Efficiently accessing such rich and complex 3d data motivated numerous and extensive research work within the area of content-based indexing and retrieval.
如何高效率地访问如此纷繁复杂的三维数据，促进人们展开了广阔的基于内容的三维模型索引和检索的研究工作。
While this enriches the content about individual items for the user, it doesn't improve the search results of our local catalog, with its indexing based exclusively on MARC cataloging data.
它只是为读者加强了每个条目的内容，并没有改进本地联机目录的搜索结果，本地目录的索引完全是基于MARC编目数据。
The researchers will present the work at the International Workshop on Content-Based Multimedia Indexing in Madrid, Spain, next month.
下个月在西班牙的马德里，研究员将在基于内容的多媒体检索国际研讨会上展出他们的成果。
Text extraction in digital video plays important role in content based video indexing.
从数字视频中提取文字对基于内容的视频索引的建立具有重要意义。
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。
Multidimensional indexing technology is the key technology of content-based retrieval in image database.
多维索引技术是基于内容检索的图像数据库的关键技术。
This paper introduced the technology of content based image indexing and retrieval concisely. It propose to increase high level semantic describe of image to approach visual sense of human being.
本文通过对现有基于内容图像标引及检索技术的简要介绍，提出应在现有系统中增加图像的高层语义概念描述，以更接近于人的视觉效果。
The same time, it raise a new structure of system of content based image indexing and retrieval which can adapt oneself for adding successful semantic users did to semantic database.
同时提出一种基于内容的图像标引与检索系统结构，能自适应的在图像语义库中添加较为成功的语义表述。
This paper presented a method for video indexing of content-based.
提出了一种基于内容的视频索引方法。
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。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
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。
The existing indexing technology of databases doesn t adapt to the retrieval of multi-dimensional space, especially the content-based retrieval on large multimedia database.
现有的数据库索引技术，普遍不能适应多维空间属性的搜索，特别是无法对大容量的多媒体数据进行基于内容的检索。
For the above-mentioned new characters of music indexing and searching technologies, a music mood classification searching technology based on content is put forward in this paper.
本文针对上述音乐索引和检索技术中出现的新特点，提出了采用基于内容的音乐情感分类检索技术。
For example, the applications are content-based video data indexing and querying, site monitoring system, infrared targets tracking and recognition system.
例如按内容对视频数据进行检索和查询，静态场景监测系统，红外目标跟踪与识别系统等。
Efficient indexing schemes for high-dimensional data are important for Content-Based Image Retrieval, with theoretical and applicable value as result.
有效的高维索引机制是基于内容的图像检索的关键技术，具有重要的理论意义和应用价值。
Based on dimension reduction, it puts forward a new indexing structure to improve the performance of content-based retrieval of large image databases.
在降维的基础上，建立了一个新的索引机制，并以此加速大规模图像库的基于内容检索的进程。
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。
Automatic linguistic indexing of pictures is an important but highly challenging problem for researchers in content-based image retrieval.
图片自动语义标注是基于内容图像检索中很重要且很有挑战性的工作。
It can be applied to Content-based Image Indexing and Smart Surveillance Systems. It is essential to develop robust and efficient algorithms to detect head and shoulders.
头肩图像检测在智能监视系统和基于内容的图像索引等方面都有广泛的应用，因而研究快速而且准确的头肩图像检测技术具有十分重要的意义。
It can be applied to Content-based Image Indexing and Smart Surveillance Systems. It is essential to develop robust and efficient algorithms to detect head and shoulders.
头肩图像检测在智能监视系统和基于内容的图像索引等方面都有广泛的应用，因而研究快速而且准确的头肩图像检测技术具有十分重要的意义。
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