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Low bit rate image compression with orthogonal projection pursuit neural networks

Low bit rate image compression with orthogonal projection pu...

引用

1997 IEEE International Conference on Neural Networks (ICNN 97)

作者： Safavian, SR Rabiee, HR Fardanesh, M Kashyap, RL LCC Inc. Cellular Institute Arlington VA 222 97 1241 United States Intel Corporation Media and Interconnect Technology Lab Hillsboro OR United States School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 United States

ISBN: (纸本)0780341236

A new multiresolution algorithm for image compression based on projection pursuit neural networks is presented. High quality low bit-rate image compression is achieved first by segmenting an image into regions of different sizes based on perceptual variation in each region and then constructing a distinct code for each block by using the orthogonal projection pursuit neural networks. This algorithm allows one to adaptively construct a better approximation for each block by optimally selecting the basis functions from a universal set. The convergence is guaranteed by orthogonalizing the selected bases at each iteration. The coefficients of the approximations are obtained by back-projection with convex combinations. Our experimental results shows that at rates below 0.5 bits/ pixel, this algorithm shows excellent performance both in terms of PSNR and subjective image quality.

关键词： Image compression

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Bayesian restoration of noisy images with the EM algorithm

Bayesian restoration of noisy images with the EM algorithm

引用

IEEE International Conference on Image Processing

作者： M. Saeed H.R. Rabiee W.C. Karl T.Q. Nguyen Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology USA Media & Interconnect Technology Laboratory Intel Corporation USA Department of Biomedical Engineering Boston University USA Department of Electrical and Computer Engineering Boston University USA Department of Electrical and Computer Engineering University of Wisconsin Madison USA

In this paper, we demonstrate that a window-based Gaussian mixture model can be applied in the development of a robust nonlinear filter for image restoration. Via the EM algorithm, we utilize ML estimation of the spatially-varying model parameters to achieve the desired noise suppression and detail preservation. We demonstrate that this approach is a powerful tool which gives us information about the local statistics of noisy images. We demonstrate that the estimated local statistics can be efficiently utilized for outlier detection and edge detection. The advantage of our algorithm is that it can simultaneously suppress additive Gaussian and impulsive noise, while preserving fine details and edges.

关键词： Bayesian methods Image restoration Image edge detection Statistics Additive noise Noise robustness Nonlinear filters Maximum likelihood estimation Gaussian noise

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Image de-blocking with wavelet-based multiresolution analysis and spatially variant OS filters

Image de-blocking with wavelet-based multiresolution analysi...

引用

IEEE International Conference on Image Processing

作者： H.R. Rabiee R.L. Kashyap Media & Interconnect Technology Lab Intel Corporation Hillsboro OR USA School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

A novel approach for de-blocking of block based image and video compression algorithms is presented. In our algorithm a blocky image is first decomposed into approximation and detail subspaces with a J-level multiresolution analysis (MRA). In the next step, the low-pass approximation image and the high-pass detail images are processed independently with spatially adaptive order statistic (OS) filters. The proposed algorithm can effectively eliminate or reduce the blocking artifacts and is computationally efficient.

关键词： Wavelet analysis Multiresolution analysis Low pass filters Kernel Approximation algorithms Adaptive filters Operating systems Video compression Image analysis Algorithm design and analysis

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Low bit rate image compression with orthogonal projection pursuit neural networks

Low bit rate image compression with orthogonal projection pu...

引用

International Conference on Neural Networks

作者： S.R. Safavian H.R. Rabiee M. Fardanesh R.L. Kashyap Cellular Institute LCC Inc. Arlington VA USA Media & Interconnect Technology Lab Intel Corporation Hillsboro OR USA School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

A new multiresolution algorithm for image compression based on projection pursuit neural networks is presented. High quality low bit-rate image compression is achieved first by segmenting an image into regions of different sizes based on perceptual variation in each region and then constructing a distinct code for each block by using the orthogonal projection pursuit neural networks. This algorithm allows one to adaptively construct a better approximation for each block by optimally selecting the basis functions from a universal set. The convergence is guaranteed by orthogonalizing the selected bases at each iteration. The coefficients of the approximations are obtained by back-projection with convex combinations. Our experimental results shows that at rates below 0.5 bits/pixel, this algorithm shows excellent performance both in terms of peak S/N ratio and subjective image quality.

关键词： Bit rate Image coding Neural networks Image resolution Pursuit algorithms Image segmentation Approximation algorithms Convergence Pixel Image quality

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Exploring instrument constancy through a new method for the design of synthetic instruments 22

Exploring instrument constancy through a new method for the ...

引用

22nd International computer Music Conference, ICMC 1996

作者： Wakefield, Gregory H. Siinoni, Mary Department of Electrical Engineering and Computer Science Center for Performing Arts and Technology The School of Music University of Michigan Ann ArborMI48109 United States

A design interface for efficiently exploring and subsequently refining a synthesized musical instrument is proposed. Results are reported that compare the performance of this design interface with others and it is argued that the proposed technique is superior in several areas including sensitivity and time-to-design. Using this design interface, questions of instrument constancy are explored, i.e., what acoustic features inform the listener that the same instrument is playing but in a different register or performance style. Results for changes in fundamental frequency are presented. © 1996 ICMC. All Rights Reserved.

关键词： Music

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A multi-lingual speech recognition system using a neural network approach

A multi-lingual speech recognition system using a neural net...

引用

International Conference on Neural Networks

作者： O.T.-C. Chen Chih-Yung Chen Hwai-Tsu Chan Fang-Ru Hsu Huang-Lin Yang Youn-Gwo Lee Media Processing Laboratories Departnient of Electrical Engineering National Chung Cheng University Chiayi Taiwan Computer & Conununication Research Laboratories Industrial Technology and Research Institute Taiwan

A learning vector quantization method based on the dynamic time warping scheme is proposed for the speech recognition. The optimized speech database and adequate time-alignment vector matching can be achieved. The recognition accuracy for different users is improved by adapting the speech database using the learning vector quantization method. An user-friendly software system of the proposed method is implemented to demonstrate the recognition of 200 voice commands. Various languages and dialects can be realized in our system with a high recognition accuracy. The evaluation board of speech recognition using an 8051 microprocessor has been designed for the industrial applications. A pipelined programmable micro-architecture of the speech recognition processor is developed for the high-performance and high-speed recognition system.

关键词： Speech recognition Neural networks Vector quantization Databases Laboratories Software systems Microprocessors Application software Artificial neural networks computer industry

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New error probability upper bound on maximum likelihood sequence estimation for intersymbol interference channels 13th

New error probability upper bound on maximum likelihood sequ...

引用

13th International Zurich Seminar on Digital Communications, 1994

作者： Nogami, Hiroshi Stüber, Gordon L. Image & Media System Laboratory Hitachi Ltd. Yokohama244 Japan School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332-0250 United States

ISBN: (纸本)9783540578567

A new upper bound on the error probability for maximum likelihood sequence estimation of digital signaling on intersymbol interference channels with additive white Gaussian noise is presented. Our approach is to exclude some overlapping error events from the union bound. The new upper bound can be efficiently computed by using an error-state diagram and a stack algorithm. An example is presented that compares the new upper bound with previously reported results in the literature. © Springer-Verlag Berlin Heidelberg 1994.

关键词： White noise

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Mid-level vision: new directions in vision and video

Mid-level vision: new directions in vision and video

引用

IEEE International Conference on Image Processing

作者： E.H. Adelson J.Y.A. Wang S.A. Niyogi Department of Brain Cognitive Sciences The MIT Media Laboratory Massachusetts Institute of Technology Cambridge MA USA Department of Electrical Engineering and Computer Science The MIT Media Laboratory The MIT Media Laboratory Massachusetts Institute of Technology Cambridge MA USA

Human vision, machine vision, and image coding, all have to deal with the problem of finding representations that are useful and efficient. The best-known techniques are based on low-level processing, using signal processing concepts such as filters, transforms, and simple non-linearities. Low-level concepts are at the heart of standard vision systems for computing optic flow, texture, etc. Low-level image coding techniques include DCTs, pyramids, wavelets, etc. To advance to a new generation of image coding architectures one must work with new image representations that involve such concepts as surfaces, lighting, transparency, etc. These representations fall in the domain of "mid-level" vision. By representing images with these more sophisticated vocabularies one can increase the flexibility and efficiency of the vision and image coding systems. The authors decompose an image sequence into a set of overlapping layers, rather like the "cels" used by a traditional animator. These layers are ordered in depth, sliding over one another and being combined according to the rules of transparency and occlusion. For some test sequences the authors achieve data compression far better than is possible with standard techniques such as MPEG.< >

关键词： Image coding Machine vision Optical signal processing Optical filters Optical computing Humans Video signal processing Heart computer vision Image motion analysis

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A framework for performance engineering during information system development 4th

引用

4th International Conference on Advanced Information Systems engineering, CAiSE 1992

作者： Opdahl, Andreas L. Sølvberg, Arne The University of Trondheim Norway Department of Informatics Faculty of Nature Sciences College of Arts and Science Norway Information Systems Group Department of Electrical Engineering and Computer Science The Norwegian Institute of Technology Norway

ISBN: (纸本)9783540554813

Software performance engineering aims at predicting and improving the performance of applications during development and in production. This paper presents a framework for performance engineering of information systems with emphasis on parameter estimation support. The need for performance engineering of information systems is discussed. Views of information system and performance modelling are presented. It is shown how application specifcations can be extended with performance annotations. The resulting framework is applied to predict and improve the performance of projected applications during development. Sensitivity analysis is supported to point out performance bottlenecks in the application and suggest which parameters to estimate with most care. Target platform modelling is provided to relieve the information system developer from assessing the performance of the target platform and operating system software. The framework is realised in terms of the PrM language for software specification. Finally, some conclusions are offered. © Springer-Verlag Berlin Heidelberg 1992.

关键词： Information systems

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Advances in Robotics 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Jong-Hwan Kim Shuzhi Sam Ge Prahlad Vadakkepat Abdullah Al Manum Norbert Jesse Sadasivan Puthusserypady K Ulrich Rückert Joaquin Sitte Ulf Witkowski Ryohei Nakatsu Jacky Baltes John Anderson Igor Verner

ISBN: (数字)9783642039836

ISBN: (纸本)9783642039829

th This volume is an edition of the papers selected from the 12 FIRA RoboWorld C- gress, held in Incheon, Korea, August 16–18, 2009. The Federation of International Robosoccer Association (FIRA – www. fira. net) is a non-profit organization, which organizes robotic competitions and meetings around the globe annually. The RoboSoccer competitions started in 1996 and FIRA was - tablished on June 5, 1997. The Robot Soccer competitions are aimed at promoting the spirit of science and technology to the younger generation. The congress is a forum in which to share ideas and future directions of technologies, and to enlarge the human networks in robotics area. The objectives of the FIRA Cup and Congress are to explore the technical dev- opment and achievement in the field of robotics, and provide participants with a robot festival including technical presentations, robot soccer competitions and exhibits - der the theme “Where Theory and Practice Meet. ” th Under the umbrella of the 12 FIRA RoboWorld Congress Incheon 2009, six int- national conferences were held for greater impact and scientific exchange: th • 6 International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS) th • 5 International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE) • International Conference on Social Robotics (ICSR) • International Conference on Advanced Humanoid Robotics Research (ICAHRR) • International Conference on Entertainment Robotics (ICER) • International Robotics Education Forum (IREF) This volume consists of selected quality papers from the six conferences.

关键词： Artificial Intelligence User Interfaces and Human computer Interaction computers and Society computers and Education Personal Computing computer Appl. in Social and Behavioral Sciences

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