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IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION

IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION

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2005 International Conference on Auditory-Visual Speech processing, AVSP 2005

作者： Lucey, Simon Lucey, Patrick Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States Speech Audio Image and Video Research Laboratory Queensland University of Technology GPO Box 2424 Brisbane4001 Australia

Motivated by the success of free-parts based representations in face recognition [1] we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent automatic speech reading. Hitherto, a major problem with canonical area-based approaches in automatic speech reading is the intrinsic lack of training observations due to the visual speech modality’s low sample rate and large variability in appearance. We believe a free-parts representation can overcome many of these limitations due to its natural ability to generalize by producing many observations from a single mouth image, whilst still preserving the ability to discriminate between various visual-speech units. This approach additionally requires a modification to traditional techniques employed for the estimation of hidden Markov Models (HMMs), whose resultant models we currently refer to as free-parts HMMs (FP-HMMs). Results will be presented on the CUAVE audiovisual speech database. © AVSP 2005. All rights reserved.

关键词： Hidden Markov models

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Acousto-optics with MATLAB®

Acousto-optics with MATLAB&reg

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Acousto-optics and Photoacoustics

作者： Poon, Ting-Chung Kim, Taegeun Optical Image Processing Laboratory Bradley Department of Electrical and Computer Engineering Virginia Tech Blacksburg VA 24061 United States Department of Optical Engineering Sejong University 98 Kunja-Dong Kwangjin-Ku Seoul 143-747 Korea Republic of

MATLAB&reg is a widely accepted software tool routinely used in engineering, but not so much in applied optics and especially in acousto-optics. In this talk, we first explore the use of MATLAB&reg to solve so... 详细信息

MATLAB® is a widely accepted software tool routinely used in engineering, but not so much in applied optics and especially in acousto-optics. In this talk, we first explore the use of MATLAB® to solve some well-known examples in acousto-optics such as Bragg diffraction and Raman-Nath diffraction. After establishing the correctness of the MATLAB® approach, we then apply it to investigate image processing using acousto-optics and complete power transfer into the second and third Bragg order.

关键词： computer aided software engineering

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3D ROC analysis for medical imaging diagnosis

3D ROC analysis for medical imaging diagnosis

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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Wang, Su Chang, Chein-I Yang, Sheng-Chih Hsu, Giu-Cheng Hsu, Hsian-He Chung, Pau-Choo Guo, Shu-Mei Lee, San-Kan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 Department of Electrical Engineering National Cheng Kung University Taiwan Department of Radiology Tri-Service General Hospital National Defense Medical Center Taipei 114 Taiwan Department of Computer Science and Information Engineering National Cheng Kung University Taiwan Administrative Office Suao Veterans Hospital Yuan County 270 Taiwan

ISBN: (纸本)0780387406

Receiver operating characteristics (ROC) has been widely used as a performance evaluation tool to measure effectiveness of medical modalities. It is derived from a standard detection theory with false alarm and detection power interpreted as false positive (FP) and true positive (TP) respectively in terms of medical diagnosis. The ROC curve is plotted based on TP versus FP via hard decisions. This paper presents a three dimensional (3D) ROC analysis which extends the traditional two-dimensional (2D) ROC analysis by including a threshold parameter in a third dimension resulting from soft decisions, (SD). As a result, a 3D ROC curve can be plotted based on three parameters, TP, FP and SD. By virtue of such a 3D ROC curve three two-dimensional (2D) ROC curves can be derived, one of which is the traditional 2D ROC curve of TP versus FP with SD reduced to hard decision. In order to illustrate its utility in medical diagnosis, its application to magnetic resonance (MR) image classification is demonstrated. © 2005 IEEE.

关键词： Medical imaging

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Face recognition through mismatch driven representations of the face

Face recognition through mismatch driven representations of ...

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Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance

作者： S. Lucey Tsuhan Chen Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

Performance of face verification systems can be adversely affected by a number of different mismatches (e.g. illumination, expression, alignment, etc.) between gallery and probe images. In this paper, we demonstrate that representations of the face used during the verification process should be driven by their sensitivity to these mismatches. Two representation categories of the face are proposed, parts and reflectance, each motivated by their own properties of invariance and sensitivity to different types of mismatches (i.e. spatial and spectral). We additionally demonstrate that the employment of the sum rule gives approximately equivalent performance to more exotic combination strategies based on support vector machine (SVM) classifiers, without the need for training on a tuning set. Improved performance is demonstrated, with a reduction in false reject rate of over 30% when compared to the single representation algorithm. Experiments were conducted on a subset of the challenging face recognition grand challenge (FRGC) v1.0 dataset.

关键词： Face recognition Lighting Probes Reflectivity Employment Support vector machines Support vector machine classification Multimedia systems Laboratories Surveillance

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SAR image processing algorithms based on the ambiguity function

SAR image processing algorithms based on the ambiguity funct...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： A.B. Ramirez I.J. Rivera D. Rodriguez Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico Mayaguez Puerto Rico

This work focuses on hardware implementations of the ambiguity function defined in terms of signal operators for synthetic aperture radar (SAR) sensor image formation applications. Due to the large quantity of data associated with SAR imaging, basic SAR operations demand high computational cost and are difficult to readily implement on existing commercial digital signal processing (DSP) units. In order to contribute to resolve this problem a search for new efficient algorithm variants in under way compute operations such as discrete Fourier transforms, discrete convolutions, discrete correlations, and Hadamard products of complex signals. These operations are commonly used in the computation of the discrete ambiguity function. Time-frequency tools have been the object of many different studies in SAR image formation operations. The principle behind SAR image formation is recovering a desired reflectivity density function through an inverse convolution process on the raw data generation. It is this particular fact that makes the ambiguity function so important in SAR image formation since it serves to model the impulse response function or point spread function of the SAR system itself. Algorithms for computing the ambiguity designed for this work are being developed in MATLAB and implemented the TMS320C6713 digital signal processor (DSP) unit. The implementation methodology is based on hardware/software algorithm co-design techniques, taking into consideration software and hardware characteristics such as memory cache overflows, twiddle or phase factor pre-computations, extended memory addressing schemes, stride permutation implementations, pipelining schemes, multiply-add DSP architectures, multiple concurrent memory accessing schemes, and overall latency response.

关键词： Image processing Signal processing algorithms Digital signal processing Hardware Convolution Synthetic aperture radar Image sensors Radar polarimetry Computational efficiency Signal resolution

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Complexity Control in Semantic Identification

Complexity Control in Semantic Identification

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Falelakis C. Diou A. Valsamidis A. Delopoulos Multimedia Understanding Group Information Processing Laboratory Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece

This paper proposes a methodology for modeling the process of semantic identification and controlling its complexity and accuracy of the results. Each semantic entity is defined in terms of lower level semantic entities and low level features that can be automatically extracted, while different membership degrees are assigned to each one of the entities participating in a definition, depending on their importance for the identification. By selecting only a subset of the features that are used to define a semantic entity both complexity and accuracy of the results are reduced. It is possible, however, to design the identification using the metrics introduced, so that satisfactory results are obtained, while complexity remains below some required limit

关键词： Encyclopedias Automatic control Brightness Information processing Laboratories Content management Standardization MPEG 7 Standard Data mining Computational efficiency

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A time-frequency signal analysis system for power quality assessment

A time-frequency signal analysis system for power quality as...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： I.J. Rivera A.B. Ramirez D. Rodriguez Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico Mayaguez Puerto Rico

The purpose of this work is to develop a time-frequency signal analysis system to detect and recognize different kinds of power quality events or disturbances. To achieve our goal, design of computational signal processing methods is being addressed developing time-frequency tools based on signal algebra operators. The use of signal algebra operators permits the formulation of time-frequency algorithms in a computational framework setting, allowing the search for efficient hardware implementations. Time-frequency formulations are being implemented for embedded system applications using digital signal processing (DSP) and field programmable gate array (FPGA) units. Voltage disturbances are responsible for many disruptions in industrial, commercial and residential power supply systems, causing time and monetary losses. It is necessary to identify fast methods of determining when these disturbances are occurring in order to make correct power quality decisions. Automated information processing systems are needed to assess existing problems. Although a lot of work has been done on power line disturbance assessment, new techniques are desired to address new challenging power quality issues, specially in the area of physical security. Time-frequency signal analysis is a well known tool used in fields such as speech, sonar, and radar processing and is now finding its being in power quality assessment. A time-frequency representation is a two-dimensional representation that shows how the spectral content of a given signal changes with time. There is a genuine interest in this kind of representations for the field of power quality signal analysis systems since they provide more information than the typical one dimensional analysis. To achieve the goals of this work an environment is being created using MATLAB to simulate power line signal disturbances such as swells, sags, harmonic distortions, and outages. This environment computes desired time-frequency representations of

关键词： Time frequency analysis Signal analysis Power quality Signal processing algorithms Algebra Digital signal processing Field programmable gate arrays Voltage MATLAB Event detection

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A computational signal processing system for correlated digital interferometry

A computational signal processing system for correlated digi...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： J. Villamizar-Morales L.X. Bautista-Rozo D.A. Rodriguez Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico Mayaguez Puerto Rico

This work deals with the development of a computational signal algebra framework for the modeling and simulation of digital image interferometry processing applications, exploiting the rapid prototyping capabilities o... 详细信息

关键词： Digital signal processing Interferometry computer networks Signal processing Algebra Mathematical model Computational modeling Digital images Virtual prototyping MATLAB

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220 fs Er-Yb: Glass laser mode-locked by a broadband low-loss Si/Ge saturable absorber

220 fs Er-Yb: Glass laser mode-locked by a broadband low-los...

引用

Advanced Solid-State Photonics, ASSP 2005

作者： Grawert, F.J. Gopinath, J.T. Ilday, F.O. Shen, H.M. Ippen, E.P. Kärtner, F.X. S. Akiyama Liu, J. Wada, K. Kimerling, L.C. Research Laboratory of Electronics Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 United States Material Processing Center Department of Materials Science and Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 United States

We report a silicon/germanium saturable Bragg reflector, compatible with CMOS processing. Its sub-picosecond recovery time enables a C-band spanning mode-locked Er-Yb:glass laser at 1540 nm, generating 220 fs pulses. ... 详细信息

ISBN: (纸本)1557527814

关键词： Glass

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Dynamic Semantic Identification with Complexity Constraints as a Knapsack Problem

Dynamic Semantic Identification with Complexity Constraints ...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

The process of automatic identification of high level semantic entities (e.g., objects, concepts or events) in multimedia documents requires processing by means of algorithms that are used for feature extraction, i.e. low level information needed for the analysis of these documents at a semantic level. This work copes with the high and often prohibitive computational complexity of this procedure. Emphasis is given to a dynamic scheme that allows for efficient distribution of the available computational resources in application. Scenarios that deal with the identification of multiple high level entities with strict simultaneous restrictions, such as real time applications

关键词： Data mining Feature extraction Algorithm design and analysis Computational efficiency Encyclopedias Information processing Laboratories Information analysis Text analysis Computational complexity

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