baozong yuan

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Steven Pinker

Harvard University

Robert L. Oldershaw

Armando Marques-Guedes

UNL - New University of Lisbon

Fabio Cuzzolin

Oxford Brookes University

Ayşegül Tanrıverdi Kaya

Duzce University / Düzce Üniversitesi

Júnior Martínez Hernández

Choco Paijo

Aalto University

Iman Raeisi

Qazvin Islamic Azad University

Munish Jindal

Punjab Technical University

Musabe Jean Bosco

Chongqing University of Posts and Telecommunications

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Papers by baozong yuan

A new pde based approach for image restoration and enhancement using robust diffusion directions and directional derivatives based diffusivities

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004., 2004

This article proposes a novel, partial derivatives based filter, for oriented patterns filtering ... more This article proposes a novel, partial derivatives based filter, for oriented patterns filtering and enhancement. We propose a filtering and restoration process with a strong anisotropic behaviour. Locally, our filter uses a superposition of one-dimensional diffusion processes; in each pixel the diffusion directions are given by a principal component analysis, on these directions the processes behaviour is modulated by non-linear

$Research paper thumbnail of A hybrid image compression scheme combining block-based fractal coding and DCT$

A hybrid image compression scheme combining block-based fractal coding and DCT

Signal Processing: Image Communication

A novel hybrid image compression scheme based on block-based fractal coding and discrete cosine t... more A novel hybrid image compression scheme based on block-based fractal coding and discrete cosine transform (DCT) is proposed in this paper. An original image is first compressed by DCT domain fractal transform instead of spatial domain fractal transform, then the difference image between the original image and its fractal approximation is quantized and encoded by a Huffman code. The detailed steps to implement the scheme and some experimental results are presented. A comparison with other fractal-based image coding methods is also made in the paper. Experimental results show that when compressing the standard image 'Lena' with this technique, for a compression ratio of 12.4, its PSNR can reach 31.7 dB.

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Text-dependent speaker identification using circular hidden Markov models

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

ABSTRACT A brief overview of hidden Markov models is given. The properties of circular hidden Mar... more ABSTRACT A brief overview of hidden Markov models is given. The properties of circular hidden Markov models and their application to speaker recognition are discussed. For each person, a distinct reference CHMM is produced using the Baum forward-and-backward algorithm. Classification is carried out by selecting the model with the highest probability as the speaker identification system output. Preliminary testing on a set of ten speakers indicates a performance of about 94% speaker recognition accuracy

Seamless messaging in a multimedia network environment

6th International Conference on Signal Processing, 2002., 2000

This paper introduces the first-generation seamless messaging system of the National Research Cou... more

Gabor Feature Based Classification Using 2D Linear Discriminant Analysis for Face Recognition

Lecture Notes in Computer Science, 2005

This paper introduces a novel 2D Gabor-Fisher Classifier for face recognition. The 2D-GFC method ... more This paper introduces a novel 2D Gabor-Fisher Classifier for face recognition. The 2D-GFC method applies the 2D Fisher Linear Discriminant Analysis (2D-LDA) to the gaborfaces which is derived from the Gabor wavelets representation of face images. In our method, Gabor wavelets first derive desirable facial features characterized by spatial frequency, spatial locality, and orientation selectivity to cope with the variations

A novel statistical linear discriminant analysis for image matrix: two-dimensional fisherfaces

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004., 2000

In the pattern recognition field, how to extract the proper features is a very important problem.... more In the pattern recognition field, how to extract the proper features is a very important problem. In recent year, the statistical methods have been researched widely and many methods for feature extraction have been developed, such as, PCA, ICA, nonlinear PCA and etc. But the image always need be transformed to a ID vector in the traditional statistical methods. This

Domain adaptation augmented by state-dependence

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003

In the development of spoken dialog systems, domain adaptation and dialog state-dependent languag... more In the development of spoken dialog systems, domain adaptation and dialog state-dependent language model are usually researched separately. This paper proposes a new approach for domain adaptation augmented by the dialog state-dependence, which means a dialog turn based cache model decaying synchronously with the dialog state change. Through this approach it's more simple and rapid to adapt a Chinese spoken dialog system to a new task. Two different tasks, the train ticket reservation and the park guide are selected respectively as the target task in the experiments. The consistent reductions of perplexity and character error rate are observed during the adaptation.

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A new approach to determine the parameters of dissimilarity function for the evidence-theoretic k-NN classification rule

Proceedings 7th International Conference on Signal Processing 2004 Proceedings Icsp 04 2004, 2004

Performance analysis of output-threshold generalized selection combining in Rayleigh fading

Proceedings of the 9th International Conference on Signal Processing Held in Beijing China 26 29 October 2008, 2015

ABSTRACT

2D-LDA: A statistical linear discriminant analysis for image matrix

Pattern Recognition Letters, Apr 1, 2005

This paper proposes an innovative algorithm named 2D-LDA, which directly extracts the proper feat... more This paper proposes an innovative algorithm named 2D-LDA, which directly extracts the proper features from image matrices based on FisherÕs Linear Discriminant Analysis. We experimentally compare 2D-LDA to other feature extraction methods, such as 2D-PCA, Eigenfaces and Fisherfaces. And 2D-LDA achieves the best performance.

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Human eyes location using wavelet and neural network

Wcc 2000 Icsp 2000 2000 5th International Conference on Signal Processing Proceedings 16th World Computer Congress 2000, Feb 1, 2000

The modeling and realization of natural speech generation system

Interspeech, 1998

Robot vision series: MIT electrical engineering and computer science seriesBerthold Klaus Paul Horn The MIT Press/McGraw-Hill Book Company, New York, 1986, 509 pp., £40.50 ISBN 0-262-08159-8 (MIT Press); 0-07-030349-5 (McGraw-Hill)

Eng Appl Artif Intell, 1989

Overview of DSP Research in China

信号処理, 1998

Local and global interpretation of moving images Research notes in artificial intelligence, by Guy L. Scott. Pitman, London (1988). £15.95, ISBN No: 0-273-08784-3

Eng Appl Artif Intell, 1991

A novel approach to the optimal biorthogonal analysis window sequence of the discrete Gabor expansion

Signal Processing, 1997

AVR Virtual Environment in the New Generation Human Computer Interaction System

Proceedings of the 7th Wseas International Conference on Simulation Modelling and Optimization, 2007

VE (Virtual Environment) provides the three dimensional visual interactive environment for the ne... more VE (Virtual Environment) provides the three dimensional visual interactive environment for the new generation-the fourth generation natural HCI (Human Computer Interaction) system. Modeling the virtual objects is the key to build VE. The paper focuses on the theory, algorithms and core techniques for AVR (From Actual Reality to Virtual Reality) modeling of virtual environment. Based on the integration of computer vision and computer graphics (CV/CG), the objects in AVR VE are virtualized directly from the shape data (2D images and 3D data) acquired of their counterpart objects in real world by using AVR reconstruction approaches, which provides the AVR VE with a higher-level realism, conciseness and preciseness.

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Robust Multiple-View Geometry Estimation Based on GMM

Computing and Informatics, 2002

A new algorithm for static camera foreground segmentation via active coutours and GMM

2008 19th International Conference on Pattern Recognition, Dec 1, 2008

ABSTRACT Foreground segmentation is one of the most challenging problems in computer vision. In t... more ABSTRACT Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combines Gaussian mixture model (GMM) and active contours method, and produces much better results than conventional background subtraction methods. It formulates foreground segmentation as an energy minimization problem and minimizes the energy function using curve evolution method. Because of the integration of GMM background model, shadow elimination term and curve evolution edge stopping term into energy function, it achieves more accurate segmentation than existing method of the same type. Promising results on real images demonstrate the potential of the presented method.

Shape description and recognition using the high order morphological pattern spectrum

Pr, 1995

Shape analysis and recognition is an important issue in modern image processing and computer visi... more Shape analysis and recognition is an important issue in modern image processing and computer vision. It needs to solve three problems: possibility, sensitivity and robustness. To deal with the third one, this paper proposes the high order morphological pattern (HP) spectrum which relies upon the difference between two different sized alternating sequential morphological transformations on the original image. The HP spectrum is characterized by the translating invariance and rotating invariance for the isotropic structuring element. It is also proved that the higher order components of HP spectrum for a noisy image are exactly identical to these for the noise—free image under certain conditions. Also, the results of the experiments conducted, have shown that the HP spectrum shows the strongest robustness in a noisy environment.

A new pde based approach for image restoration and enhancement using robust diffusion directions and directional derivatives based diffusivities

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004., 2004

$Research paper thumbnail of A hybrid image compression scheme combining block-based fractal coding and DCT$

A hybrid image compression scheme combining block-based fractal coding and DCT

Signal Processing: Image Communication

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Text-dependent speaker identification using circular hidden Markov models

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

Seamless messaging in a multimedia network environment

6th International Conference on Signal Processing, 2002., 2000

This paper introduces the first-generation seamless messaging system of the National Research Cou... more

Gabor Feature Based Classification Using 2D Linear Discriminant Analysis for Face Recognition

Lecture Notes in Computer Science, 2005

A novel statistical linear discriminant analysis for image matrix: two-dimensional fisherfaces

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004., 2000

Domain adaptation augmented by state-dependence

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003

Download

A new approach to determine the parameters of dissimilarity function for the evidence-theoretic k-NN classification rule

Proceedings 7th International Conference on Signal Processing 2004 Proceedings Icsp 04 2004, 2004

Performance analysis of output-threshold generalized selection combining in Rayleigh fading

Proceedings of the 9th International Conference on Signal Processing Held in Beijing China 26 29 October 2008, 2015

ABSTRACT

2D-LDA: A statistical linear discriminant analysis for image matrix

Pattern Recognition Letters, Apr 1, 2005

Download

Human eyes location using wavelet and neural network

Wcc 2000 Icsp 2000 2000 5th International Conference on Signal Processing Proceedings 16th World Computer Congress 2000, Feb 1, 2000

The modeling and realization of natural speech generation system

Interspeech, 1998

Eng Appl Artif Intell, 1989

Overview of DSP Research in China

信号処理, 1998

Local and global interpretation of moving images Research notes in artificial intelligence, by Guy L. Scott. Pitman, London (1988). £15.95, ISBN No: 0-273-08784-3

Eng Appl Artif Intell, 1991

A novel approach to the optimal biorthogonal analysis window sequence of the discrete Gabor expansion

Signal Processing, 1997

AVR Virtual Environment in the New Generation Human Computer Interaction System

Proceedings of the 7th Wseas International Conference on Simulation Modelling and Optimization, 2007

Download

Robust Multiple-View Geometry Estimation Based on GMM

Computing and Informatics, 2002

A new algorithm for static camera foreground segmentation via active coutours and GMM

2008 19th International Conference on Pattern Recognition, Dec 1, 2008

Shape description and recognition using the high order morphological pattern spectrum

Pr, 1995

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