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 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。
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。
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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