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

作者： Ling Li Hua Yang Hang Su Yihua Cao Shibao Zheng Institution of Image Communication and Information Processing Department of EE Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiao Tong University Shanghai China

With the accelerated global urbanization and life rhythm, an increasing physical and mental stress has been imposed, which led to a variety of problems that could not be ignored. This paper proposes a novel web-based telemedicine system that is focusing on psychotherapy. Considering the requirement of the psychological treatment, the function of system contains high definition video monitoring, two-way voice talkback, physiology parameters monitoring and data management based on database. The solution of the system is presented in the paper, including the hardware and software design. Some key issues in the system, including HD video processing, physiological parameters processing, are also discussed. Finally, the demonstration system and performance evaluation are presented.

关键词： Medical services Biomedical monitoring High definition video Servers Telemedicine Databases Decoding

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image Quality Assessment Based on Local Edge Direction Histogram

Image Quality Assessment Based on Local Edge Direction Histo...

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2011 International Conference on image Analysis and Signal processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

作者： Xiaolin Chen Rui Zhang Shibao Zheng Institute of Image Communication and Information Processing Department of Electronic EngineeringShanghai Key Laboratory of Digital Media Processing and TransmissionsShanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781612848792

In this paper, we propose a new edge direction histogram (EDH) based on a structural similarity method for image quality assessment. We were motivated by the fact that the structural information of image can be described by the distribution of gradient magnitudes, as well as the one of edge directions. Therefore, we introduce the edge direction histogram to robustly represent the distribution of edge magnitudes and directions simultaneously. We further develop a distance metric to evaluate the quality of images by computing the structural similarity between EDH descriptors of the reference and the distorted one. Experimental results show that the proposed method outperforms some wellknown full-reference image quality metrics.

关键词： image quality assessment edge direction histogram structural similarity

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Compressive Network Coding for Approximate Sensor Data Gathering

Compressive Network Coding for Approximate Sensor Data Gathe...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Luo, Chong Sun, Jun Wu, Feng Shanghai Jiao Tong Univ Inst Image Commun & Informat Proc Shanghai 200030 Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Digital Media Processing & Commu Shanghai 200030 Peoples R China Microsoft Res Beijing Peoples R China

ISBN: (纸本)9781424492688

This paper presents a joint source and network coding scheme, called compressive network coding (CNC), for approximate data gathering in wireless sensor networks. Injecting the concept of compressive sensing into network coding avoids the all-or-nothing effect of network decoding, allowing CNC to achieve graceful degradation in data precisions when the energy budget is not sufficient. Based on the observation that sensor links are highly unreliable, we formulate the energy constrained multi-source, multi-hop, and multi-path transmission as a network utility maximization (NUM) problem. A practical distributed algorithm is developed to achieve the optimal utility. We carry out simulations over real sensor data. Results show that CNC consistently outperforms conventional network coding, achieving an average gain over 3.7 dB in data reconstruction PSNR. Furthermore, CNC achieves over 10 dB gain for five sensors (out of 53) whose readings contain abrupt changes.

关键词： CNC Computer numerical control NUM problem Network coding Peer to peer computing Relays Temperature measurement Temperature sensors Wireless sensor networks approximate sensor data gathering approximation theory compressive network coding data precisions data reconstruction PSNR distributed algorithm distributed algorithms energy budget gain 10 dB joint source coding scheme multihop transmission multipath transmission network coding network utility maximization problem optimisation sensor links wireless sensor networks wireless sensor networks

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Temporal Bandwidth Resource Allocation for Surveillance Video Transporting

Temporal Bandwidth Resource Allocation for Surveillance Vide...

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International Conference on Wireless communications, Networking and Mobile Computing (WiCom)

作者： Jiajian Yu Shibao Zheng Chongyang Zhang Changbin Shao Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratories of Digital Media Processing and Communication Shanghai Jiao Tong University Shanghai China Shanghai Jiao Tong University Shanghai CN

Limited by the restriction of bandwidth, it is difficult to meet the high quality and low-time-delay requirements simultaneously for the practical wireless video surveillance systems. In this paper, a dual-stream coding and transporting scheme is proposed to provide one possible solution. In the proposed system, two streams for one surveillance video are generated: one is low-bitrate coded and transported timely, which is named as real-time stream and used for real-time monitoring; the other one is high-quality coded and buffered for non-real-time transmission. In addition, we design a novel temporal bandwidth allocation method for the transporting of the two streams, in which the bandwidth is assigned adaptively to the abnormal events (AEs) detection result to achieve the efficient using of the temporal bandwidth resource. The result of experiment shows that the dual-stream coding and transporting method can outperform the single stream coding and transporting surveillance system.

关键词： Streaming media Bandwidth Surveillance PSNR Propagation losses Encoding Real time systems

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Blurring Length Estimation Using Ringing Artifacts in a Deblurred image

Blurring Length Estimation Using Ringing Artifacts in a Debl...

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2011 International Conference on image Analysis and Signal processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

作者： Hong Liu Shuangxue Yang Benyong Liu Xiang Liao School of Computer Science and Information Institute of Intelligent Information Processing Guizhou Key Lab of Sound-Image Material Examination and Authentication The Ministry of Public Security of PR

ISBN: (纸本)9781612848792

The restoration quality of a motion-blurred image is highly dependent on the estimation accuracy of the motion blurring parameter. This manuscript presents a novel and precise method for estimation of the motion blurring length, wherein the ringing artifact amount of a deblurred image is measured by energy proportion contained in appropriate frequency bands, and a blurring length with minimum ringing artifact amount is taken as the optimal estimation of the true blurring length. Experimental results show good performance of the proposed algorithm in motion blurring length estimation.

关键词： blurred image restoration blurring kernel motion blur ringing artifacts

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Traffic speed measurement using Spatio-Temporal model and frequency domain analysis

Traffic speed measurement using Spatio-Temporal model and fr...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Arucha Rungchokanun Vutipong Areekul Supakorn Siddhichai Hiroaki Kunieda Kasetsart Signal & Image Processing Laboratory (KSIP Lab) Department of Electrical Engineering Kasetsart University Thailand Image Technology Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Department of Communication and Integrated Systems Tokyo Institute of Technology Meguro Tokyo Japan

In traffic monitoring applications, traffic speed is an important parameter of traffic management. The method for traffic speed measurement using video based on Spatio-Temporal (ST) model and frequency domain analysis is proposed in this paper. This method is designed to be able to measure the traffic speed in every pattern of road. The novel of proposed method is unfolding the edge information on ST model and analyse them in frequency domain to determine traffic speed. The proposed method is evaluated by compare with actual speed. The traffic speed is measured accurately 97.1%.

关键词： Analytical models Sensors Pixel image sensors Monitoring

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A Research of Heart Rate Prediction Model Based on Evolutionary Neural Network

A Research of Heart Rate Prediction Model Based on Evolution...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Feng Xiao Ming Yuchi Mingyue Ding Jun Jo Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Life College of Science and Technology Huazhong University of Science and Technology Wuhan China School of Information and Communication Technology Griffith University QLD Australia

Heart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural Network - Neuro-evolution of Augmenting Topologies (NEAT) is used to build a PA-based HR predictor model. Through special coding, crossover and mutation operator, NEAT can implement network topology and connectivity weights evolution simultaneously. The common problem in evolutionary neural network, like competing conventions, how to protect the new innovation are effectively solved. The experimental results demonstrated the application potential of the approach.

关键词： Heart rate Biological neural networks Training Monitoring Neurons Encoding Biomedical monitoring

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Vehicle Color Recognition Using Monocular camera

Vehicle Color Recognition Using Monocular camera

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Mengjie Yang Xiuchang Zhu Liang Li Guang Han Xiaofei Li Jiangsu Provincial Key Lab of Image Processing and ImageCommunication Nanjing Univ. of P&TNanjing Engineering Research Center of Wideband Wireless Communication and Display Technique Ministry of Ed Engineering Research Center of Wideband WirelessCommunication and Display Technique Ministry ofEduc

This paper introduces a novel moving vehicle color recognition method. By processing videos recorded by monocular camera on traffic, we get single color image of vehicles which are crossed the traffic in any direction. First, paper employed a H-S two dimension histogram method to detect the color of the vehicles, and distinguish red, yellow, green and blue four color vehicles. Due to deal with the vehicles that do not satisfy above 4 colors, Regional Color Judgment method is proposed. This method consists of the following five steps: Firstly, position the color detection region by identifying the travelling direction of the vehicle. Then pick out the candidate color extraction region used to vehicle recognition. At last extract the color of the candidate region and match the color with the templates we predefined, the color of the best fit template is the color of the vehicle.

关键词： vehicle color recognition region choice HSV space vehicle detection

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MOTION VECTOR RECOVERY METHOD BASED ON MEAN SHIFT PROCEDURE

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Journal of Electronics(China) 2010年第6期27卷 830-837页

作者： Zhan Xuefeng Zhu Xiuchang Image Processing and Image Communication Lab Nanjing University of Posts and Telecommunications Nanjing 210003 China

This letter presents a novel Motion Vector (MV) recovery method which is based on Mean Shift (MS) procedure. According to motion continuity, MVs in local area should be similar. If projecting MV into 2-D feature space, local MVs in the feature space tend to cluster closely. To estimate the lost MVs in local area, recovery of lost MVs is modeled as clustering operation. MS procedure is applied to enforce each lost MV in the feature space to shift to the position where dominant MVs are gathered. Meanwhile, bandwidth estimation is statistically characterized by the variation of local standard de-viations; weighted value calculation is determined by estimation of overall standard deviation. Simu-lation results demonstrate their better performance when compared with other MV recovery ap-proaches and low computation cost.

关键词： Error concealment Motion Vector (MV) recovery Mean shift K-means Bandwidth estimation

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Interactive object segmentation using iterative adjustable graph cut

Interactive object segmentation using iterative adjustable g...

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IEEE Visual communications and image processing (VCIP)

作者： Ran Shi Zhi Liu Yinzhu Xue Xiang Zhang School of Communication and Information Engineering Shanghai University Shanghai China Key Laboratory of Advanced Display and System Application Ministry of Education Shanghai University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Interactive object segmentation is widely used for extracting any user-interested objects from natural images. A common problem with many interactive segmentation approaches is that the object segmentation quality is degraded due to inaccurate object/background seeds provided by the user. This paper proposes an iterative adjustable graph cut to efficiently solve this problem. First, object/background seeds are initialized based on the object segmentation result obtained with the user-specified scribbles as the interactive input. Then, an iterative seed adjustment scheme is exploited to correct inaccurate seeds and extract new suitable seeds via graph cut, in which the balancing weight between energy terms are adaptively updated to protect stable seeds and speedup the iteration process. Finally, suitable seeds are obtained and graph cut is used to segment the objects. Experimental results demonstrate the better segmentation performance of our approach even if user provides rather rough seeds.

关键词： Object segmentation image segmentation Reliability Iterative methods Educational institutions image color analysis Error analysis

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