Content-based Information retrieval in mass network data is a significant problem in content security realm.
面向内容的网络海量信息的处理与检索等应用在安全领域具有非常重要的意义。
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。
Because computer can understand the meaning of metadata carried by RDF, our searching engine can provide information retrieval based on concept or content.
由于计算机可以理解rdf描述和携带的元数据的含义，因此可以做到基于内容的精确检索。
The content-based 3d model retrieval is one of the hot research problems in the multimedia information retrieval.
基于内容的3d模型检索是多媒体信息检索的热点研究问题之一。
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。
Content-based audio music retrieval is always a difficult part of the research of musical information organization.
基于内容的音频音乐检索一直是音乐信息组织研究的难点。
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。
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。
A new indexing method for content-based music information retrieval is presented, and it is implemented on a Query By Humming (QBH) system.
提出一种新型的音乐信息检索索引方法，并将其应用于哼唱检索系统上，获得可喜的成果。
The color spatial distribution density can provide the color spatial distribution information for CBIR(Content Based Image Retrieval).
在基于内容的图像检索中，颜色的空间分布密度能提供颜色在空间的分布信息。
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 many current multimedia database systems, query or retrieval is only based on descriptive KeyWords of media, it ignores another important information resource the content of media.
现有的许多多媒体数据库系统只提供了基于媒体描述关键字的检索和查询，却忽略了另一个重要的信息来源——媒体的内容。
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。
In this paper, it mainly researches on the intention of information retrieval in the web content access and intent of web-based clustering.
本文针对意图信息检索中的网页内容获取和基于意图的网页聚类进行研究。
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。
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。
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