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。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
本文首先分析了基于内容的视频检索的关键技术。总结了镜头分割、视频流特征分析和镜头聚类方面的相关研究和算法。
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。
Based on the analysis of video content, this paper gives a model of video content description using the MPEG-7 standard.
本文在视频内容分析的基础之上，建立了基于MPEG - 7标准的视频内容描述模型。
In this paper, a content-based audio data analysis system is proposed, which accepts video sequence and implements scene detection and segmentation from audio part.
该文提出了一个基于内容的音频分析系统，对视频序列实现基于音频分析的场景检测和分割。
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。
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval.
将视频切分为镜头是视频内容分析及基于内容的视频检索和浏览的第一步。
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。
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。
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。
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。
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。
Video shot detection is very crucial for content-based video analysis. Considering the importance of video shots, we propose a MPEG video shot detection based on decision tree.
压缩视频镜头的分割是视频内容分析中的一个难点，由于镜头在组织和索引视频中起关键性的作用，提出了一种基于决策树的MPEG视频镜头分割算法。
The main jobs in this paper lie in:1. It has proposed a framework based on Basic Semantic Unit (BSU) for sports video content analysis and has studied slow-motion replay analysis in the framework.
提出了基于基本语义单元的体育视频内容分析框架，研究了这一框架中的慢镜头分析。
The main jobs in this paper lie in:1. It has proposed a framework based on Basic Semantic Unit (BSU) for sports video content analysis and has studied slow-motion replay analysis in the framework.
提出了基于基本语义单元的体育视频内容分析框架，研究了这一框架中的慢镜头分析。
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