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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

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Effect of color on pitch discrimination of pure tone

Effect of color on pitch discrimination of pure tone

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Fanrui Lin Zhijun Zhao Mengya Peng Lingyun Xie Communication University of China Beijing China

ISBN: (纸本)9781509037117

Multimedia applications make researchers focus on the simultaneous effect of visual and auditory stimulation. Previous research revealed many facts about visual-auditory interaction. But the relationship between colors and pitch discrimination was hardly discussed. In this paper, the influence of colors on pitch discrimination of pure tones was investigated. Different color stimuli were used in subjective experiments of measuring the accuracy of pitch discrimination, and the data were compared with auditory-only experiments. Experimental results showed that the accuracy of pitch identification with color stimuli increases. Warm colors and cold colors did not have remarkable difference. The accuracy increased most when the color was blue. Further analysis showed that if the discrimination task was more difficult,the influence of colors was correspondingly more observable.

关键词： image color analysis Visualization Psychology Standards Reliability Physiology Brightness

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Two-dimensional analytic signal construction

Two-dimensional analytic signal construction

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Guangtao Ge Yichao Lou Xiuping Wang Lei Xue Dashuang Dai School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China Procurement Division Dalian Shipbuilding Industry CO.Ltd. Dalian China Faculty of Management and Economics Dalian University of Technology Dalian China

ISBN: (纸本)9781509037117

This paper provides a brief overview of the approaches for two-dimensional analytic signal construction. According to the basis of definition for one-dimensional analytic signal, a set of desirable properties is determined as the guideline to measure a new definition for two-dimensional analytic signal. To appreciate this guideline, several important definitions are brought out, such as total analytic signal, partial analytic signal and Hahn's two-dimensional analytic signal, etc. It is a pity that these definitions cannot satisfy the main properties in the guideline. A chance to solve this problem is provided by the quaternion theory. Based on the Quaternionic Fourier Transform (QFT), a novel definition called quaternionic analytic signal is introduced. This novel definition fulfills most properties in the guideline.

关键词： Frequency-domain analysis Quaternions Guidelines Fourier transforms Empirical mode decomposition image coding

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Object proposal method based on integration of geometrical features

Object proposal method based on integration of geometrical f...

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Wanzeng Cai Yiliu Feng Xiaolong Liu Yafei Liu College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781509037117

The goal of region proposal approaches is to decrease the hunting zone for classifiers. An innovative objectness measure that combines several characteristics of proposals in a Bayesian framework is explicitly presented in this paper. We try to use Bayesian to respectively integrate four different features of proposals, and employ the posterior probability of positive samples as new score to guide the search for vehicles. In experiments on the challenging KITTI dataset, the result shows that the combined three features of them can perform better than any others. The final result reaches 98% recall for overlap threshold of 0.5 using 1000 object candidates, which outperforms most existed region proposal algorithms.

关键词： Proposals Bayes methods Cameras image edge detection Feature extraction Detectors Search problems

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Spherical simplex-radial cubature information filter

Spherical simplex-radial cubature information filter

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Chao Yin Yunfei Zheng Shiyuan Wang Yali Feng Wenjie Zhang College of Electronic and Information Engineering Southwest University Chongqing

ISBN: (纸本)9781509037117

In this paper, to utilize the advantage of information form of Kalman filter and superior performance of spherical simplex-radial cubature Kalman filter (SSRCKF) over the cubature Kalman filter, a spherical simplex-radial cubature information filter (SSRCIF) is proposed by embedding the SSRCKF with the extended information filter architecture. Different from the extended Kalman filter and extended information filter, the proposed filter does not require the calculation of Jacobian matrices during the process of state estimation. Results from the simulations of tracking vertically falling body and turning target show that in comparison with the cubature information filter, the proposed SSRCIF bears a higher filtering accuracy in nonlinear systems especially with less prior initial information.

关键词： Kalman filters Jacobian matrices Covariance matrices State estimation Information filters Time measurement Nonlinear systems

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Regularized approximate residual weighted subsampling for visual tracking

Regularized approximate residual weighted subsampling for vi...

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international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Qin Zhang Bo Ma Hongwei Hu Wei Wang Shuai Zhi Beijing Lab of Intelligent Information Technology Shanghai Engineering Center for Microsatellites Shanghai China

ISBN: (纸本)9781509037117

In discriminative tracking algorithms, the accuracy of classifier which relies heavily on the selection of training samples can directly influence the performance of visual tracking. Motivated by above, a tracking algorithm is presented based on regularized approximate residual weighted subsampling in the paper. Through the subsampling procedure, the corrupted samples which exert adverse impacts on the estimated classifier are ensured to be selected infrequently, thus making the classifier trained with the selected sample subset more robust to the noise caused by object appearance variations. Furthermore, an effective model updating strategy is adopted to enhance the flexibility of the tracker to the changes. Compared with some state-of-the-art trackers, our tracking algorithm performs better on a typical benchmark.

关键词： Approximation algorithms Training Computational modeling Target tracking Visualization Linear regression

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Research on Clustering Anomaly of DEMETER Satellite Electric Field Data Based on SOM

Research on Clustering Anomaly of DEMETER Satellite Electric...

引用

international congress on image and signal processing, biomedical engineering and informatics

作者： Yiyao Song Zhong Li Jianqin An Department Disaster Information Engineering Institute of Disaster Prevention

ISBN: (纸本)9781509037117

In order to search of ionospheric anomaly information before the Wenchuan earthquake, this paper selects 10 days DEMETER satellite field data before Wenchuan earthquake as the research object and select mean, variance, skewness and kurtosis four kinds of random signal digital features as the input layer. After a number of samples training, Self-Organizing Map neural network clustering model is established. Calculation results show that, before the Wenchuan earthquake, earthquake signal acquisition of satellite exist some abnormal data exist some abnormal data, which may contact with ionospheric disturbances caused by electromagnetic wave radiation before earthquake.

关键词： ULF electric field signal Self-Organizing Map network clustering DEMETER satellite

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A Novel Model For Stock Market Forecasting

A Novel Model For Stock Market Forecasting

引用

international congress on image and signal processing, biomedical engineering and informatics

作者： Yanlong Li Fang Wang Renbing Sun Rui LI College of Material Science and Engineering Ningbo University of Technology China College of Ocean Hainan University Haikou China

ISBN: (纸本)9781509037117

To promote the forecasting performance of Fuzzy time-series models, based on complex network, a novel fuzzy time series model for stock price forecasting was pressented, this pressented model includes the concept of the complex network and weighted adaptive expectation method. By comparing the fuzzy time series model of based on complex network and weighted adaptive expectation fuzzy time series model, we conclude that the pressented model surpasses weighted adaptive expectation model in accuracy.

关键词： weighted adaptive expectation fuzzy time series complex network

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Impact Analysis on Three-Dimensional Indoor Location Technology

Impact Analysis on Three-Dimensional Indoor Location Technol...

引用

international congress on image and signal processing, biomedical engineering and informatics

作者： Shan Liu Boxin Mao Jianping Chai School of Information Engineering Communication University of China

ISBN: (纸本)9781509037117

This paper proposed an impact analysis framework of three-dimensional indoor location technology based on RSSI. The impact analysis model is set to compare the location precision under different types of noise. The result illustrate that the designed impact analysis tool achieves the perfect three-dimensional indoor location results combined cost, location accuracy with filter. To reduce the impact of the noise, the secondary location which built various propagation models for different types of environments has been used. And the location accuracy is greatly improved.

关键词： location accuracy wireless communication three-dimensional localization

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An improved minimum discontinuity phase unwrapping algorithm with preprocessing

An improved minimum discontinuity phase unwrapping algorithm...

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Heping Zhong Pan Huang Haoran Wu Jinsong Tang Naval Institute of Underwater Acoustic Technology Naval University of Engineering Wuhan China

ISBN: (纸本)9781509037117

Phase unwrapping is a very important process in the digital elevation model(DEM) rebuilding of the imaging area from its interferometric phase data. This paper presents a fast phase unwrapping algorithm based on minimum discontinuity optimization, which greatly enhances the efficiency compared with the original algorithm proposed by Flynn. To accelerate the optimization process, a preprocessing process is used to get an initial wrap count by the least-squares method. For that the unweighted least-squares problem can be solved by FFT-based method, the initial wrapped count can be obtained quickly. Then the middle unwrapped result can be obtained by the initial wrap count, and the circle canceling method is used to remove the remaining discontinuities in the middle unwrapped result. Tests with simulated and real data verify the accuracy and efficiency of the proposed algorithm.

关键词： signal processing algorithms Optimization Approximation algorithms Imaging Acceleration Wrapping Software algorithms

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Infrared image saliency detection based on human vision and information theory

Infrared image saliency detection based on human vision and ...

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Shiyu Qin Lan Wang Hua Cheng Qi Feng Minwen Zhang Chenqiang Gao Key Laboratory of Signal and Information Processing of Chongqing Chongqing University of Posts and Telecommunications Chongqing China China Ship Development and Design Center Wuhan China

ISBN: (纸本)9781509037117

Robust image saliency detection can process the image correctly without any prior knowledge and additional assumptions. Therefore, the saliency detection is still one of the important steps in the field of computer vision including object recognition and tracking, image and video encoding and image segmentation. Although infrared imaging has extensive applications, there is few saliency extraction algorithms based on infrared spectroscopy. We propose an infrared image-based saliency extraction algorithm based on human vision and information theory. The proposed algorithm uses both human visual attention mechanism and theory of information, and it can also produce a saliency image with full resolution. The detection results of the proposed algorithm get a higher accuracy and better recall rate, when tested on one of the largest infrared data sets which is publicly now and a data set created by ourselves.

关键词： Detection algorithms Information theory Visualization image segmentation signal processing algorithms Visual systems Telecommunications

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