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检索条件"机构=Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering"

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Adaptive Steganographic System for Binary images using Variable Block Embedding Rate

Adaptive Steganographic System for Binary Images using Varia...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Sos. S. Agaian Ravindranath C. Cherukuri Mobile and Multimedia Signal processing Laboratory Department of Electrical and Computer Engineering University of Texas San Antonio San Antonio TX USA

Due to the rapid developments in multimedia, the demand for binary media (such as signatures, scanned documents and images) based steganographic system has enhanced. In this paper, we present a new data-hiding system that could hide considerable amount of data into a binary digital media. The system modifies the maximum flippable pixels in each block based on certain statistics constraints and characteristic measure of the block. Thus equalizing, the uneven distribution of the flippable pixels through out the embeddable image blocks. We also discuss various issues surrounding the variable block embedding rate and the solution to those issues to make it feasible. The embedded information can be reconstructed without prior knowledge of the cover. The performance of the proposed embedding system with respect to the security and robustness is also discussed. Comparisons with the commonly used embedding systems are also presented for maximum capacity and visual distortion.

关键词： Adaptive systems Steganography Pixel Data security Mobile computing Digital signal processing Laboratories Electronic mail Mobile communication Data encapsulation

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Analysis of P300 Classifiers in Brain computer Interface Speller

Analysis of P300 Classifiers in Brain Computer Interface Spe...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： H. Mirghasemi R. Fazel-Rezai M. B. Shamsollahi BDP laboratory Department of Electrical Engineering Sharif University of Technology Tehran Iran Brain Image and Signal Processing BISP Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

In this paper, the performance of five classifiers in P300 speller paradigm are compared. Theses classifiers are Linear Support Vector Machine (LSVM), Gaussian Support Vector Machine (GSVM), Neural Network (NN), Fisher Linear Discriminant (FLD), and Kernel Fisher Discriminant (KFD). In classification of P300 waves, there has been a trend to use SVM classifiers. Although they have shown a good performance, in this paper, it is shown that the FLD classifiers outperform the SVM classifiers. FLD classifier uses only ten channels of the recorded electroencephalogram (EEG) signals. This makes them a very good candidate for real-time applications. In addition, FLD approach does not need any optimization similar to other methods. In addition, in this paper, it is shown that the efficiency of using Principal Component Analysis (PCA) for feature reduction results in decreasing the time for the classification and increasing the accuracy

关键词： Brain computer interfaces Electroencephalography Support vector machines Support vector machine classification Principal component analysis Band pass filters Digital filters computer interfaces Cities and towns USA Councils

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Using ontologies and fuzzy relations in multimedia personalization

Using ontologies and fuzzy relations in multimedia personali...

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Phivos Mylonas Manolis Wallace Image Video and Multimedia LaboratorySchool of Electrical Engineering National and Technical University of Athens Greece Department of Computer Sciemce University of Indianapolis USA

In this paper, we extend on previous work in order to address the problem of multimedia personalization at a semantic level. In different previous works, we have developed algorithms to address computationally efficient handling of large but sparse fuzzy relations, and theory to address knowledge representation, thematic categorization and user modeling. In this work we take two further steps: i) we integrate ontologies in our original knowledge modeling approach and ii) we explain how these diverse algorithms and methodologies can be combined in order to approach a greater goal, that of semantic multimedia personalization

关键词： Ontologies Information retrieval Knowledge representation Videoconference Humans Formal specifications OWL Laboratories Solid modeling image processing

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Multi-modal human verification using face and speech

Multi-modal human verification using face and speech

引用

Fourth IEEE International Conference on computer Vision Systems, ICVS'06

作者： Park, Changhan Choi, Taewoong Kim, Youngouk Kim, Soonhyob Namkung, Jaechan Paik, Joonki Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-dong Tongjak-Ku Seoul 156-756 Korea Republic of Multimedia Signal Processing Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Precision Machinery Center Korea Electronics Technology Institute 401-402 B/D 193 Yakdae-dong Wonmi-Gu Puchon Kyunggido 420-140 Korea Republic of

ISBN: (纸本)0769525067

In this paper, we propose a personal verification method using both face and speech to improve the rate of single biometric verification. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamental bottleneck of real-time personal verification. The proposed multimodal biometric method is to improve both verification rate and reliability in real-time by overcoming technical limitations of single biometric verification methods. The proposed method uses principal component analysis (PCA) for face recognition and hidden markov model (HMM) for speech recognition. It also uses fuzzy logic for the final decision of personal verification. Based on experimental results, the proposed system can reduce FAR down to 0.0001%, which provides that the proposed method overcomes the limitation of single biometric system and provides stable personal verification in real-time. © 2006 IEEE.

关键词： Face recognition

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Assessment of Preprocessing on Classifiers Used in the P300 Speller Paradigm

Assessment of Preprocessing on Classifiers Used in the P300 ...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： H. Mirghasemi M. B. Shamsollahi R. Fazel-Rezai BDP laboratory Department of Electrical Engineering Sharif University of Technology Tehran Iran BDP laboratory Department of Electrical Engineering Sharif University of Technology Tehran Iran Department of Electrical and Computer Engineering Brain Image and Signal Processing Laboratory University of Manitoba Winnipeg MAN Canada

Artifact removal is an essential part in electroencephalogram (EEG) recording and the raw EEG signals require preprocessing before feature extraction. In this work, we implemented three filtering methods and demonstrated their effects on the performance of different classifiers. Bandpass digital filtering, median filtering and facet method are three preprocessing approaches investigated in this paper. We used data set lib from the BCI competition 2003 for training and testing phase. Our accuracy varied between 80% and 96%. In our work, we demonstrated that the problems of choosing the classifier and preprocessing methods are not independent of each other. Two of our approaches could achieve the 96% accuracy i.e. 31 of 32 characters were predicted correctly. These two approaches have different classifier and different preprocessing method. It means that the performance of each classifier can be enhanced with a specific preprocessing method. In our approach, we used only three electrodes of 64 applied electrodes. Therefore it can noticeably reduce the time and cost of EEG measurement

关键词： Electroencephalography Band pass filters Filtering Electrodes Testing Noise reduction Feature extraction Principal component analysis Digital filters Cities and towns

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Multi-Modal Human Verification Using Face and Speech

Multi-Modal Human Verification Using Face and Speech

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IEEE International Conference on computer Vision Systems (ICVS)

作者： Changhan Park Joonki Paik Taewoong Choi Soonhyob Kim Youngouk Kim J. Namkung Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Multimedia Signal Processing Laboratory Kwangwoon University Seoul South Korea Precision Machinery Center Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University Seoul South Korea

关键词： Humans Speech Face detection Face recognition Biometrics Principal component analysis Feature extraction Hidden Markov models image edge detection Laboratories

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High SNR flexible top hat monopole probe for 1.5 T MRI

High SNR flexible top hat monopole probe for 1.5 T MRI

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作者： Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran

In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and compared with the conventional monopole probe. The top hat probe is constructed by removing a segment of the shield of a coaxial cable. A flexible thin copper foil in contact with the inner conductor of the cable is added to the end section of the cable. The copper foil acts as an antenna top hat load increasing the uniformity of the current distribution on the probe and establishes a uniform region of SNR distribution around the probe. Improvement of the SNR distribution of the top hat probe relative to the conventional monopole probe is evaluated using quantitative indices. Experimental results show that for the top hat probe, the ratio of the maximum image SNR to its relative standard deviation (SR) is 2.73 times higher than that of a conventional probe. © 2006 IOP Publishing Ltd.

关键词： Medical imaging

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An Over-Complete Independent Component Analysis (ICA) Approach to Magnetic Resonance image Analysis

An Over-Complete Independent Component Analysis (ICA) Approa...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Jing Wang C.-I. Chang Hsiang Ming Chen C.C.-C. Chen Jyh Wen Chai Yen-Chieh Ouyang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan

This paper presents a new application of independent component analysis (ICA) in magnetic resonance (MR) image analysis. One of most successful applications for ICA-based approaches in MR imaging is functional MRI (fMRI) which basically deals with one-dimensional temporal signals. The ICA approach proposed in this paper is rather different and considers a set of MR images acquired by different pulse sequences as a 3-dimensional image cube and performs image analysis rather than signal analysis. One major difference between the fMRI-based ICA approaches and our proposed ICA-based image analysis is that the ICA used in the former is undercomplete as opposed to the latter which uses over-complete ICA. Such a fundamental difference results in completely different applications

关键词： Independent component analysis Magnetic resonance image analysis image sequence analysis Magnetic resonance imaging Signal processing image processing Principal component analysis Pixel Remote sensing

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Robust Segmentation and Volumetric Registration in a Multi-view 3D Freehand Ultrasound Reconstruction System

Robust Segmentation and Volumetric Registration in a Multi-v...

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Asilomar Conference on Signals, Systems & computers

作者： Honggang Yu Marios S. Pattichis M. Beth Goens Department of Electrical and Computer Engineering image and video Processing and Communications Laboratory University of New Mexico Albuquerque NM USA Pediatric Cardiology Clinic of the Children's Hospital Heart Center University of New Mexico Albuquerque NM USA

In this paper, we present a new reconstruction method with volumetric registration and semi-automatic segmentation in a multi-view 3D freehand ultrasound imaging system. The new volumetric registration approach is performed on binarized walls using non-linear least squares. It can provide accurate multi-view reconstructions despite significant rigid target motion between different acoustic window acquisitions. A hybrid adaptive gradient vector flow (GVF) geometric active contour (GAC) model is used for image sequence segmentation. It allows for relatively simple initialization of the deformable model, while avoiding edge leaking at poor edges and small boundary gaps. The algorithms were validated on four ultrasound phantom data sets (eight sequences of a total of 336 images) and two echocardiography data sets (four sequences for a total of 75 images). Quantitative evaluation shows that automatic segmentation is comparable with manual segmentation. Using breath-holding and cardiac gating, volume estimates from multi- view reconstructions of the left-ventricle were found to be in better agreement with clinical estimates than volumes estimated from single view reconstructions.

关键词： Robustness Ultrasonic imaging image segmentation image reconstruction Reconstruction algorithms Acoustic imaging Least squares methods Active contours Solid modeling image sequences

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Rule-based decision-making framework for knowledge-based anatomical landmark localization (K-BALL)

Rule-based decision-making framework for knowledge-based ana...

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IEEE International Symposium on Biomedical Imaging

作者： M.-R. Siadat H. Soltanian-Zadeh K. Elisevich Henry Ford Health System Radiology Image Analysis Laboratory Detroit MI USA Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Neurosurgery Henry Ford Health System Detroit MI USA

K-BALL is a general method for localization of anatomical phenomena of the same origin with natural discrepancies distributed over a reference space, e.g., human brain anatomical structures. In this paper, we focus on information analysis step (2nd step) of K-BALL during which landmarks extracted in its first step are evaluated. We provide a framework in which rules are automatically generated based on estimated and derived models. We show that the rules based on the derived models can improve the overall success rate of K-BALL. Each rule evaluates the extracted points by producing an intermediate confidence factor (ICNF). A total confidence factor is calculated using ICNF's to facilitate the acceptance or rejection of a set of points as landmarks of interest. Using the rules merely based on the estimated models, simulation study produced an overall success rate of 91.8%. Using the rules based on both of the estimated and derived models, this rate increased to 92.5%

关键词： Decision making Hippocampus Information analysis Data mining Humans Radiology image analysis Radio control Process control Control systems

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