The rapid increase of image resources makes it necessary to develop technology for efficient image indexing and retrieval.
图像资源的迅速增长使我们面临新的挑战，迫使人们对其索引与检索技术进行深入研究。
It still need further development. The remain problems are web PACS with best performance, image indexing, and image compression and decompression on web.
需要更深入探讨的问题是如何建立最优性能的体系结构、如何在网络上进行图像数据的快速压缩处理技术等。
The fast wavelet entropy technique for image indexing to reduce the complexity of the wavelet histogram method is suggested which can improve the retrieval performance.
提出了快速小波熵的图像检索技术以减少小波直方图技术的计算复杂性并提高了检索速度。
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。
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 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 idea is that your code obtains the image descriptors it needs and adds them to the image registry, indexing each one with a key.
您的代码获取它需要的图像描述符，然后将其添加到图像注册表，并使用键为每个图像描述符建立索引。
By indexing the two types of fear reactions in the presence of increased light, the researchers learned that the image-forming pathway of the rods and cones had the modulating effect on fear.
通过增加光线来研究两种类型的恐惧反应，研究人员发现有杆状体和视锥的图像成像通道可以调节恐惧的反应。
This paper proposes an indexing algorithm of clustering which supports QBE image retrieval for large image databases.
本文提出了一种有效的支持海量图像数据库Q BE查询的聚类索引算法。
This is important in image galleries because the search engine needs to be able to associate the image with the profile for proper indexing.
这是在图像画廊重要的，因为搜索引擎需要同适当的索引配置能联想到的图像。
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。
Then feature vectors representing the distribution properties of IFS(Iterative Function System) are constructed to support the indexing of images based on the fractal coded image data.
然后在图象分形码的基础上，利用迭代函数系统分布特性构建的特征量来支持图象检索。
The enhancement of high-dimensional indexing technique is necessary to improve the performance of image database retrieval.
为了提高图像数据库的检索效率，必须提高高维索引的效率。
And a research on the remote sensing image database's special functions such as Georeferencing, Pyramiding, spatial indexing is also made.
并且对遥感影像库所特有的功能：空间参照，分块后空间索引，建影像金字塔等关键技术进行了研究。
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。
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。
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。
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 involved with network application development, digital image processing, indexing system designing, is a Multi-disciplinary crossed research topic and hot spot.
它涉及网络应用程序设计，数字图像处理，索引设计等多种技术，是一项多学科交叉的研究课题，是目前的一个研究热点。
As the text with high-level semantic feature and plays an important role on understanding, indexing and retrieval image content.
由于文字具有高级语义特征，对图片内容的理解、索引、检索具有重要作用，因此，研究图片文字提取具有重要的实际意义。
The SIFT keys derived from an image are used in a nearest-neighbour approach to indexing to identify candidate object models.
从图象获得的过滤钥匙用于对辨认候选人对象模型的标注的一种近邻居方法。
The SIFT keys derived from an image are used in a nearest-neighbour approach to indexing to identify candidate object models.
从图象获得的过滤钥匙用于对辨认候选人对象模型的标注的一种近邻居方法。
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