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A Region-Based Representation of images in MARS

Journal of VLSI Signal processing Systems for Signal, image, and Video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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A CLASS OF C^1 DISCRETE INTERPOLANTS OVERTETRAHEDRA

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Journal of Computational Mathematics 1997年第2期15卷 149-158页

作者： X.C. Liu(institute of image processing and pattern recognition, Shanghai Jiao Tong University,Shanghai, China) Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

Smooth interpolants defined over tetrahedra are currently being developed for they have many applications in geography, solid modeling, finite element analysis, etc. In this paper, we will characterize a certain class of C-1 discrete tetrahedral interpolants with only C-1 data required. As special cases of the class characterized, we give two C-1 discrete tetrahedral interpolants which have concise expressions.

关键词： A CLASS OF C~1 DISCRETE INTERPOLANTS OVERTETRAHEDRA

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Application of (α,ß)-trimmed mean filtering for removal of additive noise from images

Application of (α,ß)-trimmed mean filtering for removal of...

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Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for image processing

作者： Rytsar, Yuriy B. Ivasenko, Iryna B. Institute of Physics and Mechanics National Academy of Sciences of Ukraine Department of Image Processing and Pattern Recognition Naukova str. 5 Lviv Ukraine

This paper is concerned with algorithms for removal additive noise from images. The proposed (α,ß)-trimmed mean filtering is suitable for application to real images corrupted by Gaussian, uniform and impulsive noise. The developed technique is a generalization of α-trimmed mean filter and have the same basic properties as rank-order filters. The actual performance of proposed technique was compared with that of average, median and midpoint filters and evaluated on noisy images by the error of restoration. The illustrative examples are given.

关键词： Restoration

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Hybrid multilayer perceptron/EBL approach for concept generalization

Hybrid multilayer perceptron/EBL approach for concept genera...

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IEEE International Conference on Intelligent processing Systems, ICIPS

作者： Jie Yang Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

ISBN: (纸本)0780342534

Concept generalization under incomplete domain theory is a very important research aspect in artificial intelligence. Current multilayer perceptron and EBL (explanation based learning) approaches cannot deal with it effectively. We present a new method, hybrid multilayer perceptron/EBL approach for concept generalization, which can deal with concept generalization more effectively.

关键词： Multilayer perceptrons Artificial intelligence Learning

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Use of Hopfield neural network for complex image registration

Use of Hopfield neural network for complex image registratio...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Zhebin Qian Jie-gu Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0818682035

The paper presents an image registration method based on a two-dimensional Hopfield neural network, where the problem of image matching is treated with the minimization of the energy function of the Hopfield neural network. The input data used for registration are the locations of the corner points extracted from the images. In order to improve and expedite the matching process, a fast block-based algorithm is put forward, together with the laboratory results obtained, which show the effectiveness of the algorithm.

关键词： image registration Hopfield neural networks Pixel Intelligent robots image recognition image processing pattern recognition image matching Minimization methods Data mining

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Construction of multimedia server in a distributed multimedia system

Construction of multimedia server in a distributed multimedi...

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Proceedings of the Advances in Parallel and Distributed Computing

作者： Xiaoqiang Fei Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0818678763

The framework of constructing a distributed multimedia system based on the server/client architecture is described in this paper. We focus our attention on the realization of synchronization presentation of different media in a multimedia application, and a set of QoS (qualify of service) parameters is given as a criterion to make a trade-off between overall performance of the system and the synchronization presentation in each multimedia application.

关键词： Multimedia systems Multimedia databases Quality of service Network servers image storage Bandwidth Database systems image processing pattern recognition FDDI

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Scene change based output rate control strategy for constant bit rate video coding

Scene change based output rate control strategy for constant...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Jun Sun Xiangzhong Fang Wemjun Zhang Songyu Yu Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

By studying the MPEG-2 based output rate control strategy in detail, the mechanism of accurate bit-rate control and rational bit allocation is analyzed. To solve the difficulties of bit-rate control from the drastic c... 详细信息

ISBN: (纸本)0780343719

关键词： Layout Bit rate Video coding Quantization image coding Sun image processing pattern recognition image analysis pattern analysis

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Computational complexity reduction in eigenspace approaches 7th

Computational complexity reduction in eigenspace approaches

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7th International Conference on Computer Analysis of images and patterns, CAIP 1997

作者： Leonardis, Aleš Bischof, Horst Vienna University of Technology Institute for Automation Pattern Recognition and Image Processing Group Treitlstraße 3/1832 ViennaA-1040 Austria University of LjubIjana Tržaška 25 LjubljanaSI-1001 Slovenia

ISBN: (纸本)3540634606

Matching of appearance-based object representations using eigenimages is computationally very demanding. Most commonly, to recognize an object in an image, parts of the input image are projected onto the eigenspace and the recovered coefficients indicate the presence or absence of a particular object. In general, the process is sequentially applied to the entire image. In this paper we discuss how to alleviate the problems related to complexity. First, we propose to use a focus-ofattention (FOA) detector which is intended to select candidate areas of interest with minimal computational effort. Only at these areas we then recover the coefficients of eigenimages. Secondly, we propose to employ a multiresolution approach. However, this requires that we depart from the standard way of calculating the coefficients of the eigenimages which relies on the orthogonality property of eigenimages. Instead we calculate them by solving a system of linear equations. We show the results of our approach on real data. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Computers

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A median regularization of iterative image restoration methods

A median regularization of iterative image restoration metho...

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Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for image processing

作者： Grytskiv, Zenon Voloshynovskiy, Sviatoslav Rytsar, Yuriy State University Lvivska Polytechnika Radio Engineering Department S.Bandery Str.12 Lviv 290646 Ukraine Institute of Physics and Mechanics National Academy of Sciences Department of Image Processing and Pattern Recognition Naukova Str.5 Lviv 290601 Ukraine

This paper introduces an approach to the regularization of the iterative image restoration methods based on the median filtering. The comparative analysis of low-pass and median regularization is performed. The median filtering is shown to be more efficient as the regularization in the case of noise with mixed distribution (i.e. Gaussian + impulsive). The nonlinearity of the iterative method is provided by the constrain on nonnegativity that makes possible to solve the problem of band-limited extrapolation. The use of median regularization does not require to choose the regularization parameter in contrast to Tikhonov regularization. However, the window size is to be chosen according to the noise level and could be considered as a parameter for the adaptive regularization to preserve edges according to the masking effect of human vision system.

关键词： Iterative methods

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A Robust, Real-Time Voice Activity Detection Algorithm for Embedded Mobile Devices

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Journal of Sol-Gel Science and Technology 1997年第2期8卷 133-146页

作者： Bian Wu Xiaolin Ren Chongqing Liu Yaxin Zhang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai People's Republic of China Motorola Labs China Research Center W. Shanghai People's Republic of China

When an Automatic Speech recognition (ASR) system is applied in noisy environments, Voice Activity Detection (VAD) is crucial to the performance of the overall system. The employment of the VAD for ASR on embedded mobile systems will minimize physical distractions and make the system convenient to use. Conventional VAD algorithm is of high complexity, which makes it unsuitable for embedded mobile devices; or of low robustness, which holds back its application in mobile noisy environments. In this paper, we propose a robust VAD algorithm specifically designed for ASR on embedded mobile devices. The architecture of the proposed algorithm is based on a two-level decision making strategy, where there is an interaction between a lower features-based level and subsequent decision logic based on a finite-state machine. Many discriminating features are employed in the lower level to improve the robustness of the VAD. The two-level decision strategy allows different features to be used in different states and reduces the cost of the algorithm, which makes the proposed algorithm suitable for embedded mobile devices. The evaluation experiments show the proposed VAD algorithm is robust and contribute to the overall performance gain of the ASR system in various acoustic environments.

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