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International Symposium on Multiple-Valued Logic

作者： R.S. Stankovic M. Stankovic J. Astola K. Egiazarian Department of Computer Science Nis Yugoslavia Int. Center for Signal Processing Tampere University of Technology Tampere Finland

The authors define the Fibonacci decision diagrams (FibDDs) permitting representation of functions defined in a number of points different from N=2/sup n/ by decision diagrams consisting of nodes with two outgoing edges. We show the relationships between the FibDDs and the contracted Fibonacci codes. Then, we define the Spectral Fibonacci DDs (FibSTDDs) in terms of the generalized Fibonacci transforms. This broad family of transforms provides a corresponding family of FibSTDDs. These DDs allow compact representations of functions with simple Fibonacci spectra. Such representations may be useful in various tasks of signal processing, including image processing and systems design, where the generalized Fibonacci transforms have been efficiently used.

关键词： Binary decision diagrams Costs Signal processing Fuzzy logic computer science Image processing Discrete transforms Data structures Decision trees Galois fields

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Moving object segmentation based on human visual sensitivity 1st

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1st IEEE International Workshop on Biologically Motivated computer Vision, BMCV 2000

作者： Yoon, Kuk-Jin Kweon, In-So Kim, Chang-Yeong Seo, Yang-Seok Department of Electrical Engineering and Computer Science KAIST 373-1 Kusong-dong Yusong-ku Taejon305-701 Korea Republic of Signal Processing Laboratory Samsung Advanced Institute of Technology P.O. Box 111 Suwon440-660 Korea Republic of

ISBN: (纸本)3540675604

The edge and motion are the main features that human visual system (HVS) perceives intensively. This paper proposes an algorithm for the segmentation of the moving object with accurate boundary using color and motion focusing on the HVS perception in the general image sequence. The proposed algorithm is composed of three parts: color segmentation, motion analysis, and region refinement and merging part. In the color segmentation phase, K-Means algorithm is used in consideration of the sensitivity of the human color perception to get the boundaries that HVS perceives. The global and local motion estimation are performed in parallel with color analysis. After that, Bayesian clustering using color and motion provides more accurate boundary. In the final stage, regions are merged taking into account their motion. The experimental results of the proposed algorithm show the accurate moving object boundary coinciding with the boundary that HVS perceives. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Color

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Multispectral image colour encoding

Multispectral image colour encoding

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International Conference on Pattern Recognition

作者： P. Zemcik M. Frydrych H. Kalviainen P. Toivanen J. Voracek Department of Computer Science and Engineering Facully of Electical Engneering and Computer Science Technical University of Brno Brno Czech Republic Laboratory of Information Processing Department of Information Technology Lappeenranto University of Technclogy Lappeeranta Finland

ISBN: (纸本)0769507506

Advances in colour image sensors and computer technology have opened up new opportunities for colour-based image analysis by allowing it to use multispectral images - images that have tens or even hundreds of spectral colour channels. As multispectral images usually occupy large amounts of memory, some suitable way is needed to compress such images and to represent them efficiently. Image compression has been one of the mainstream research topics for a long time; however, the research usually focuses on compressing images that are intended to be finally seen by humans. While many traditional methods can also be reused for multispectral images, some features of the multispectral images can be addressed differently than in traditional images. This paper describes a way of how to represent the multispectral colour data as a linear combination of colours contained in the clusters of colours that most frequently occur in an image.

关键词： Multispectral imaging Image coding Pixel Image color analysis Layout computer science Image sensors Laboratories Information processing Information technology

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On-line incremental speaker adaptation with automatic speaker change detection

On-line incremental speaker adaptation with automatic speake...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Zhi-Peng Zhang S. Furui K. Ohtsuki Department of Computer Science Tokyo Institute of Technology Meguro Tokyo Japan Cyber Space Laboratories Media Processing Project NTT Yokosuka Kanagawa Japan

In order to improve the performance of speech recognition systems when speakers change frequently and each of them utters a series of several sentences, a new unsupervised, online and incremental speaker adaptation technique combined with automatic detection of speaker changes is proposed. The speaker change is detected by comparing likelihoods using speaker-independent and speaker-adaptive Gaussian mixture models (GMMs). Both the phone HMM and GMM are adapted by MLLR transformation. In a broadcast news transcription task, this method reduces the word error rate by 10.0%. In comparison with the conventional method that uses HMMs for the speaker change detection, the GMM-based method requires a significantly less number of computations at the cost of only a slightly lower word recognition rate.

关键词： TV broadcasting Loudspeakers Natural languages Speech recognition Hidden Markov models Cepstral analysis Space technology Context modeling Vocabulary computer science

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Implementation of multiple-valued multiplier on GF(3/sup m/) using current mode CMOS

Implementation of multiple-valued multiplier on GF(3/sup m/)...

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International Symposium on Multiple-Valued Logic

作者： Hyeon Kyeong Seong Jai Seok Choi Boo Sik Shin Heung Soo Kim Department of Computer Science and Engineering Sangji University South Korea Department of Mechartronics Institute of Induk Technology Department of Computer Information Processing Ansan Technical College South Korea Departmentof Electronic Engineering Inha University South Korea

The multiplication algorithm of two polynomials on finite fields GF(3/sup m/) is presented. The 3-valued multiplier of the serial-in/parallel-out modular structures on GF(3/sup 3/) to be performed on the presented multiplication algorithm is implemented by current-mode CMOS. The current-mode CMOS 3-valued multiplier is implemented two GF(3) multipliers and two GF(3) adders. Performances of the proposed circuits are evaluated using Pspice simulations with 2.0 /spl mu/m standard CMOS device parameters, 20 /spl mu/A unit current level and 3.3 V V/sub DD/ voltage supply.

关键词： Polynomials Galois fields Adders Performance evaluation Circuit simulation Voltage

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Visualization of biomedical processes: local quantitative physiological functions in living human body

Visualization of biomedical processes: local quantitative ph...

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computer Graphics International

作者： D. Feng W. Cai Biomedical and Multimedia Information Technology Group Basser Department of Computer Science University of Sydney Australia Center for Multimedia Signal Processing Department of Electronic & Information Engineering Hong Kong Polytechnic University Hong Kong China

Functional imaging with dynamic positron emission tomography (PET) has been playing a crucial and expanding role in biomedical research and clinical diagnosis, providing image-wide quantitative and qualitative physiological functions in the human body, and supporting visualization of the distribution of these functions corresponding to anatomical structures. A number of parametric imaging algorithms have been developed. We give a brief study on some existing and our recently, developed techniques for generating parametric images. An integrated system for functional image data processing and visualization, and a Web-based application are presented.

关键词： Humans Positron emission tomography Biomedical imaging Data visualization Magnetic resonance imaging Biological system modeling Sugar Biomedical measurements Clinical diagnosis Anatomical structure

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A Stable Vision System for Moving Vehicles

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IEEE Transactions on Intelligent Transportation Systems 2000年第1期1卷 32-39页

作者： Jin, Jesse S. Zhu, Zhigang Xu, Guangyou Sch. of Comp. Sci. and Engineering University of New South Wales Sydney NSW 2052 Australia Dept. of Comp. Sci. and Technology Tsinghua University Beijing 100084 China Vis. Info. Processing Laboratory Sch. of Comp. Sci. and Engineering University of New South Wales Sydney NSW Australia Computer Science Department University of Massachusetts Amherst MA United States Purdue University West Lafayette IN United States Beckman Institute University of Illinois Urbana-Chamgain IL United States

This paper presents a novel approach to stabilize the output of video camera installed on a moving vehicle in a rugged environment. A 2.5-D interframe motion model is proposed so that the stabilization system can perform in situations where significant depth changes are present and the camera has both rotation and translation. Inertial motion filtering is proposed in order to eliminate the vibration of the video sequences with enhanced perceptual properties. The implementation of this new approach integrates four modules: pyramid-based motion detection, motion identification and 2.5-D motion parameter estimation, inertial motion filtering, and affine-based motion compensation. The stabilization system can smooth unwanted vibrations or shakes of video sequences and achieve real-time speed. We test the system on IBM PC compatible machines and the experimental results show that our algorithm outperforms many algorithms which require parallel pipeline image processing machines.

关键词： Machine vision Vehicles Cameras Filtering Video sequences Motion detection Parameter estimation Motion compensation Real time systems System testing

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A knowledge-based image smoothing technique for dynamic PET studies

A knowledge-based image smoothing technique for dynamic PET ...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Weidong Cai Dagan Feng R. Fulton Biomedical and Multimedia Information Technology BMIT Group Basser Department of Computer Science University of Sydney Australia Center for Multimedia Signal Processing (CMSP) Department of Electronic & Information Eogineering Hong Kong Polytechnic University Hong Kong China Department of PET and Nuclear Medicine Royal Prince Alfred Hospital Sydney Australia

Many techniques have been proposed to reduce image noise in dynamic positron emission tomography (PET) imaging. However, these smoothing methods are usually based on the spatial domain and local statistical properties. Smoothing algorithms specifically designed for dynamic image data have not previously been investigated in detail. The authors present a knowledge-based smoothing technique that aims to diminish the noise and improve the quality of the dynamic images. By taking advantage of domain specific physiological kinetic knowledge, this technique can provide dynamic images with high noise reduction while preserving edges and subtle details.

关键词： Smoothing methods Positron emission tomography Kinetic theory Image reconstruction Biological system modeling Noise reduction Filters Humans Time measurement Pixel

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Cost model and copyright management for 3D digital contents using multilevel complex objects

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Systems and computers in Japan 2000年第12期31卷 73-82页

作者： Kidawara, Yutaka Sugiyama, Yuichi Tanaka, Katsumi Telecom. Adv. Organization of Japan Kobe 650-0046 Japan Div. of Media and Computer Sciences Grad. Sch. of Science and Technology Kobe University Kobe 657-0013 Japan Dept. of Comp. and Syst. Engineering Grad. Sch. of Science and Technology Kobe University Kobe 657-0013 Japan Instrumentation Department School of Engineering Kobe University Kobe Steel Ltd. Telecom. Adv. Organization of Japan Dept. of Comp. and Syst. Engineering Grad. Sch. of Sci. and Engineering Kobe University Information Processing Council Syst. Contr. and Info. Association Eng. and Information Department Kyoto University Education Department Kobe University Engineering School Engineering Department Div. of Media and Computer Sciences Grad. Sch. of Science and Technology Database Systems Research Group Information Processing Council Next Generation Digit. Image C. Res. Distributed Devmt.-type D. Min. of Educ.'s Focal Topic Research Kobe Multimedia Internet Cooperative Information Processing Council Artif. Intelligence Association IEEE Computer Society

The authors discuss multimedia data communications using the Internet from the standpoint of providing services, and propose a cost model based on multilevel complex objects for the purpose of responding to the various needs of users. The proposed cost model creates multiple levels of the service which provide each element of the complex object, and then introduces the concept of `service ranges' that can dynamically vary the service which can be received within the scope of the price paid. Conventional multimedia data can only provide one service. However, the authors' service can be selected dynamically from within a range based on the price paid by the user. In order to evaluate these methods, the authors created a framework which can be applied to 3DCG content using VRML by using Java and OODBMS. In addition, rights such as copyrights that are frequently a part of 3DCG content must be protected. The proposed multilevel complex object can confirm a user's rights by using a built-in user authentication function. Thus, copyright management features that provide services within a service range available to valid users and block out illegal users can be realized.

关键词： Multimedia systems

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Information technology applications in biomedical functional imaging

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IEEE Transactions on Information technology in Biomedicine 1999年第3期3卷 221-230页

作者： Feng, Dagan Biomedical and Multimedia Information Technology Group Department of Computer Science University of Sydney NSW 2006 Australia Center for Multimedia Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong

In parallel with rapid advances in computer technology, biomedical functional imaging is having an ever-increasing impact on healthcare. Functional imaging allows us to see dynamic processes quantitatively in the living human body. However, as we need to deal with four-dimensional time-varying images, space requirements and computational complexity are extremely high. This makes information management, processing, and communication difficult. Using the minimum amount of data to represent the required information, developing fast algorithms to process the data, organizing the data in such a way as to facilitate information management, and extracting the maximum amount of useful information from the recorded data have become important research tasks in biomedical information technology. For the last ten years, the Biomedical and Multimedia Information technology (BMIT) Group and, recently, the Center for Multimedia Signal processing have conducted systematic studies on these topics. Some of the results relating to functional imaging data acquisition, compression, storage, management, processing, modeling, and simulation are briefly reported in this paper.

关键词： Medical imaging

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