Shot boundary detection is a key technology in content based video retrieval system.
镜头边界检测是基于内容视频检索中的关键技术。
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。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
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。
Shot boundary detection is the first essential step in content-based video retrieval.
镜头边界检测是基于内容的视频检索首先要解决的问题。
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。
The segmentation for moving pictures is important in content-based video encoding and video retrieval.
运动图像的分割在基于内容的视频编码及视频检索中占有重要的地位。
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。
Content Based Multimedia retrieval includes the image, audio and video retrieval, among which this paper does the most research on the image retrieval.
基于内容的多媒体检索，包括图像、音频和视频等信息的检索，本文主要是对基于内容的图像检索进行了研究。
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。
On the basis of a existing news video retrieval system, this paper introduces a method for news video indexing by scenes and two ways of content based summary, using caption detection.
在提出一种新闻视频检索系统结构的基础上，介绍了基于标题条检测的新闻场景分段索引方法，并阐述了两种新闻摘要的生成策略。
It can carry out conventional content-based video retrieval, and can also search special video clip in real-time video stream.
该系统能够实现常规的基于内容视频检索的功能，同时还能针对实时视频流数据，实现特定视频段的流式检索。
This paper analyzes the characteristic and advantage of digital video and describes the imminency and importance of content-based video retrieval.
分析了数字视频的特点和优势，阐述了基于内容的视频检索的迫切性和重要性。
This paper introduces the principle and characteristics of multimedia information retrieval and elucidates content-based multimedia retrieval technology of image, video and audio.
本文介绍了多媒体信息检索的原理与特点，着重阐述了基于内容的图像检索、视频检索和音频检索技术。
The so-called "content-based video retrieval" corresponded with the past retrieval based on whole file is on the basis of the video data and correlates with the content.
所谓“基于内容”的检索是与以往基于整个文件的检索相对应，是基于视频数据局部且与内容相关的检索。
The sportscast classification based on content is an important portion of the content-based video information classification and retrieval and main topic in the multimedia information research.
基于内容的体育节目分类是基于内容的视频信息分类检索的一个部分，是多媒体信息处理研究领域中的重要课题。
This paper presents the method of using histogram to implement content-based retrieval in compressed-video.
文章介绍了以直方图为工具实现压缩视频基于内容检索系统的方法。
Based on content retrieval method proposing, Sets the new request to video frequency object processing.
基于内容检索方法的提出，对视频对象的处理提出了新的要求。
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。
Sports event detection is the precondition of sports video retrieval based on content.
体育视频中事件的检测是基于内容的体育视频检索的前提。
When a large number of semantic concept descriptors were build up, semantic concepts based video retrieval would be the effective way to achieve content-oriented video retrieval.
当大量的语义概念检测子建立以后，基于这些语义概念的视频检索将是实现面向语义内容的视频检索的有效途径。
The most commonly used method for content-based video retrieval is query by example, so the video similarity measurement becomes a basal problem.
基于内容的视频检索中的一个最普遍的方法是根据给定例子视频的检索，因此视频相似度度量是基于内容检索中的一个基本问题。
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。
Some of those proposed shot detection methods are realized and applied to content-based video retrieval system; experiments prove that they are effective.
把镜头探测算法实现应用到了基于内容视频检索系统中，做了大量的实验，取得了良好的效果。
The explosive growth in the amount of multimedia information necessitates the development of content-based video indexing and retrieval techniques.
多媒体信息的爆炸式增长要求人们研究开发视频检索技术。
So, the Content Based image and Video retrieval technology comes into being and become an important research area in multimedia retrieval and image processing.
由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。
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。
First, the paper discusses the architecture of content-based retrieval and structure of video data.
本文首先讨论了基于内容检索的体系结构及视频数据的结构；
First, the paper discusses the architecture of content-based retrieval and structure of video data.
本文首先讨论了基于内容检索的体系结构及视频数据的结构；
应用推荐