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。
Key frame extraction 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。
Scene change detection is one of fundamental processes in video 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。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based 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。
Video object segmentation has important application in content-based video encoding and video retrieval.
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。
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。
This thesis focuses on content-based video analysis and retrieval technology in sports video domain.
进一步说，目前基于内容的视频检索的语义处理理论和技术仍有大量问题有待深入研究。
That is to say, a lot of problems concerning semantic processing theory and technology of CBVR need a further study.
摄像机运动检测有助于实现视频语义内容的理解和分析，是基于内容的视频检索系统中的重要研究内容。
Camera motion detection contribute to understand and analyze video content, camera motion detection has been an important research content in video retrieval system.
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 analyzes the characteristic and advantage of digital video and describes the imminency and importance of content-based video retrieval.
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。
To realize the content-based retrieval and recovery of video, video segmentation into shots and its description are necessary.
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。
Content Based Multimedia retrieval includes the image, audio and video retrieval, among which this paper does the most research on the image retrieval.
视频序列分割是实现视频对象提取、处理和识别的基础，也是基于内容的视频压缩和检索的前提。
The segmentation of video is the basis of the video object extraction, processing and recognition. It is also the premise of the content-based video compression and retrieving.
目前，对于视频的管理和检索主要体现在基于视频文件和其描述方面，而从视频文件内部进行操作，即对基于视频的实际内容进行处理更是用户所关心的。
Today, the management and search based on video files and their describing are done mainly which can't be operated from the intra-content of video, however, this is usually what the users care.
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。
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval.
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 introduces the principle and characteristics of multimedia information retrieval and elucidates content-based multimedia retrieval technology of image, video and audio.
讨论目前国内外基于内容视频检索领域的研究现状和发展趋势，并研究对基于内容的视频检索的关键技术和方法。
Discusses the present domestic and foreign research situation and developing tendency on CBVR, then studies the key technologies and methods on CBVR.
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 proposes a novel cross-media retrieval approach, which can process multimedia data of different modalities and measure cross-media similarity, such as image-audio similarity.
关键帧提取技术是基于内容检索和视频分析的基础。
Key frame extraction is a fundamental processes for content-base video retrieval and video analysis.
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 important to properly organize the unstructured video data for content-based video analysis and retrieval.
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。
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。
So, the Content Based image and Video retrieval technology comes into being and become an important research area in multimedia retrieval and image processing.
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