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检索条件"任意字段=4th IASTED International Conference on Signal Processing, Pattern Recognition and Applications"

共 162 条记录，以下是71-80 订阅

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A semi-automatic software tool for batch processing of yeast colony images

A semi-automatic software tool for batch processing of yeast...

引用

8th iasted international conference on signal processing, pattern recognition, and applications, SPPRA 2011

作者： Jan, Schier Kovář, Bohumil Institute of Information Theory and Automation of the ASCR Dept. of Signal Processing Pod vodárenskou věGží 4 Prague Czech Republic

ISBN: (纸本)9780889868656

A software application for batch counting of yeast colonies in images of Petri dishes, based on the fast radial transform by Loy and Zelinsky, is introduced in the paper. the motivation to develop our own tool, instead of using a commercial solution, was mainly the requirement to reuse the imaging equipment already existing in the cooperating genetics laboratory, as well as the possibility to adapt the application to the needs of the laboratory. the basic aim is to process image sets prepared beforehand in the darkroom and to automate the process of counting as much as possible. the tool operates either in a fully automatic mode, or provides an interactive editor for correction of the initial machine counting result. the underlying processing flow and algorithms are reviewed in the paper and the performance of the method is evaluated, using a test set of 245 images. the application is available for download or can be requested from the authors of the paper, in both cases free of charge.

关键词： Image segmentation

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An innovative adaptive streaming system for MPEG-4 scalable to lossless audio

An innovative adaptive streaming system for MPEG-4 scalable ...

引用

8th iasted international conference on signal processing, pattern recognition, and applications, SPPRA 2011

作者： Chen, Jianping Wu, Dajun Bao, Xiaoming Yu, Rongshan Institute for Infocomm Research Fusionopolis Singapore 138632 Singapore

ISBN: (纸本)9780889868656

In this paper, we present an innovative streaming system for MPEG-4 Scalable to Lossless Coding (SLS) audio. In the proposed system, the scalability feature of SLS audio is fully utilized to create streamable MP4/M4A files and build up an adaptive streaming system. In the MP4/M4A file, a streamable dynamic track is generated to host the lossless audio. In the streaming server, the conventional streaming process is extended to deliver data packets adaptively with the knowledge of real-time network bandwidth. the proposed system has been utilized by the music streaming website songsofcampus (http://***. com/). Since the first launch in July 2009, this website has received more than 4 million visits and very positive feedback. the system is believed to be the platform paradigm of the next generation system of streaming high quality music through the Internet.

关键词： Websites

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Image based logo retrieval for mobile applications

Image based logo retrieval for mobile applications

引用

8th iasted international conference on signal processing, pattern recognition, and applications, SPPRA 2011

作者： Sun, Shu-Kuo Chen, Zen Chen, Wen-Chao Tsai, Chi-Hung Department of Computer Science National Chiao Tung Unversity 1001 University Road Hsinchu City 30010 Taiwan Innovative DigiTech-Enabled Applications and Services Institute 8F. No. 133 Minsheng E. Rd. Songshan District Taipei City 105 Taiwan

ISBN: (纸本)9780889868656

A new image based content retrieval system for logo and trademark identification is presented which can be incorporated in mobile services. In contrast to the traditional logo retrieval system, the main challenges include (a) the image segmentation of the target object from a cluttered background, (b) effective region descriptor invariant under the photometric and geometric transformations. therefore, robust object segmentation is required to extract regions of interest from the cluttered background. then a new distinctive region descriptor using the Zernike moment (ZM) phase information is proposed for information retrieval. the proposed method is compared with three major existing methods. the experimental results are presented which indicate that the proposed method has the best performance in terms of the precision and recall criterion.

关键词： Image segmentation

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Multiple sub stream error resilient video coding for audio visual archiving applications

Multiple sub stream error resilient video coding for audio v...

引用

8th iasted international conference on signal processing, pattern recognition, and applications, SPPRA 2011

作者： Weerakkody, Rajitha London W12 7SB United Kingdom

ISBN: (纸本)9780889868656

this paper presents a novel and efficient approach to error resilient video coding, targeted at audio visual archiving applications, where video files need to be kept in digital storage systems for extended periods of time. In the face of the inevitable data corruptions occurring silently in the storage media, the proposed method enables graceful degradation while also minimising the total cost of storage. Rather than keeping the video stream as a single continuous file within the storage system, it is proposed to split it intelligently into multiple sub files, with selective replication, based on a significance index defined for the various components of the encoded bit stream, and the characteristics of the storage system itself. the sub files are stored in different tiers of a multi-tier digital storage system with "graded" protection. A sliding scale is defined to vary the mapping of the significance index to the coding parameters. the parameters could be optimised for the application specific circumstances, including the desired quality and the longevity of the content.

关键词： Digital storage

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Modulation-mode assignment for SVD-assisted downlink multiuser MIMO systems

Modulation-mode assignment for SVD-assisted downlink multius...

引用

8th iasted international conference on signal processing, pattern recognition, and applications, SPPRA 2011

作者： Ahrens, Andreas Ali Abu-Rgheff, Mosa Hochschule Wismar University of Technology Business and Design Philipp-Müller-Straße 14 23966 Wismar Germany University of Plymouth School of Computing and Mathematics Plymouth Drake Circus Devon PL4 8AA United Kingdom

ISBN: (纸本)9780889868656

Multiuser multiple-input multiple-output (MIMO) down-link (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference. Instead of treating all the users jointly as in zero-forcing (ZF) multiuser transmission techniques, the investigated singular value decomposition (SVD) assisted DL multiuser MIMO system takes the individual user's channel characteristics into account. this translates to a choice of modulation constellation and transmitter power and, in our proposed system, to a choice of number of activated user-specific MIMO layers. the performed joint optimization of the number of activated MIMO layers and the number of bits per symbol along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers has to be activated in both frequency selective and frequency non-selective MIMO channels in order to minimize the overall BER under the constraint of a given fixed data throughput.

关键词： Singular value decomposition

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A trinocular census-based stereo vision system for real-time applications

A trinocular census-based stereo vision system for real-time...

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8th iasted international conference on signal processing, pattern recognition, and applications, SPPRA 2011

作者： Hinterhofer, thomas Zinner, Christian AIT Austrian Institute of Technology GmbH Safety and Security Department Safe and Autonomous Systems Donau-City-Strasse 1 1220 Vienna Austria

ISBN: (纸本)9780889868656

this work presents a trinocular stereo vision system for real-time applications. the algorithm uses a sparsed census transform and is capable of processing trinocular configurations with baselines of different length. At first, a camera calibration tool for inline or L-shaped three-camera- configurations is introduced. For calculating the desired depth images, an existing census-based stereo matching system for binocular stereo vision is modified and extended to support the new trinocular camera configurations. Because of the extensive usage of Single Instruction, Multiple Data (SIMD) instruction sets and the support of state-of-the-art multi-core CPUs, dense depth maps can be produced at interactive frame rates, i.e. at least with several fps. A method of fusing the results of two stereo matching processes is developed in order to obtain depth maps, which are more dense and which contain less false positive matches. It was our intention to achieve reproducible data about the quality gain of the extension by one additional camera. We could use the Middlebury stereo vision evaluation for the 3-camera configurations and observed a reduction of false matches by up to 40% compared to the original binocular system. With a resolution of 640×480 and 80 disparities, frame rates of 12fps were achieved on state-of-the-art multi-core CPUs.

关键词： Program processors

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Electromygraphy (EMG) signal based hand gesture recognition using artificial neural network (ANN)

Electromygraphy (EMG) signal based hand gesture recognition ...

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IEEE international conference on Mechatronics

作者： Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman O. Electrical and Computer Engineering Department International Islamic University Malaysia Kuala Lumpur Malaysia

ISBN: (纸本)9781612844350

Electromyography (EMG) signal is a measure of muscles' electrical activity and usually represented as a function of time, defined in terms of amplitude, frequency and phase. this biosignal can be employed in various applications including diagnoses of neuromuscular diseases, controlling assistive devices like prosthetic/orthotic devices, controlling machines, robots, computer etc. EMG signal based reliable and efficient hand gesture identification can help to develop good human computer interface which in turn will increase the quality of life of the disabled or aged people. the purpose of this paper is to describe the process of detecting different predefined hand gestures (left, right, up and down) using artificial neural network (ANN). ANNs are particularly useful for complex pattern recognition and classification tasks. the capability of learning from examples, the ability to reproduce arbitrary non-linear functions of input, and the highly parallel and regular structure of ANNs make them especially suitable for pattern recognition tasks. the EMG pattern signatures are extracted from the signals for each movement and then ANN utilized to classify the EMG signals based on features. A back-propagation (BP) network with Levenberg-Marquardt training algorithm has been used for the detection of gesture. the conventional and most effective time and time-frequency based features (namely MAV, RMS, VAR, SD, ZC, SSC and WL) have been chosen to train the neural network. © 2011 IEEE.

关键词： Neural networks

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Development of automatic recognition software of left ventricle by time series processing echocardiograms and application to disease heart

Development of automatic recognition software of left ventri...

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4th Biomedical Engineering international conference, BMEiCON-2011

作者： Takeshima, Shogo Matsuda, Hideyuki Yoshinaga, Takashi Masuda, Kohji Graduate School of Bio-Applications and Systems Engineering Tokyo University of Agriculture and Technology Japan Institute of Systems Information Technologies and Nanotechnologies Japan

ISBN: (纸本)9781457721908

Many techniques to recognize the shape of the left ventricular cavity have developed to improve the cardiac evaluation, and some of the techniques are applied to a clinical diagnosis now. However, most of these techniques require manually initial settings. therefore, we have developed an automatically recognition algorithm without initial settings. this algorithm automatically detects the contour of left ventricular cavity by considering all of the combinations between motion vectors of the ventricular wall to extract intersection points of vectors. We have applied this algorithm to 10 normal hearts and 60 diseased hearts. As the result, the proposed method correctly recognized 85% of left ventricular cavities throughout all of the recorded frames, which was judged by professional sonographers. Furthermore, this software was applied to 40 normal hearts and 113 disease hearts where automatic calculation of ejection fraction was agreed with the results of conventional method by a sonographer. Finally this software was applied to real-time visualization of the cavity through analog video signal. © 2011 IEEE.

关键词： Application programs

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Proceedings of the 6th iasted international conference on signal processing, pattern recognition and applications, SPPRA 2009

Proceedings of the 6th IASTED International Conference on Si...

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6th iasted international conference on signal processing, pattern recognition and applications, SPPRA 2009

ISBN: (纸本)9780889867888

the proceedings contain 24 papers. the topics discussed include: GCD-based blind deconvolution using PCA-based noise reduction;comparison of data fusion in different color spaces for color iris recognition;development of an electromyographic control system based on pattern recognition for prosthetic hand applications;a wavelet-based conditional replenishment compression system for scalable live video streaming;wavelet-based image registration and alignment for image retrieval using mutual information and fuzzy logic;restoration of authentic features in tracheoesophageal speech by a multi-resolution approach;joint detection and channel estimation for MIMO systems with SC-FDE modulations;implementation of wavenumber algorithm for spaceborn SAR;a design of facial recognition system using neural network based geometrics 3D facial;and selection of the proper compact composite descriptor for improving content based image retrieval.

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Forecasting the U.S. stock market via Levenberg-Marquardt and Haken artificial neural networks using ICA&PCA pre-processing techniques

Forecasting the U.S. stock market via Levenberg-Marquardt an...

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international Workshop on Soft Computing applications and Knowledge Discovery 2011, SCAKD 2011 - In Conjunction with the 4th international conference on pattern recognition and Machine Intelligence, PReMI 2011

作者： Sergey, Golovachev National Research University Higher School of Economics Moscow Department of World Economics and International Affairs Russia

Artificial neural networks (ANN) is an approach to solving different tasks. In this paper we forecast U.S. stock market movements using two types of artificial neural networks: a network based on the Levenberg-Marquardt learning mechanism and a synergetic network which was described by German scientist Herman Haken. the Levenberg-Marquardt ANN is widely used for forecasting financial markets, while the Haken ANN is mostly known for the tasks of image recognition. In this paper we apply the Haken ANN for the prediction of the stock market movements. Furthermore, we introduce a novation concerning preprocessing of the input data in order to enhance the predicting power of the abovementioned networks. For this purpose we use Independent Component Analysis (ICA) and Principal Component Analysis (PCA). We also suggest using ANNs to reveal the "mean reversion" phenomenon in the stock returns. the results of the forecasting are compared with the forecasts of the simple auto-regression model and market index dynamics.

关键词： Principal component analysis

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