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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101-110 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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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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Robust designs for templates of directional extraction cellular neural network with application

Robust designs for templates of directional extraction cellu...

引用

International Conference on computational intelligence and Security

作者： Liu, Jinzhu Min, Lequan Univ Sci & Technol Beijing Sch Informat Engn Beijing 100083 Peoples R China Univ Sci & Technol Beijing Sch Appl Sci & Informat Engn Beijing 100083 Peoples R China

ISBN: (纸本)9780769530734

The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal processing, robotic and biological visions. In this paper, the Selected Objects Extraction (SOE) CNN was generated to Directional Extraction (DE) CNN which enhance the capabilities of CNNs and improve their efficiency. Based on analytical approach, a theorem of designing robust templates for DE CNNs was established, which provides parameter inequalities to determine parameter intervals for implementing the corresponding functions. Several examples are provided to illustrate the effectiveness of the theorem for extracting selected objects directionally in binary images.

关键词： Video signal processing

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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...

引用

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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Evolutionary Algorithms in the Classification of Mammograms

Evolutionary Algorithms in the Classification of Mammograms

引用

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

作者： D. C. Hope E. Munday S. L. Smith Department of Electronics University of York York UK

The application of pattern recognition techniques to radiology has the potential to detect cancer earlier and save lives, and consequently much research has been devoted to this problem. This worked tackled a subset of the problem, investigating a novel method of classifying mammograms using an evolutionary approach known as Cartesian genetic programming (CGP). Microcalcifications, one of two major indicators of cancer on mammograms, were used for the classification. A large software framework was written in order to investigate this, which allows the viewing of images, manual segmentation of lesions and then automatic classification. Two classification approaches were pursued, the first classifying on texture features and the second, a new approach, classifying by using the lesion's raw pixel array. Early results using the system showed some potential. It was found that during training, networks could obtain correct classification rates of between 80 and 100%. The best results were approaching those in the contemporary literature and suggest the technique warrants further investigation

关键词： Evolutionary computation Breast cancer Cancer detection Pattern recognition image segmentation image processing computational intelligence signal processing algorithms Radiology Genetic programming

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Cardinality, fuzziness, variance and skewness of interval Type-2 fuzzy sets

Cardinality, fuzziness, variance and skewness of interval Ty...

引用

ieee symposium on Foundations of computational intelligence

作者： Mendel, Jerry M. Wu, Dongrui Univ So Calif Ming Hsieh Dept Elect Engn Signal & Image Proc Inst Los Angeles CA 90089 USA

ISBN: (纸本)9781424407033

Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (172 IN) because they are all measures of uncertainty, i.e. each of them is an interval, and the length of the interval is an indicator of the uncertainty. The centroid of an IT2 FS has been defined by Karnik and Mendel. In this paper, the other four concepts are defined. All definitions use the Mendel-John Representation Theorem for IT2 FSs Formulas for computing the cardinality, fuzziness, variance and skewness of an IT2 FS are derived. Unlike the formulas for the centroid of an IT2 FS, which must be computed by iterative Karnik-Mendel algorithms, these new formulas have closed-form expressions, so they can be computed very fast. These definitions are useful not only for measuring the uncertainties of an IT2 FS, but also in measuring the similarity between two IT2 FSs.

关键词： Fuzzy logic

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Experience Based Surface Discernment by a Quadruped Robot

Experience Based Surface Discernment by a Quadruped Robot

引用

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

作者： Lars Holmstrom Andrew Toland George Lendaris NW Computational Intelligence Laboratory Portland State University OR USA

The task of autonomous surface discernment by an AIBO robotic dog is addressed. Different surface textures (plywood board, thin foam, short carpet, shag carpet) as well as different inclines (0 and 10 degrees) are considered. Using a genetic algorithm, gaits are designed which allow the robot to traverse each of these surfaces in an (approximately) optimal fashion. Frequency domain analysis of actuator readings from individual leg joints is performed for data collected using each gait on each surface type. It is found that the spectral content of these signals is significantly dependent on the characteristics of both the gait in use and the surface being walked upon. Using tap-delay Adaline neural networks to integrate actuator readings from 15 independent joints into a set of models of different gait/surface experiences, an algorithm is designed which uses these experiences to yield high classification rates across surface transitions and with low latency

关键词： Legged locomotion Mobile robots computational intelligence Intelligent robots Genetic algorithms Algorithm design and analysis Actuators Leg Design engineering Friction

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Fuzzy logic supported coloured image information enhancement

Fuzzy logic supported coloured image information enhancement

引用

8th International symposium of Hungarian Researchers on computational intelligence and Informatics, CINTI 2007

作者： Várkonyi-Kóczy, Annamária R. Rövid, András Dept. of Measurement and Information Systems Integrated Intelligent Systems Japanese-Hungarian Laboratory Budapest University of Technology and Economics Hungary

High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. On the other hand, digital processing can often improve the visual quality of real-world photographs or views. Recently, HDR imaging techniques have come into the focus of research because of their high theoretical and practical importance. In this paper, a new fuzzy supported colour tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of colour images. It results in high quality colour HDR images containing the maximum level of details and colour information.

关键词： Fuzzy logic

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Identification of Dynamic Nonlinear Systems using computational intelligence Techniques

Identification of Dynamic Nonlinear Systems using Computatio...

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

作者： Claudio Turchetti Francesco Gianfelici Dipartimento di Elettronica Intelligenza Artificiale e Telecomunicazioni (DEIT) Università Politecnica delle Marche Ancona Italy

A novel approach based on computational intelligence techniques for the identification of nonlinear dynamic systems is presented in this paper. The technique encompasses both the properties of the Karhunen-Loeve transform in representing stochastic processes and the approximation capabilities of multi-layer neural networks. Experimental results on nonlinear systems governed by difference equations demonstrate the effectiveness of the proposed approach that is based on a real-time learning algorithm. Exhaustive experimentation on specific case studies was performed and some experimental results were compared with other existing techniques such as the Lee-Schetzen method, least mean square (LMS), recursive least square (RLS) and normalized least mean square (NLMS) algorithms. A better identification-accuracy was also achieved, and a reduction of some orders of magnitude in training-times compared with the well-known Lee-Schetzen method was obtained, thus making the proposed methodology one of the current best practices in this field

关键词： Nonlinear systems computational intelligence Least squares approximation Karhunen-Loeve transforms Stochastic processes Multi-layer neural network Difference equations Real time systems Least squares methods Resonance light scattering

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