Among these techniques, video summary and video information retrieval have been the hotspots in recent years.
在这些技术当中，视频摘要和视频检索又是近几年的热点。
In the field of video summary and video information retrieval, the problem of key frame extraction is of great importance.
在视频摘要和视频检索领域，研究关键帧提取的问题是非常重要的一环。
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。
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 algorithm we presented focuses on mining ample resource information from video itself and fusing them to improve the performance of video retrieval.
算法着眼于视频本身挖掘出充分的资源信息并且将这些信息加以融合来提高视频检索的性能。
Text information retrieval is an important field in content-based retrieval of video.
提取文字信息是基于内容的视频检索中重要内容。
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 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 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。
In this paper, problems of the video information classification and retrieval are discussed, including video structuring, feature abstracting, feature optimizing and feature classifying, etc.
本文主要针对基于内容的视频信息分类检索中的若干问题展开讨论研究，包括视频结构化、特征提取、特征优化以及特征分类等等。
Mass information storage and retrieval has been an important issue of the network video systems based on IPTV.
海量信息存储与检索一直是基于IPTV的网络影视系统的重要问题。
Representative frame extraction for digital video is important for forthcoming multimedia information retrieval.
典型帧提取是多媒体视频检索的一个重要技术分支。
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。
A video content retrieval method based on spatiotemporal change information is presented in this paper.
本文提出一种基于时空变化信息的视频内容检索方法。
A video content retrieval method based on spatiotemporal change information is presented in this paper.
本文提出一种基于时空变化信息的视频内容检索方法。
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