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检索条件"任意字段=2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007"

共 247 条记录，以下是81-90 订阅

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Fuzzy Motion Interpolation for Mesh-Based Motion Estimation

Fuzzy Motion Interpolation for Mesh-Based Motion Estimation

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Abouzar Eslami Nasser Sadati Mehran Jahed Department of Electrical Engineering Sharif University of Technology Tehran Iran

Mesh-based motion estimation is an important tool for video coding especially with low bit rate. In this paper, a new method for interpolating pixel motion from adjacent mesh nodes with the ability of omitting independent nodes is proposed. By exploiting fuzzy rules to determine the association of pixel and neighboring nodes, the proposed interpolation can detach pixels from some nodes. Consequently, it can deal with those critical patches on objects boundary which their nodes do not belong to one object. Updating the membership functions of each rule with specified strategy makes the interpolation adaptive with non-stationary conditions of image sequences and decreases sensitivity to initial selection of parameters. Experimental results show that the proposed method, in comparison with the conventional methods, increases the motion interpolation accuracy while does not accompanies with massive time cost and complexity

关键词： Interpolation Motion estimation Intelligent robots Laboratories computational intelligence Robot vision systems Machine vision Video coding image sequences PSNR

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Real-Time image-Based Stylistic Rendering Using Graphics Hardware Acceleration

Real-Time Image-Based Stylistic Rendering Using Graphics Har...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Chun-Chung Chiang Yu-Hung Hsueh Damon Shing-Min Liu Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

Silhouette is an important research issue in the field of non-photorealistic rendering (NPR) and it is also a popular drawing feature in illustrations and line-drawing artworks. In this paper, we present a real-time image-based stylized rendering system. First, we project a 3D model to image-space. Then we extract edges in the image-space data. We perform edge-detection algorithms on GPU (graphics processing units) for speedup. GPU is good at floating-points calculating and processing with parallelism. Both features match the property of most image processing tasks. Our system can run at an interactive frame rate when combining our edge-detection algorithms with graphic hardware architecture. We demonstrate that this system performance can reach real-time and render images in good NPR style

关键词： Rendering (computer graphics) Graphics Hardware Acceleration Real time systems signal processing algorithms Parallel processing image processing Layout Pipelines

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An Adaptive Approach to the Segmentation of DCE-MR images of the Breast: Comparison with Classical Thresholding Algorithms

An Adaptive Approach to the Segmentation of DCE-MR Images of...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Fatih Kaleli Nizamettin Aydin Gokhan Ertas H. Ozcan Gulcur Engineering Faculty Bahcesehir University Turkey Biomedical Engineering Institute Bogazici University Turkey

The segmentation of MR images has been playing an important role to improve the detection and diagnosis of breast cancer. Main problem in breast images is the identification of the boundary between chest wall and breast tissue. Minimizing the effects of patient motion is also important step in segmentation process. In image processing, there are many different segmentation algorithms. The most common used method among them is thresholding. However, classic thresholding methods are not effective for axial MR breast images completely because of the fact that the sequence artifacts in axial MR breast images are very high. For this reason, we have proposed a regional thresholding algorithm to segment MR images successfully. The outstanding problem is how to obtain an automatic procedure for detecting boundary between breast tissue and chest wall

关键词： image segmentation signal processing algorithms Breast tissue Pixel computational intelligence Biomedical engineering Cancer detection Breast cancer Histograms Adaptive signal processing

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Audio Environment Classication for Hearing Aids using Artificial Neural Networks with Windowed Input

Audio Environment Classication for Hearing Aids using Artifi...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： C. Freeman R.D. Dony S.M. Areibi School of Engineering University of Guelph Guelph ONT Canada

Excessive background noise is one of the most common complaints from hearing aid users. Background noise classification systems can be used in hearing aids to adjust the response based on the noise environment. This paper examines and compares two promising classification techniques, non-windowed artificial neural networks (ANN) and hidden Markov models (HMM), with an artificial neural network using windowed input. Results obtained show that an ANN with a windowed input gives an accuracy of up to 97.9%, which is more accurate than both the non-windowed ANN and the HMM. Overall, a windowed ANN is able to give excellent accuracy and reliability and is considered to be a good model for background noise classification in hearing aids

关键词： Hearing aids Artificial neural networks Hidden Markov models Background noise Frequency Working environment noise Auditory system Acoustic noise computational intelligence signal processing

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Integrated Hybrid Channel Assignment and Distributed Power Control in Wireless Cellular Networks using Evolution Strategy

Integrated Hybrid Channel Assignment and Distributed Power C...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Tahira Farid Alioune Ngom Arunita Jaekel School of Computer Science University of Windsor Windsor ONT Canada

The channel assignment problem is the problem of determining an optimal allocation of channels to mobile users that minimizes call-blocking and call-dropping probabilities. The power control problem is the problem of determining an optimal allocation of power levels to transmitters such that minimizes power consumption. In wireless mobile networks, channels and transmitter powers are limited resources and an efficient use of both these resources can greatly increase the network's capacity. However, very few papers have attempted to concurrently optimize both resource with significant success. We propose a multi-objective evolution strategy that combines the optimizations of channel assignment and power control. Preliminary results show substantial increase in network's capacity when compared with some current channel assignment method

关键词： Power control Land mobile radio cellular systems Base stations Transmitters Frequency Interference constraints Energy consumption computational intelligence signal processing Computer science

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Video Adaptation based on Affective Content with MPEG-21 DIA Framework

Video Adaptation based on Affective Content with MPEG-21 DIA...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Min Xu Suhuai Luo Jesse Jin School of Design Communication and Information Technology University of Newcastle Callaghan NSW Australia

We present a video adaptation system which takes account of users' preference on video affective content (AC) and limited network resource. AC directly causes user's attention, evaluation and memory, which also provides feasible entry for video highlight. According to user's preference, the proposed adaptation insures the video parcels with AC are allocated as much as possible network resource. The system is implemented with MPEG-21 digital item adaptation (DIA) framework which provides a generic video adaptation solution for all video formats and various usage environments by manipulating on XML files. XML file based adaptation avoids complex video computation. 30 students from various departments were invited to test the system and their responses were positive

关键词： XML Engines Multimedia systems Motion pictures computational intelligence Video signal processing Computer architecture MPEG 7 Standard AC generators Bandwidth

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Intelligent signal processing in an Automated Measurement Data Analysis System

Intelligent Signal Processing in an Automated Measurement Da...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Henrik Isernhagen Helmut Neemann Steffen Kuhn Clemens Guhmann Department of Electronic Measurement and Diagnostic Technology Technische Universität Berlin Berlin Germany IAV GmbH Gifhorn Germany

In the automotive sector a huge amount of measurement data is recorded for validation and safeguarding of vehicle components. These data has to be automatically evaluated for an effective data analysis. Therefore, we need a sophisticated approach, which offers a flexible and powerful parametrisation and different signal processing algorithms for multiple applications. In this paper software and signal evaluation modules for an automated analysis of vehicle measurement data are presented. The data can be evaluated signal or message based with a parametrisation with reusable XML templates. Exemplary, we describe three evaluation modules integrating different signal processing approaches: signal analysis using an analytical signal description in combination with fuzzy logic, an efficient sliding frequency detection and the detection of predefined patterns using a modified dynamic time warping algorithm. Furthermore, an approach for a connected evaluation in consideration of time correlation is presented. Concluding, we discuss a practical application

关键词： signal processing Data analysis signal processing algorithms signal analysis Automotive engineering Vehicle safety Application software Vehicles Software measurement XML

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A New Look at Frequency Resolution in Power Spectral Density Estimation

A New Look at Frequency Resolution in Power Spectral Density...

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ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Sudeshna Pal Soosan Beheshti Electrical and Computer Engineering Department Ryerson University Toronto Canada

The problem of frequency resolution in non-parametric power spectrum density estimation (PSDE) for noisy signals is considered. In this setting, finite length of data as well as the additive noise, both contribute to a decreased frequency resolution. The existing PSDE approaches offer different forms of averaging and windowing of the available data only to improve statistical properties of the estimates, however, at the expense of reducing frequency resolution. In these approaches, the additive noise and the finiteness of data which are the causes of the original loss of the frequency resolution are not treated separately. In this paper, we suggest a new approach which takes advantages of these two different causes of the problem. Therefore, the new nonparametric approach to spectrum estimation tackles the problem of resolution in two steps. First, the method optimally reduces noise interference with the signal via minimum noiseless description length (MNDL). The new power spectrum estimation MNDL-periodogram (PMNDL) of the denoised signal is then computed via conventional indirect periodogram to improve frequency resolution

关键词： Frequency estimation signal resolution Spectral analysis Additive noise signal processing image resolution signal detection Working environment noise computational intelligence Noise reduction

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High Performance Medical image Registration Using a Distributed Blackboard Architecture

High Performance Medical Image Registration Using a Distribu...

引用

ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Roger J. Tait Gerald Schaefer Adrian A. Hopgood Tomoharu Nakashima Nottingham Trent University Nottingham UK School of Engineering and Applied Sciences Aston University Birmingham UK Prefecture University Osaka Japan

A major drawback of medical image registration techniques is the performance bottleneck associated with similarity computation. Such bottlenecks limit registration applications in situations where fast execution times are required. In this paper a novel framework for high performance intensity-based medical image registration is presented. Geometric alignment of both reference and sensed images is achieved through a combination of scaling, translation, and rotation. Crucially, similarity computation is performed intelligently by knowledge sources (KSs) organised in a worker/manager model. The KSs work in parallel and communicate with each other by means of a distributed blackboard architecture. Partitioning of the blackboard is used to balance communication and processing workloads. The registration framework presented demonstrates the flexibility of the coarse-grained parallelism employed and shows how high performance medical image registration can be achieved with non-specialised architectures. Experimental results obtained during testing show that substantial speedups can be achieved

关键词： Biomedical imaging image registration Computer architecture High performance computing Extraterrestrial measurements Message passing computational intelligence signal processing Distributed computing Competitive intelligence

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Advanced motion estimation techniques for VC-1

Advanced motion estimation techniques for VC-1

引用

7th ieee International symposium on signal processing and Information Technology

作者： Tammen, Michael J. El-Sharkawy, Mohamed Sliman, Hisham Rizkalla, Maher Purdue Sch Engn & Technol Indianapolis IN 46202 USA

ISBN: (纸本)9781424418343

The SMPTE Standard 421M, commonly known as VC-1, is a state-of-the-art video compression format that provides highly competitive video quality, from very low through very high bit rates, at a reasonable computational complexity. VC-1 has many differences previous standards such as MPEG-2 and H.264/AVC. In this paper, we implement four different motion estimation techniques. These techniques are well known in the video compression world, but have a different effect on each video codec. The effect in VC-1 is shown as an increase in speed and a gain, on average, in the signal-to-noise ratio.

关键词： image coding motion compensation

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