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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

作者： keyi Shen Li Song Xiaokang Yang Wenjun Zhang Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University China

Community discovery is one of the most important steps to understand the social networks. We propose a hierarchical diffusion method to detect the community structure. Our algorithm is based on the idea that people in different communities usually share less common friends. We also make use of the fact that people usually make decisions based others'choices, especially their friends'. Our algorithm can distinguish between pseudo-communities and meaningful ones. Tests on both classical and synthetic benchmarks show that our algorithm is comparable to state-of-the-art community detection algorithms in both computational complexity and accuracy measured by the so-called normalized mutual information.

关键词： Communities Partitioning algorithms Social network services Benchmark testing Blogs image edge detection Bridges

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Wavelet permutation entropy analysis of Ventricular Fibrillation and Sudden Cardiac Death ECG signals

Wavelet permutation entropy analysis of Ventricular Fibrilla...

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2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)

作者： Lei Yang Fengzhen Hou Jun Wang Image Processing and Image Communications Key Lab. Nanjing Univ.of Posts & Telecomm School of Science China Pharmaceutical University

In this paper,we applied wavelet permutation entropy to analyze the Ventricular Fibrillation(VF) signals and Sudden Cardiac Death(SCD) signals for making an effective distinction from normal sinus rhythm(NSR) ***,three different ECG signals are decomposed by wavelet and reconstructed in each single *** highly discriminated frequency band will be chosen as our target ***,under the circumstances of different series length,embedding dimension and delay time,the main work is to distinguish the three ECG signals in different frequency bands based on the permutation entropy(PE).The results show that permutation entropy method can make a distinction between normal and abnormal ECG signals which aren't decomposed,but the effect of decomposing with wavelets is better *** the highest discriminated frequency band is from 15.625 Hz to 31.25 *** the point of different data length,embedding dimension and delay time,it was found that permutation entropy method have different effects and the findings may assist cardiac clinical diagnosis.

关键词： Ventricular Fibrillation Signals Sudden Cardiac Death Signals Wavelet Analysis Reconstruction Permutation Entropy

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An adaptive fractional pixel search algorithm

An adaptive fractional pixel search algorithm

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4th International Conference on Intelligent Sensing and Information processing

作者： Shen, Liquan Zhang, Zhaoyang Liu, Zhi Zhang, Wenjun Shanghai Univ Key Lab Adv Display & Syst Applicat Minist Educ Shanghai 200072 Peoples R China Shanghai Jiao Tong Univ Inst Image Commun & Informat Processing Shanghai 200030 Peoples R China

ISBN: (纸本)9781424406111

In this paper we propose an adaptive fractional pixel search algorithm for reduction computation its load. Based on that SAD(Sum of Absolute Difference) error surface is unimodal within the range of +/- 1 pixel, a novel fractional pixel search bypass strategy is first proposed;Then, a strategy of fractional pixel search early termination based on all-zero block detection is proposed. Finally, an adaptive fractional pixel search algorithm adopting above strategies and improved CBFPS (Center Biased Fractional Pixel Search) algorithm is proposed. Compared with the fractional pixel full search algorithm and JVT-F017 that adopts CBFPS, simulation results show that the proposed algorithm can reduce 76.60% and 68.22% fractional pixel search points respectively while it still maintains similar coding efficiency.

关键词： Pixels

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SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT FOR imageS WITH CONTRAST CHANGE

SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT FOR IMAGES WITH ...

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IEEE International Conference on image processing

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

ISBN: (纸本)9781479923427

It is widely known that, for most natural images, appropriate contrast enhancement can usually lead to improved subjective quality. Despite of its importance to image processing, contrast change has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, in this paper we first report a new and dedicated contrast-changed image database (CID2013). The CID2013 database is composed of four hundred contrast-changed images of fifteen original natural images and the mean opinion scores (MOSs) recorded from twenty-two inexperienced viewers. We then proposed a novel reduced-reference image quality metric for contrast-changed images (RIQMC) using entropies and order statistics of the image histograms. Experimental results on the CID2013, TID2008, and CSIQ databases demonstrate that the proposed RIQMC metric outperforms some mainstream image quality assessment methods.

关键词： Contrast-changed image database Mean opinion score (MOS) image quality assessment (IQA) Entropy Order statistics images entropy Quality assessment image quality Musci contrast enhancement Micturition current research image histogram

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Autonomous optical navigation for interplanetary exploration based on information of earth-moon

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Journal of Harbin Institute of Technology(New Series) 2003年第3期10卷 343-348页

作者：吴伟仁田玉龙黄翔宇 Institute for Pattern Recognition and Artificial Intelligence State Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Deep Space Exploration Research Center Harbin Institute of Technology Harbin 150001 Chinahe image elements of earth-center and moon-center are obtained by processing the images of earth and moon these image elements in combination with the inertial attitude information and the moon ephemeris are utilized to obtain the probe initial position relative to earth and the Levenberg-Marquardt algorithm is used to determine the accurate probe position relative to earth and the probe orbit relative to earth is estimated by using the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simulation.

The image elements of earth-center and moon-center are obtained by processing the images of earthand moon, these image elements in combination with the inertial attitude information and the moon ephemerisare utilized to obtain the probe initial position relative to earth, and the Levenberg-Marquardt algorithm is usedto determine the accurate probe position relative to earth, and the probe orbit relative to earth is estimated by u-sing the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simu-lation.

关键词： autonomous optical navigation interplanetary exploration Levenberg-Marquardt algorithm

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Matching SAR image to optical image using modified hausdorff distance and genetic algorithms

Matching SAR image to optical image using modified hausdorff...

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Conference on Pattern Recognition and Computer Vision

作者： Mao, Haicen Yu, Qiuze Zhang, Tianxu Huazhong Inst Electroopt Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Key Lab Educ Ministry Image Processing & Intellig Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469526

A novel algorithm for matching synthetic aperture radar (SAR) image to Optical image based on lineal feature using Hausdorff distance combined with genetic algorithm is proposed in this paper. A new method is presented to extract lineal feature from low signal to noise ratio (SNR) SAR image. Based on the edge image from SAR and Optical image, modified Hausdorff distance is adopted as a similarity measure because it is insensitive to noise. Genetic algorithm is used as searching strategy to achieve high computation speed for its inertial parallel. Experimental results using real SAR and Optical images demonstrate that the algorithm is robust, fast and can achieve high matching accuracy.

关键词： synthetic aperture radar (SAR) image image matching hausdorff distance genetic algorithm signal to noise ratio (SNTR)

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Toward Fine-Grained Facial Expression Manipulation 1

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16th European Conference on Computer Vision, ECCV 2020

作者： Ling, Jun Xue, Han Song, Li Yang, Shuhui Xie, Rong Gu, Xiao Institutet of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9783030586041

ISBN: (纸本)9783030586034

Facial expression manipulation aims at editing facial expression with a given condition. Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e.g., facial action units) to possess the desired expression. However, these methods either suffer from changing condition-irrelevant regions or are inefficient for fine-grained editing. In this study, we take these two objectives into consideration and propose a novel method. First, we replace continuous absolute condition with relative condition, specifically, relative action units. With relative action units, the generator learns to only transform regions of interest which are specified by non-zero-valued relative AUs. Second, our generator is built on U-Net but strengthened by multi-scale feature fusion (MSF) mechanism for high-quality expression editing purposes. Extensive experiments on both quantitative and qualitative evaluation demonstrate the improvements of our proposed approach compared to the state-of-the-art expression editing methods. Code is available at https://***/junleen/Expression-manipulator. © 2020, Springer Nature Switzerland AG.

关键词： Computer vision

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Real-time UHD video super-resolution and transcoding on heterogeneous hardware

Real-time UHD video super-resolution and transcoding on hete...

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作者： Dong, Yu Song, Li Xie, Rong Zhang, Wenjun Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China

Videos have become the major type of data produced and consumed every day. With screens grow larger, ultra high definition (UHD) videos are becoming more popular since they provide better visual experience. However, video contents with UHD resolution are still scarce. High-performance video super-resolution (SR) techniques that can obtain high resolution (HR) videos from low resolution (LR) sources are recently used in UHD video production. Deep learning (DL)-based SR methods can provide HR videos with appreciable objective and subjective qualities, while their massive computational complexity makes the processing speed far slower than real-time even on GPU servers when producing UHD videos. Moreover, transcoding and other video processing algorithms executed during the enhancement are also time and resource consuming, which performs relatively slow on ordinary CPU and GPU servers. Nowadays, hardware including GPU, field-programmable gate array (FPGA) and application specific integrated circuit (ASIC) are proved to have outstanding capability on image and video processing tasks in different aspects, and there are also dedicated hardware accelerators meant for specific video processing tasks. In this paper, we focus on accelerating a UHD video enhancement workflow on heterogeneous system with multiple hardware accelerators. First, we optimize the most time consuming task, video SR, with CUDNN and CUDA libraries to achieve real-time processing speed for a single UHD output frame on an ordinary GPU. Second, we design a GPU-friendly multi-thread scheduling algorithm for data and computation to better utilize GPU resources and achieve real-time performance on outputting UHD video clips. Third, targeting on production environment, we build a UHD video enhancement application on selected heterogeneous hardware, with an integrated command line tool of our proposed algorithm, and achieve 60 fps real-time end to end processing speed. Experiments show high efficiency, robustne

关键词： Graphics processing unit

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A local elitism based membrane evolutionary algorithm for point pattern matching

A local elitism based membrane evolutionary algorithm for po...

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8th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2013

作者： Ding, Zhuanlian Tang, Jin Zhang, Xingyi Luo, Bin School of Computer Science and Technology Anhui University HefeiAnhui230601 China Key Lab of Industrial Image Processing and Analysis of Anhui Province HefeiAnhui230039 China

ISBN: (纸本)9783642375019

Point pattern matching is a fundamental problem in computer vision and pattern recognition. Membrane computing is an emergent branch of bio-inspired computing, which provides a novel idea to solve computationally hard problems. In this paper, a new point pattern matching algorithm with local elitism strategy is proposed based on membrane computing models. Local elitism strategy is used to keep good correspondences of point pattern matching found during the search, so the matching rate and the convergence speed are improved. Five heuristic mutation rules are introduced to avoid the local optimum. Experiment results on both synthetic data and real world data illustrate that the proposed algorithm is of higher matching rate and better stability. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Membranes

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An improved speech enhancement method based on teager energy operator and perceptual wavelet packet decomposition

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Journal of Multimedia 2011年第3期6卷 308-315页

作者： Zhao, Huan Peng, Xiujuan Hu, Lian Wang, Gangjin Yu, Fei Xu, Chen School of Information Science and Engineering Hunan University Changsha China Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Posts and Telecommunications Nanjing China

According to the distribution characteristic of noise and clean speech signal in the frequency domain, a new speech enhancement method based on teager energy operator (TEO) and perceptual wavelet packet decomposition (PWPD) is proposed. Firstly, a modified Mask construction method is made to protect the acoustic cues at the low frequencies. Then a level-dependent parameter is introduced to further adjust the thresholds in light of the noise distribution feature. At last the sub-bands which have very little influence are set directly 0 to improve the signal-to-noise ratio (SNR) and reduce the computation load. Simulation results show that, under different kinds of noise environments, this new method not only enhances the signal-to-noise ratio (SNR) and perceptual evaluation of speech quality (PESQ), but also reduces the computation load, which is very advantageous for real-time realizing. © 2011 ACADEMY PUBLISHER.

关键词： Signal to noise ratio

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