Image indexing applied to typewriter font identification

A method is described to extract an index from a binary character image for database storage and retrieval. The index is hierarchical in nature, and different parts can retrieve character image clusters of different sizes. A hierarchy of Kohonen neural networks is used to generate the clusters on which the indexing method is based. The application is the identification of the font from a sample of printed characters. This is particularly important for forensic document examiners who may have to match a document of unknown origin with the equipment that may have produced it. A computerised system is expected to considerably reduce the time required for each document search.     

Using signature techniques for information filtering in wireless and mobile environments

This paper discusses the issue of power conservation on mobile clients, e.g., palmtop, in wireless and mobile environments. It suggests that techniques using signatures are suitable for realtime information filtering on mobile clients. Three signature-based approaches, namely simple signature, integrated signature and multi-level signature schemes, are presented. The cost models for the access time and tune-in time of these three approaches are developed. We show that the multi-level signature method is in general better than the other two methods.Recommended by: Daniel Barbara, Ravi Jain and Narayanan Krishnakumar     

Color indexing for efficient image retrieval

Content based image retrieval is an active area of research. Many approaches have been proposed to retrieve images based on matching of some features derived from the image content. Color is an important feature of image content. The problem with many traditional matching-based retrieval methods is that the search time for retrieving similar images for a given query image increases linearly with the size of the image database. We present an efficient color indexing scheme for similarity-based retrieval which has a search time that increases logarithmically with the database size.In our approach, the color features are extracted automatically using a color clustering algorithm. Then the cluster centroids are used as representatives of the images in 3-dimensional color space and are indexed using a spatial indexing method that usesR-tree. The worst case search time complexity of this approach isOn _q log(N^* n_avg)), whereN is the number of images in the database, andn _q andn _avg are the number of colors in the query image and the average number of colors per image in the database respectively. We present the experimental results for the proposed approach on two databases consisting of 337 Trademark images and 200 Flag images.     

Bi4（SiO4）3晶体结构的X射线粉末衍射研究

在Ｘ射线衍射仪上收集了Ｂｉ_４（ＳｉＯ_４）_３的衍射数据；利用Ｒｉｅｔｖｅｌｄ方法对衍射数据进行指标化，Ｆ_（３０）＝１５８．９０；确定了Ｂｉ_４（ＳｉＯ_４）_３的晶体结构参数。结果发现：该结构中硅氧四面体是变形的孤立四面体，其中两个Ｏ－Ｓｉ－Ｏ键角为１０７．１３°，而另两个为１１４．２６°，详细报道了晶体结构，给出了晶体结构图；提出Ｂｉ离子最外层孤对的６ｓ２电子的存在是形成这种变形配位多面体的原因。     

Automatic parsing and indexing of news video

Automatic construction of content-based indices for video source material requires general semantic interpretation of both images and their accompanying sounds; but such a broadly-based semantic analysis is beyond the capabilities of the current technologies of machine vision and audio signal analysis. However, if one can assume a limited and well-demarcated body of domain knowledge for describing the content of a body of video, then it becomes easier to interpret a video source in terms of that domain knowledge. This paper presents our work on using domain knowledge to parse news video programs and to index them on the basis of their visual content. Models based on both the spatial structure of image frames and the temporal structure of the entire program have been developed for news videos, along with algorithms that apply these models by locating and identifying instances of their elements. Experimental results are also discussed in detail to evaluate both the models and the algorithms that use them. Finally, proposals for future work are summarized.     

弧面分度凸轮机构分析及其虚拟样机技术的发展

评述了弧面凸轮机构的现状及目前设计中存在的问题,提出了弧面凸轮机构分析的基本方法,介绍了弧面凸轮机构在自动换刀装置中的应用.并指出虚拟样机技术在弧面凸轮机构设计和研究中的应用及其发展趋势.     

压缩域图像检索技术的研究

从检索和压缩相互结合的角度出发,针对现有压缩标准(如JPEG、MPEG、JPEG2000等),对基于DCT和DWT压缩域的检索技术进行了深入研究,提出了一系列新技术.实验结果表明,这种压缩和检索相互结合的研究思路是高效可行的,为进一步提高多媒体应用系统的整体性能奠定了坚实基础.     

一种简便快速的电子衍射谱分析方法

本文根据特征平行四边形法和N/(1/2)比值法提出了一种简便快速的电子衍射谱分析方法——图表法,由于它以一些简单的操作取代了常用分析法的数据测量和计算过程,因此具有简便、快速、可靠性高等优点。     

差动分度过程中的角度补偿浅析

通过理论以及具体实例的计算，分析了利用分度头进行差动分度的角度补偿原理，并以正反两个方向的角度补偿计算，揭示了差动分度的结果与假设等分分数的无关性。     

多尺度对称变换及其应用于定位人脸特征点

提出了一种在图像的反对称双正交小波分解数据域中,实现多尺度对称变换的方法,并将它应用于脸部图像中主要特征点的定位.这种方法与直接在原始图像数据域中的同类方法相比,能大幅度减少计算量、加快定位速度,并明显提高定位准确度.除此之外,由于它是在小波分解数据域上实现的,这就为在图像数据压缩域中提取人脸图像特征奠定了基础.