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7th Chinese Conference on Biometric Recognition, CCBR 2012

作者： Zhang, Li-Li Xie, Ying Luo, Bin Ding, Chris Tang, Jin Key Lab of Industrial Image Processing & Analysis of Anhui Province Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230601 China CSE Department University of Texas at Arlington Arlington TX 76019 United States of America

ISBN: (纸本)9783642355059

Many real life applications often bring much high-dimensional and noise-contaminated data from different sources. In this paper, we consider de-noising as well as dimensionality reduction by proposing a novel method named Robust Integrated Locally Linear Embedding. The method combines the two steps in LLE into a single framework and deals with de-noising by solving a l 2,1-l 2 mixed norm based optimization problem. We also derive an efficient algorithm to build the proposed model. Extensive experiments demonstrate that the proposed method is more suitable to exhibit relationship among data points, and has visible improvement in de-noising, embedding and clustering tasks. © 2012 Springer-Verlag.

关键词： Reduction

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A novel panoramic image stitching algorithm based on ORB

A novel panoramic image stitching algorithm based on ORB

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2017 IEEE International Conference on Applied System Innovation, ICASI 2017

作者： Wang, Maosen Niu, Shaozhang Yang, Xuan Beijing Key Lab of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing100876 China Institute of Image Processing and Pattern Recognition North China University of Technology No.5 Jinyuanzhuang Road Shijingshan District Beijing China

ISBN: (纸本)9781509048977

image stitching technique is to integrate multiple images with overlapping regions into a complete image with a wide viewing angle, less distortion, and no obvious suture. image stitching could be used for global positioning and robot autonomous navigation without changing the hardware. SIFT feature and SURF feature are the classical algorithm in the image stitching. But they have the long time-consuming problem. Facing this problem, a novel fast image stitching algorithm based on ORB (Oriented FAST and Rotated BRIEF) features is proposed in this paper. The algorithm firstly selects ORB algorithm which adds the direction information to the FAST detector for image feature extracting and matching. Secondly, RASANC (Random Sample Consensus) algorithm is used to eliminate false matching points. Finally, weighted average method is used to speed up the image fusion. Experimental results show that the stitching effect of the algorithm in this paper is the same as that of SIFT algorithm and SURF algorithm. The two obvious advantages of our algorithm include: (1) stitching speed is much faster than that of Shift and Surf;(2)The algorithm is robust to external parameters of camera. So the proposed algorithm is hopefully applied to some handed electrical devices. © 2017 IEEE.

关键词： image fusion

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An Improved Frame-Layer Bit Allocation Scheme for H.264/AVC Rate Control

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Journal of Shanghai Jiaotong university(Science) 2009年第2期14卷 143-148页

作者：林贵旭郑世宝朱良家 Institute of Image Communication & Information Processing Department of Electronic EngineeringShanghai Jiaotong University Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University Department of Automatic Control National University of Defense Technology

In this paper,we aim at improving the video quality degradation due to high motions or scene changes. An improved frame-layer bit allocation scheme for H.264/AVC rate control is ***,current frame is pre-encoded in 16×16 modes with a fixed quantization parameter(QP).The frame coding complexity is then measured based on the resulting bits and peak signal-to-ratio(PSNR) in the pre-coding ***,a bit budget is calculated for current frame according to its coding complexity and inter-frame PSNR fluctuation,combined with the buffer *** results show that,in comparison with the H.264 adopted rate control scheme, our method is more efficient to suppress the sharp PSNR drops caused by high motions and scene *** visual quality variations in a sequence are also relieved.

关键词： H.264/AVC rate control bit allocation quality degradation

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The complexity of occupational stress electroencephalogram

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Occupational Diseases and Environmental Medicine 2013年第1期1卷 1-3页

作者： Honger Tian Lili Cao Jun Wang Tian Xu Yongguo Zhan Ling Liu Image Processing and Image Communications Key Lab College of Geo & Bio Information Nanjing University of Posts & Tele- comm Nanjing China Key Laboratory of Environment Medicine and Engineering Ministry of Education School of Public Health Southeast University Nanjing China

It is an important method for using electroencephalogram (EEG) to detect and diagnose occupational Stress in clinical practice. In this paper, the complexity analysis method based on Jensen-Shannon Divergence was used to calculate the complexity of occupational stress electroencephalogram from students and *** study found that the complexity of nurses’ EEG was higher than that of students’ EEG. The result can be used to assisted clinical diagnosis.

关键词： Occupational Stress Electroencephalogram Students Nurses Jensen-Shannon Divergence

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Synchronization of Switched Neural Networks with communication Delays via the Event-Triggered Control

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IEEE Transactions on Neural Networks and Learning Systems 2017年第10期28卷 2334-2343页

作者： Wen, Shiping Zeng, Zhigang Chen, Michael Z. Q. Huang, Tingwen Guangdong Province Key Lab of Digital Manufacturing Equipment Key Laboratory of Image Processing Intelligent Control of Education Ministry of China School of Automation Guangdong HUST Industrial Technology Research Institute Huazhong University of Science Technology Wuhan Hubei430074 China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong Texas A M University at Qatar DohaTX5825 United States

This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results. © 2012 IEEE.

关键词： Synchronization

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Millimeter-wave radar image analysis for the traffic sensing 2

Millimeter-wave radar image analysis for the traffic sensing

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2nd Spring International Conference on Defence Technology, ICDT 2020

作者： Wu, H.M. Qi, F. Wang, J.K. Wang, Y. School of Communication Science and Engineering Northeastern University Liaoning Province Shenyang110819 China Shenyang Institute of Automation Chinese Academy of Sciences China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences China Key Lab of Image Understanding and Computer Vision Liaoning Province Shenyang110016 China

Millimeter-wave(MMW) radar sensing is one of the most promising technologies to provide safe navigation for autonomous vehicles due to its expected high-resolution imaging capability However, driverless cars have higher request for different environment and light conditions. Therefore, millimetre-wave imaging is of paramount importance for complex load scenario. In this paper, we have built models of pavement pits and bulges and analysed their with differences ways of antennas. A comparison of the imaging performance of experimental systems operating at a MMW radar and a Lidar is presented with the analysis of features for initial image interpretation Experimental images of the complex road surface are made by a 94GHz frequency-modulated continuous-wave (FMCW) radar technique with 3mm wavelength. © Published under licence by IOP Publishing Ltd.

关键词： Optical radar

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An improved full-reference image quality metric based on structure compensation

An improved full-reference image quality metric based on str...

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Asia-Pacific Signal and Information processing Association Annual Summit and Conference (APSIPA)

作者： Ke Gu Guangtao Zhai Xiaokang Yang Wenjun Zhang Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processingand Transmissions

During the last two decades, image quality assessment has been a major research area, which considerably helps to promote the development of image processing. Following the tremendous success of Structural SIMilarity (SSIM) index in terms of the correlation between the quality predictions and the subjective scores, many improved algorithms have been further exploited, such as Multi-Scale SSIM (MS-SSIM) and Information content Weighted SSIM (IW-SSIM). However, a growing number of researchers have been devoted to the study of the effects of uneven responses to different image distortion categories on prediction accuracy of the quality metrics. Inspired by this, we propose an improved full-reference image quality assessment paradigm based on structure compensation. Experimental results on laboratory for image and Video Engineering (LIVE) database and Tampere image Database 2008 (TID2008) are provided to confirm our introduced approach has superior prediction performance as compared to mainstream image quality metrics. Besides, it is worth emphasizing that our algorithm not introduces other operators but only applies the SSIM function to compensate itself, and furthermore, it also has an effective capability of image distortion classification.

关键词： Nonlinear distortion Measurement image quality Transform coding Indexes Prediction algorithms

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Multilevel DCT-based zerotree image coding

Multilevel DCT-based zerotree image coding

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Kankan Zheng Liang Zhang Rong Xie Institute of Image Communication and Network Engineering & Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiao Tong University Shanghai China

image and video coding is fundamental to data storage and transmission. JPEG 2000 is the latest international image coding standard which exploits wavelet transform for image compression. Zerotree coding structure is an efficient algorithm for coding of wavelet transform coefficients. However, implementation complexity of wavelet transform and long coding process of zerotree structure may limit the application in some cases. In this paper, an idea of multilevel DCT-based zerotree image coding is proposed, in which Wavelet Transform (WT) is replaced by Discrete Cosine Transform (DCT) and DCT coefficients are regrouped into subbands of different frequencies. Furthermore, a new zerotree coding structure is proposed to reduce the complexity of zerotree coding process. A conventional zerotree with a parent-child relation of 2×2 offspring is expanded to the one of 4×4 offspring. Coefficients reorder and inverse DCT are needed when DCT transform size is not a power of 4. This expansion makes each parent node of zerotree coding structure have more child nodes and, therefore, reduce the complexity of encoding process. Simulation results of images with different spatial resolutions are presented to show the advantage of the proposed algorithm. The proposed multi-level DCT-based zerotree image coding algorithm performs similar coding performance as the SPIHT method. The zerotree coding structure with a parent-child relation of 4×4 pixels can significantly reduce the complexity of high-bitrate coding process without sacrificing image subjective quality.

关键词： Discrete cosine transforms image coding Encoding Spatial resolution Wavelet transforms Bit rate

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Job Stress Electroencephalogram Based on Jensen-Shannon Divergence

Job Stress Electroencephalogram Based on Jensen-Shannon Dive...

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2013 International Conference on Biological,Medical and Chemical Engineering(BMCE 2013)

作者： Hong-er TIAN Li-li CAO Yong-guo ZHAN Ling LIU Zi-hai JIAN Huannuer YASHENGBIEKE Aili KAIMIERDING Jian WU Zheng-bao ZHANG Zhi-qiang PAN Xi YANG Jun WANG Key Laboratory of Environment Medicine and Engineering Ministry of EducationSchool of Public HealthSoutheast University Image Processing and Image Communications Key Lab College of Geo & Bio InformationNanjing Univ of Posts & Telecomm

To prevent the occurrence of burnout and karoshi,we try to detect and diagnose job stress in clinical practice using electroencephalogram(EEG).The EEG data were taken from 12 graduate students and 12 nurses from a third-grade class-A hospital,which two groups have the different job *** sampling frequency was 200 Hz,and the complexity of the electroencephalogram and its dynamic range were calculated based on Jensen-Shannon Divergence.T test value of the two groups was equal to 4.414 which confidence probability is 0.001,indicating the Jensen-Shannon Divergence value of students is less than that of ***,groups with different degree of job stress can be non-destructively and more easily diagnosed by the complexity of EEG data compared with blood samples,which is conducive to the evaluation,prevention and intervention of job stress and health promotion.

关键词： Electroencephalogram Complexity Job Stress Jensen-Shannon divergence

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Stereoscopic images quality assessment based on deep learning

Stereoscopic images quality assessment based on deep learnin...

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IEEE Visual communications and image processing (VCIP)

作者： Kai Wang Jun Zhou Ning Liu Xiao Gu Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University

ISBN: (纸本)9781509053179

With the popularity of stereoscopic 3D (S3D) images and videos, many advanced objective quality assessment methods have been proposed to evaluate viewers' Quality of Experience (QoE). Among them, most algorithms take advantages of the disparity maps to extract useful features. On the other hand, deep learning has been one of the hottest research topics during these years, but limited efforts focused on the field in objective quality evaluation of S3D images. In this paper, we propose a S3D image quality assessment (S3D IQA) method based on deep learning. In this method, the Convolutional Restricted Boltzmann Machines (CRBM) combined with Factored Third-Order RBM (FTO-RBM) is considered as learning model to extract feature maps from pre-processed left and right images automatically. Then an improved traversal algorithm based on two pooling strategies is put forward to optimize extracted feature maps, which improves the final quality assessment performance significantly. Experimental results show that our S3D IQA method achieves good performance on 3D databases tested.

关键词： Feature extraction Training Databases Machine learning image quality Three-dimensional displays Data preprocessing

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