检索结果-内蒙古大学图书馆

IEEE International Conference on image processing

作者： R. Kurceren J.W. Modestino Electrical Computer and Systems Engineering Department Center for Image Processing Research Rensselaer Polytechnic Institute Troy NY USA

ISBN: (纸本)0780362977

A joint source-channel coding (JSCC) approach for ATM-based network transport of scalable variable bit rate (VBR) digital video is described. We provide a new methodology for finding the optimum source and channel coding rates, together with the optimum data-partitioning ratio, to maximize the statistical multiplexing gain while maximizing the end-to-end video quality. The results provide a quantitative demonstration of the effectiveness of a scalable delivery approach over the single-layer JSCC.

关键词： Streaming media Forward error correction image coding Channel coding Error correction codes Asynchronous transfer mode Error correction Protection computer networks Systems engineering and theory

来源：评论

学校读者我要写书评

暂无评论

Fingerprint enhancement based on the directional filter bank

Fingerprint enhancement based on the directional filter bank

引用

IEEE International Conference on image processing

作者： S. Park M.J.T. Smith Jun Jae Lee Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA Army Research Laboratory under Cooperative Agreement Computer Engineering Dong Seo University busan South Korea

Fingerprints have been used as a means to identify individuals uniquely for a very long time in various situations. In order to achieve robust performance of an automatic fingerprint identification/verification system, it is essential to be associated with a fingerprint enhancement algorithm in the minutiae extraction stage. We present a novel fingerprint enhancement system based on the directional filter bank. The directional filter bank is a maximally decimated filter bank with perfect reconstruction property that is able to decompose wedge-shape frequency components by using an 1-D filter prototype. By using the newly improved visualizable subbands in addition to the previous features of the directional filter bank, an efficient enhancement can be achieved in terms of both computation and memory saving.

关键词： Fingerprint recognition Filter bank image matching Feature extraction Signal processing image processing Sparks Robustness image reconstruction Frequency

来源：评论

学校读者我要写书评

暂无评论

A joint source-channel coding approach to network transport on digital video

A joint source-channel coding approach to network transport ...

引用

IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： B. Kurceren J.W. Modestino Dept. of Electr. Comput. & Syst. Eng. Rensselaer Polytech. Inst. Troy NY USA Electrical Computer and Systems Engineering Department Center for Image Processing Research Rensselaer Polytechnic Institute Troy NY USA

The use of forward error-control (FEC) coding, possibly in conjunction with passive-error recovery techniques, has emerged as a promising approach for real-time video transport over ATM networks for cell loss recovery and/or bit error correction, such as might be required for wireless links. Although FEC provides cell-loss recovery, through its erasure correcting capabilities, it also introduces transmission overhead which can possibly cause additional cell losses. A joint source-channel coding methodology is described to maximize the number of video sources multiplexed at a given quality of service (QoS), measured in terms of overall reproduced video quality. The transport channel is modeled as a block interference channel (BIC) and the multiplexer as a single server, deterministic service, finite buffer supporting N users. Based upon an information-theoretic characterization of the BIC and large deviation bounds on the buffer overflow probability, we describe a methodology that provides theoretically achievable upper limits on the number of sources multiplexed at a given level of performance. Performance of a specific coding technique using an MPEG-2 source encoder and interlaced non-binary Reed-Solomon (RS) channel codes is illustrated and shown to approach the information-theoretic predictions with increasing levels of complexity.

关键词： Forward error correction Quality of service Error correction Asynchronous transfer mode Error correction codes Propagation losses Interference channels Multiplexing Buffer overflow Reed-Solomon codes

来源：评论

学校读者我要写书评

暂无评论

Undefined character processing system using character structure analysis by mathematical morphology

引用

Systems and computers in Japan 2000年第9期31卷 60-71页

作者： Zhu, Qing Kodate, Akihisa Kim, Woontae Urano, Yoshiyori Tominaga, Hideyoshi Telecom. Adv. Organization of Japan Waseda Research Center Tokyo 169-0051 Japan Global Info. Telecommunication Inst. Waseda University Tokyo 169-0051 Japan Dept. Electronics Info. Commun. E. Waseda University Tokyo 169-8555 Japan Beijing Computer Institute Waseda University Telecom. Adv. Organization of Japan Waseda Research Center Info. Processing Society of Japan School of Science and Engineering Waseda University Hanover University Germany Inst. Image Electronics Engineers J. Gyeonggi University Inst. Image Electronics Engineers J. Korea Inst. Telematics Electronics

In this paper, we propose a character processing system (undefined character processing system) that handles characters for which fonts or character code systems have not been provided on the terminals (undefined characters). The undefined characters include characters historically not installed in the input/output environment, such as ancient characters or characters used by minority groups, and characters not used in a particular language system environment. The proposed system uses morphology to analyze the structures of the target undefined characters, generates codes which describe the characters' shapes based on the analysis results, and reconstructs the characters from these codes. A prototype of this system was constructed. The results of the structural analysis of the undefined characters and their reconstructions verified the effectiveness of the proposed system.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Video image retrieval on the basis of subregional co-occurrence matrix texture features and normalised correlation

Video image retrieval on the basis of subregional co-occurre...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Kyuheon Kim Seyoon Jeong Byung Tae Chun Jae Yeon Lee Younglae Bae Image Processing Department Computer Software Technology Laboratory Electronics and Telecommunications Research Institute Daejeon South Korea

This paper proposes the simple and efficient image retrieval algorithm using subregional texture features. In order to retrieve images in terms of its contents, it is required to obtain a precise segmentation. However, it is very difficult and takes a long computing time. Therefore, this paper proposes a simple segmentation method, which is to divide an image into high and low entropy regions by using picture information measure (PIM). Also, in order to describe texture characteristics of each region, this paper suggests six different texture features produced on the basis of co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of each texture feature values. Finally, this proposed algorithm is applied to various images and produces competitive results.

关键词： image retrieval image segmentation Multimedia databases Information retrieval Content based retrieval Entropy image databases image processing Telecommunication computing Software

来源：评论

学校读者我要写书评

暂无评论

Entropy and color correlation for image indexing

Entropy and color correlation for image indexing

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Se Yoon Jeong Kyuheon Kim Byung Tae Chun Jae Yeon Lee Y.L.J. Bae Department of Image Processing Electronics and Telecommunications Research Institute Computer and Software Technology Laboratory Taejon South Korea

This paper presents a new indexing system, which divides an image into higher and lower entropy regions, and calculates the color correlation features between each type of region. Thus, we can improve the discrimination power of color indexing techniques. The indexing system proposed in this paper has three important properties. The first is an entropy feature. An image is divided by an entropy feature into two regions, lower and higher entropy regions in order to avoid the problems caused by general global features. The second is a color correlation feature. This paper uses 2-dimensional probability distribution functions of an image to obtain color moment features, and thus, obtain more information than using 1-dimensional probability distribution functions (i.e. histogram). The last is the retrieval procedure consisting of two steps: firstly, a simple retrieval algorithm is applied to all the images in a database, and secondly, only the results of the previous retrieval are searched. Thus, it can help in reducing the total retrieval time and improving the retrieval accuracy.

关键词： Entropy Indexing Histograms image retrieval Information retrieval Probability distribution Moment methods image databases Spatial databases image processing

来源：评论

学校读者我要写书评

暂无评论

Efficient video images retrieval by using local co-occurrence matrix texture features and normalised correlation

Efficient video images retrieval by using local co-occurrenc...

引用

IEEE Region 10 International Conference TENCON

Since multimedia data is widely used in many fields, research is needed on how to search that data. As a method of retrieving multimedia data, especially for image data, content based image retrieval (CBIR) systems have obtained lots of interest. In order to develop CBIR systems, many different properties of an image have been considered for methods of retrieving image data such as colour, texture, shape, etc. The paper proposes a simple and efficient image retrieval algorithm, which retrieves images on the basis of subregional texture characteristics. In order to retrieve images in terms of contents, it is in general required to obtain a precise segmentation. However, it is very difficult and takes a lot of computing time for precise segmentation. Therefore, the proposed algorithm subdivides an image in terms of a certain sized windows, and finds out whether an image contains a query pattern on the basis texture features. Also, these texture features are described by only six different texture features produced from a co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of texture feature values. Finally, the proposed algorithm is applied to various images and produces competitive results.

关键词： image retrieval Information retrieval Content based retrieval image segmentation Multimedia databases Multimedia systems Shape image processing Telecommunication computing Software

来源：评论

学校读者我要写书评

暂无评论

An effective method for combining multiple features of image retrieval

An effective method for combining multiple features of image...

引用

IEEE Region 10 International Conference TENCON

作者： Seyoon Jeong Kyuheon Kim Byungtae Chun Jaeyeon Lee Y.J. Bae Department of Image Processing Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Taejon South Korea

We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature.

关键词： image retrieval Pattern recognition Shape Equations Fuzzy neural networks image processing Telecommunication computing Software Laboratories Content based retrieval

来源：评论

学校读者我要写书评

暂无评论

A fuzzy logic method on IC lead-frame surface inspection

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Jimin Li Weon-Geun Oh Chang-Joon Park Hyeon-Jin Kim Department of Computer Science Harbin Institute of Technology China Computer Vision Research Team Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute South Korea

ISBN: (纸本)0780354060

The inspection of lead-frame is important in semiconductor industry. During the production process, the quality control of lead-frame plays an important role. Here we introduce a method for inspection of contamination and plating quality of lead frame. The basic method of segmentation of interested lead surface into five classes is discussed based on the samples supplied from IC manufacturing company. A two-stage inspection method is introduced based on the basic five classes. The discussion of the system realization and experimental results show the idea.

关键词： Fuzzy logic Inspection Production Pattern recognition Photonic integrated circuits Shape image processing Laboratories computer science Lead compounds

来源：评论

学校读者我要写书评

暂无评论

Automatic text extraction in digital videos using FFT and neural network

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Byung Tae Chun Younglae Bae Tai-Yun Kim Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Daejeon South Korea Department of Computer Science and Engineering Korea University Seoul South Korea

ISBN: (纸本)0780354060

Popular methods for extracting a text region in video images are in general based on analysis of a whole image such as merge and split method, and comparison of two frames. Thus, they take long computing time due to the use of a whole image. Therefore, this paper suggests the faster method of extracting a text region without processing a whole image. The proposed method uses line sampling methods, FFT and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 92% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image, and fast skipping of the images that do not contain a text.

关键词： Intelligent networks Videos Neural networks Frequency domain analysis Data mining image analysis Optical character recognition software Text recognition Layout image processing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：