Shot detection is the basis of content-based video retrieval.
镜头检测是基于内容的视频检索的重要基础。
Research on Semantic Extraction of Content-based Video Retrieval;
研究语言表达方式对科学概念语义提取的影响。
The disposal part of video image mainly studies content-based video retrieval.
视频图像的处理部分重点研究基于内容的视频检索。
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。
Under these circumstances, we discussed the technique of content-based video retrieval.
鉴此，本文展开了视频内容结构划分、事件提取、匹配等检索技术的讨论。
Extracting high level features from video accurately benefits the content-based video retrieval.
准确提取视频高层语义特征，有助于更好地进行基于内容的视频检索。
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。
The major research of this paper is the key technologies of content-based video retrieval-the shot boundaries detection.
本文主要研究了基于内容的视频检索中的关键技术——镜头边界检测。
At last, the paper summarized the study of technology of content-based video retrieval, discussed the goal of further study.
最后，对本文在视频检索方法应用方面所做的工作进行了总结，并对下一步的研究方向进行了展望。
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。
Since the 1990s, with the fast explosion of multi-media information, Content-Based Video Retrieval has become a research hotspot.
自上世纪九十年代以来，多媒体信息迅速膨胀，基于内容的视频检索成为了研究的热门课题。
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。
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 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。
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。
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。
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 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。
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。
Video clip retrieval plays a critical role in the content-based video retrieval. However, existing clip retrieval methods mostly focused on retrieving similar video clips from pre-segmented clips.
视频片段检索是基于内容的视频检索的主要方式，可是现有的片段检索方法大多只是对预先分割好的片段进行检索。
Video object segmentation has important application in content-based video encoding and video retrieval.
视频对象分割在基于内容的视频编码和视频检索中均有重要的应用。
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 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。
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 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。
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。
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。
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。
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。
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