领域，研究基于内容的视频分析和检索技术。
Key frame extraction is one of fundamental processes in video analysis and content-based video retrieval.
关键帧提取技术是视频分析和基于内容的视频检索的基础。
Scene change detection is one of fundamental processes in video analysis and content based video retrieval.
场景分割技术是动态视频分析和基于内容的视频检索的基础。
It is important to organize the unstructured video data properly for content video analysis and application.
合理地组织视频数据对于基于内容的视频分析和应用有着重要的意义。
In Chapter 5, we propose a novel algorithm for multi-modal video analysis based on the Maximum Entropy model.
在第五章中，我们提出了一种基于最大熵的多模态视频分析技术。
As a fundamental unit in video analysis, automatic shot detection and classification plays a significant role.
镜头是视频的基本组成单元，其自动检测与分类是视频分析的重要任务。
It is important to properly organize the unstructured video data for content-based video analysis and retrieval.
合理地组织视频数据对于基于内容的视频分析和检索有着重要的意义。
Current video analysis methods are allowing expert coaches to develop an understanding of techniques better than ever before.
目前所使用的录像分析方法使体育教练比以往更深入地理解技术。
However, sometimes a video analysis needs to be proceeded without revealing sensitive information, e. g. the identity of people.
但是，有时希望只进行视频分析而不暴露敏感信息，例如人员身份。
Bosch Security Systems, Inc., of Fairport, New York, has introduced the latest version of its Intelligent Video Analysis software.
博世安防系统公司(纽约费尔·波特)最近发布了其最新版的智能视频分析软件。
Money's team used high-speed video analysis to study spores thrown into the air by a biomechanical process as elegant as it is miniscule.
曼尼的团队利用高速摄像分析的方法对孢子投掷到空气中的生物力学过程进行了研究。这一过程如同草写的小字般优雅简洁。
It is not only the necessary precondition of the semantic-based video analysis, but also the basis of the content-based video processing.
它是进行基于语义的视频分析的必要前提，也为基于内容的视频处理提供了基础。
In this paper, we present an effective framework for soccer video analysis and summarize the soccer video by using cinematic and object features.
该文描述了一种有效的框架对足球视频进行结构分析，根据电影特征和对象特征生成视频概要。
It is still a great challenge to integrate all the information above to establish a general model for content-based video analysis and retrieval.
怎样将这三种信息有机的综合起来，形成通用的视频分析与检索模型，目前仍然是该领域一个极富挑战性的课题。
The experimental results show the effectiveness of the proposed algorithm, from which the performance of video analysis and retrieval can be expected to benefit.
实验结果表明，本文算法能有效识别多种镜头类型，对视频分析、检索等具有一定实用价值。
Intelligent video analysis technology is the key technology of intelligent video surveillance, the core of changing passive surveillance into active identification.
智能视频分析技术是智能视频监控的关键技术，是变被动监控为主动识别的核心所在。
Therefore, the automatic video analysis system emerges as The Times require, and the research of automatic video classification algorithm also becomes a research focus.
为此，视频的自动分析系统便应运而生。视频的自动分类检测算法研究也成为一个热点。
In recent years, semantic content-oriented video retrieval attracts more and more attention, and its aim is to achieve the automatic semantic video analysis and retrieval.
近年来，面向语义内容的视频检索受到越来越多的关注，它的目的是实现视频的自动语义分析和检索。
And then, the characteristic of video data and the model structure of video analysis are presented. It is explained how to get the seriate image frame sequence from the video.
其次，分析了视频数据的特点和视频数据处理的层次化结构，并介绍了将视频转化为连续图像帧序列的方法。
And then, the characteristic of video data and the model structure of video analysis are presented. It is explained how to get the seriate image frame sequence from the video.
其次，分析了视频数据的特点和视频数据处理的层次化结构，并介绍了将视频转化为连续图像帧序列的方法。
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