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

作者： Xiaohuan Li J.R. Jackson A.K. Katsaggelos R.M. Mersereau Center for Image and Signal Processing Georgia Institute of Technology Atlanta GA USA Image and Video Processing Laboratory Northwestern University Evanston IL USA

Block matching has been used for motion estimation and motion compensation in MPEG standards for years. While it has an acceptable performance in describing motion between frames, it requires quite a few bits to represent the motion vectors. In certain circumstances, the use of whole frame affine motion models would perform equally well or even better than block matching in terms of motion accuracy, while it results in the coding of only 6 parameters. In this paper, we modify an MPEG-4 codec by adding: (1) 6 affine model parameters to the frame header; and (2) mode selection among INTRA, SKIP, INTER-16/spl times/16, INTER-8/spl times/8, and GLOBAL-AFFINE modes by Lagrange optimal rate-distortion criteria. Simulation results demonstrate 10-20% decrease in bit-rate, compared to the MMS codec for an average coded P-frame with the same reconstruction PSNR.

关键词： Adaptive coding Motion estimation MPEG standards Codecs MPEG 4 Standard Redundancy Adaptive signal processing Video signal processing Motion compensation Lagrangian functions

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SPDEMO - a novel software tool for teaching multimedia signal processing

SPDEMO - a novel software tool for teaching multimedia signa...

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International Conference on Information technology: Research and Education (ITRE)

作者： Y. Moshe N. Peleg N. Cohen Signal and Image Processing Laboratory Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel

The move from analog to digital media in recent years has given rise to the flourishing of digital signal processing techniques. In addition to the many benefits of this flourishing, the plenitude and sophistication of these techniques has caused learning and teaching the essence of this subject to be a more difficult task. In this paper, a software tool for teaching multimedia signal processing is presented. This software tool is intended for assisting teaching and demonstrating speech and audio signal processing techniques. Using this tool one can select from a variety of techniques and parameters in a straightforward and simple way. The results of this processing can be played and viewed, numerically and graphically, in order to ease the analysis of the data. The purpose of this tool is to enable easy experimentation and demonstration of different algorithms and thus improve the quality of teaching.

关键词： Software tools signal processing Digital signal processing signal processing algorithms Speech processing Computer science education Writing Computer languages image processing Laboratories

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A robust RBF neural net Bayesian estimator for channel equalization

A robust RBF neural net Bayesian estimator for channel equal...

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International Symposium on Communications Control and signal processing (ISCCSP)

作者： D. Khedim A. Benyettou M. Woolfson SIgnal-IMage-PArole (SIMPA) Laboratory Department of Computer Science University of Science and Technology of Oran Oran Algeria Signal processing laboratory Department E.E. Engineering University of Nottingham Nottingham UK

The characteristic (transfer function) of a dispersive M-ary channel equalizer designed through a Bayesian estimator, a performance indicator that is not trivial to obtain for M>2 due to intersymbol interference (ISI), is investigated. A set of curves is obtained and interpreted. Implementation through a radial basis function neural network is considered. It is shown that because network centers endure updating with different rates, the equalizer characteristic errates off the optimum, causing thus the symbol error rate and/or the training time to increase. A solution, based on incorporating an underlying symmetry in the channel response levels into the updating algorithm, brings the characteristic uniformly closer to the optimal one. It is also provided a strategy endowing the network with self-initializing. Simulation results are presented for a channel with sufficient ISI strength.

关键词： Robustness Neural networks Bayesian methods Equalizers Dispersion Intersymbol interference Additive noise Delay estimation Laboratories Error analysis

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A fast VLSI architecture for two-dimensional discrete wavelet transform based on lifting scheme

A fast VLSI architecture for two-dimensional discrete wavele...

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2004 7th International Conference on Solid-State and Integrated Circuits technology Proceedings, ICSICT 2004

作者： Xiong, Chengyi Tian, Jinwen Liu, Jian Institute of Pattern Recognition and Artificial Intelligence Key Laboratory of Eduaction Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China College of Electronic Information Engineering South-Center University for Nationalities Wuhan 430074 China

This paper proposes a novel fast architecture for two-dimensional discrete wavelet transform by using lifting scheme. The parallel and embedded decimation techniques are employed to optimize the architecture, which is mainly composed of two horizontal filter modules and one vertical filter module, working in parallel and pipeline fashion with 100% hardware utilization. The architecture is designed to generate two outputs at one working clock cycle, with every two subbands coefficients alternately. The total time of computing J levels of decomposition for N×N image is approximately 2N2(I-4 J)/3 clock cycles. In comparison with the other devices reported in previous literature, the design has many advantages including lower hardware complexity and area and power efficient. The design is also fast, regular and simple, as well as well suited for VLSI implementation. © 2004 IEEE.

关键词： VLSI circuits

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image corner detection using radon transform

Image corner detection using radon transform

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International Conference on Computational science and its Applications, ICCSA 2004

作者： Park, Seung Jin Ahmad, Muhammad Bilal Seung-Hak, Rhee Han, Seung Jo Park, Jong An Dept. of Biomedical Engineering Chonnam National University Hospital Gwangju Korea Republic of Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of

ISBN: (纸本)3540220607

This paper describes a new corner detection algorithm based on the Radon Transform. The basic idea is to find the straight lines in the images and then search for their intersections, which are the corner points of the objects in the images. The Radon Transform is used for detecting the straight lines and the inverse Radon Transform is used for locating the intersection points among the straight lines, and hence determine the corner points. The algorithm was tested on various test images, and the results are compared with well-known algorithms. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Radon

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Tracking of moving objects using morphological segmentation, statistical moments, and radon transform

Tracking of moving objects using morphological segmentation,...

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International Conference on Computational science and its Applications, ICCSA 2004

作者： Ahmad, Muhammad Bilal Chang, Min Hyuk Park, Seung Jin Park, Jong An Choi, Tae Sun Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Dept. of Biomedical Engineering Chonnam National University Hospital Gwangju Korea Republic of

ISBN: (纸本)3540220607

This paper describes real time object tracking of 3D objects in 2D image sequences. The moving objects are segmented by the method of differential image followed by the process of morphological dilation. The moving objects are recognized and tracked using statistical moments. The straight lines in the moving objects are found with the help of Radon transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence are used to calculate the velocity of the moving objects. The simulation results of the proposed method are promising on the test images. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Radon

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An efficient algorithm and implementation for residue to binary number conversion

An efficient algorithm and implementation for residue to bin...

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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Chengyi Xiong Zhirong Gao Jinwen Tian Key Laboratory of Education Commission for Image Processing and Intelligent Control Institute of Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Wuhan University of Science & Engineering Wuhan China Key Laboratory of Education Commission for Image Processing Huazhong University of Science & Technology China

The residue number system (RNS) has computational advantages in addition and multiplication compared with weighted number systems, such as the binary number system (BNS), since operations on residue digits are performed independently and these processes can be performed in parallel. Thus they are widely used in digital signal processing etc. Since residue to binary conversion is critical and difficult for the practicality of RNS, in this paper, a novel residue to binary (R/B) conversion algorithm for the restricted moduli set (2/sup n/ -1, 2/sup n/, 2n+1), based on exploring the periodicity of modulo (2/sup n/ /spl plusmn/ 1) operations is presented. A new 2n-bit adder based R/B converter is also proposed. The performance comparison results demonstrate that the new converter is faster and requires less area compared with the others reported in the previous literature.

关键词： signal processing algorithms image converters Educational institutions Computer science Concurrent computing Digital signal processing Arithmetic Laboratories image processing Intelligent control

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Isolated word, speaker dependent recognition under the presence noise, based on an audio retrieval algorithm

Isolated word, speaker dependent recognition under the prese...

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Asilomar Conference on signals, Systems & Computers

作者： N. Vasiloglou R.W. Schafer M.C. Hans Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA Mobile & Media Systems Laboratory Hewlett Packard Laboratories Palo Alto CA USA

With rapidly increasing storage and computational capacity, a common PC can store and index hundreds of hours of speech. This suggests that new approaches based on database techniques might be useful in speech recognition and speech indexing. This paper presents a first step in such a direction. The algorithm developed relies on an indexed single-speaker database. The database consists of spoken utterances transcribed into text. The waveforms of these utterances are converted off-line to binary symbols called fingerprints through a nonlinear frequency-domain transform. The fingerprints are associated with the transcribed text. Given the fingerprint of a new waveform, the best word match from the database can be retrieved. A 3255 word database is used as a test bed. All the words from this database are mixed with white noise and time-scale modified to provide test data. The database is queried with the fingerprint of the test words and the best match is retrieved. The results of the experiments conducted are promising, showing a 99.5% recognition rate for a 20 dB signal to noise ratio (SNR).

关键词： Fingerprint recognition Databases Hidden Markov models Testing Information retrieval image storage Speech recognition Indexing signal to noise ratio Frequency

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Multiscale centerline extraction of angiogram vessels using gabor filters

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3314卷 570-575页

作者： Sang, Nong Tang, Qiling Liu, Xiaoxiao Weng, Wenjie Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

In this paper, we propose a new automated approach to extract the centerlines from 2-D angiography. The centerline extraction is the basis of 3-D reconstruction of the blood vessels, so the accurate localization of centerlines counts for much. The characteristics of multiscale Gabor even filter, flexible frequency bands and enhancement effects, are fully utilized to detect centerlines of the blood vessels in various size. © Springer-Verlag 2004.

关键词： Blood vessels

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Blurred image recognition based on complex moment invariants

Blurred image recognition based on complex moment invariants

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IEEE International Conference on image processing

作者： Zhang Tianxu Liu Jin Institute for Pattern Recognition and Artificial Intelligence Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China

ISBN: (纸本)0780385543

An important class of radiometric degradations we are faced with often in practice is image blurring. Special attention is paid to the recognition of the blurred image by moment invariant approach. Some important rules of complex moments for the blurred image are presented. Based on these rules, a useful subset of moment invariants is introduced, that are not affected by the blur, rotation, scale, and translation of the images. The experiments have shown that these invariants can be successfully used in recognition of the blurred image.

关键词： image recognition Layout Convolution Radiometry Character recognition Target recognition Computer vision Biomedical imaging Degradation Cameras

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