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2011 IEEE Visual communications and image processing, VCIP 2011

作者： Shi, Ran Liu, Zhi Xue, Yinzhu Zhang, Xiang School of Communication and Information Engineering Shanghai University Shanghai 200072 China Key Laboratory of Advanced Display and System Application Shanghai University Ministry of Education Shanghai 200072 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9781457713200

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. © 2011 IEEE.

关键词： image segmentation

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Geometric Motion Flow (GMF): A New Feature for Traffic Surveillance

Geometric Motion Flow (GMF): A New Feature for Traffic Surve...

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International Conference on image and Graphics (ICIG)

作者： Yawen Fan Hua Yang Shibao Zheng Hang Su Institution of Image Communication and Information Processing Department of EE Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiaotong University Shanghai China

Motion analysis is still a challenging task in many computer vision applications. This paper proposes a new low-level motion feature based on geometric regularity information, particularly suited for traffic surveillance. Firstly, a novel concept of temporal geometry consistency constraint (TGCC) is introduced, which exploits the fact that the geometric structure of a rigid object remains consistent across consecutive frames. Furthermore, the spatial geometric flow is adopted to characterize image structure. Finally, the video motion is represented as a set of geometric flow that moves in the temporal direction. In this case, the method yields a promising illumination robust moderately dense geometric motion flow (GMF) and has more explicit motion boundaries. The GMF could also be used for higher level motion modeling and structural inference tasks, as an effective low-level feature. Extensive experiment results on real video demonstrate the effectiveness and robustness of the proposed method for vehicle motion analysis.

关键词： Optical imaging Geometrical optics Robustness Lighting Computer vision Motion estimation Geometry

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Research on 3G-based mobile self-rescue system for medical emergency

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Journal of Networks 2011年第8期6卷 1214-1221页

作者： Dai, Weihui Wang, Chunshi Li, Guoxi Yu, Fei Xu, Chen School of Management Fudan University Shanghai China School of Software Fudan University Shanghai China Jiangsu Provincial Key Lab of Image Processing Image Communications Nanjing University of Posts Telecommunications Nanjing China

With the development of economy and society, people become more fluid, and in the meanwhile there is increasing demand for medical service in mobile environment. Especially when an outdoor accident or Paroxysmal disease happens, the earliest and most effective rescue is offered not by the medical staffs, but by people themselves. At that moment, if the first-aid instruction can be provided by medical experts in time, casualties are expected to be minimized. In combination with 3G communication network, streaming media technology, E-expert system as well as the knowledge about medical diagnostics and emergent treatment, this paper explored a mobile self-rescue system for medical emergency. This system can connect the doctors and patients who are physically separated, and thus help the patients realize self-rescue through the 3G-based mobile communications at anytime and anywhere. © 2011 ACADEMY PUBLISHER.

关键词： Diagnosis

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A Web-Based HD Telemedicine System for Remote Psychotherapy

A Web-Based HD Telemedicine System for Remote Psychotherapy

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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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