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International Journal of Database Theory and Application 2014年第6期7卷 29-44页

作者： Chen, Ying Xu, Zhuoming Ni, Yuyan Cao, Guangxu Zhang, Shiqing College of Computer and Information Hohai University Nanjing Jiangsu China Institute of Image Processing and Pattern Recognition Taizhou University Taizhou Zhejiang China

Mapping RDB to RDF (i.e., RDB2RDF) is the key to constructing the Semantic Web, hence has been an active research field during the last decade. Many technically heterogeneous RDB2RDF tools resulted in non-interchangeable and unreusable RDB2RDF mapping descriptions. In 2009, the W3C RDB2RDF Incubator Group Report once strongly suggested that the RDB2RDF mapping language be expressed in rules as defined by the W3C Rule Interchange Format (RIF) Working Group, because rules are an effective way to express mappings between information models, and RIF, as part of the infrastructure for the Semantic Web, is now a standard for exchanging rules among Web rule systems. This paper addresses the issue of RIF-based RDB2RDF mapping and proposes a database semantics-driven, RIF Production Rule Dialect (RIF-PRD) based mapping description approach. The work includes defining a set of generic RIF-PRD mapping rules for RDB2RDF, developing a prototype mapping engine called RIFD2RME (stands for RIF-based RDB2RDF Mapping Engine), and conducting case study experiments with the prototype. The experimental results indicate that the proposed mapping approach is achievable and effective.

关键词： Mapping

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Feature extraction and visual feature fusion for the detection of concurrent prefix hijacks

IFIP Advances in Information and Communication Technology

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IFIP Advances in information and Communication Technology 2014年 437卷 310-319页

作者： Papadopoulos, Stavros Votis, Konstantinos Alexakos, Christos Tzovaras, Dimitrios Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom Information Technologies Institute Centre for Research and Technology Hellas P.O. Box 361 Thermi-Thessaloniki57001 Greece Pattern Recognition Laboratory Computer Engineering and Informatics University of Patras Patras Greece

This paper presents a method for visualizing and analyzing Multiple Origin Autonomous System (MOAS) incidents on Border Gateway Protocol (BGP), for the purpose of detecting concurrent prefix hijack. Concurrent prefix hijacks happen when an unauthorized network originates prefixes that belong to multiple other networks. Towards the goal of accurately identifying such events, multiple features are extracted from the BGP records and visualized using parallel coordinates enhanced with visual querying capabilities. The proposed visual queries enable the analyst to select a significant subset of the initial dataset for further analysis, based on the values of multiple features. This procedure allows for the efficient visual fusion of the proposed features and the accurate identification of prefix hijacks. Most of the previous approaches on BGP hijack detection depend on static methods in order to fuse the information from multiple features and identify anomalies. The proposed visual feature fusion, however, allows the human operator to incorporate his expert knowledge into the analysis, so as to dynamically investigate the observed events, and accurately identify anomalies. The efficiency of the proposed approach is demonstrated on state-of-the-art BGP events. © IFIP International Federation for information processing 2014.

关键词： Border Gateway Protocol

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Visual tracking based on weighted subspace reconstruction error

Visual tracking based on weighted subspace reconstruction er...

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IEEE International Conference on image processing

作者： Tao Zhou Junhao Zhang Kai Xie Jie Yang Xiangjian He Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Faculty of Engineering and Information Technology University of Technology Sydney Australia

ISBN: (纸本)9781479957521

It is a challenging task to develop an effective and robust visual tracking method due to factors such as pose variation, illumination change, occlusion, and motion blur. In this paper, a novel tracking algorithm based on weighted subspace reconstruction error is proposed. We first compute the discriminative weights by sparse construction error with template dictionary consisted of positive and negative samples, and then confidence map for candidates is computed through subspace reconstruction error. Finally, the location of the target object is estimated by maximizing the decision map which is combined discriminative weights and subspace reconstruction error. Furthermore, we use the new evaluation criterion to verify the robustness of the current tracking result, which can reduce the accumulated error effectively. Experimental results on some challenging video sequences show that the proposed algorithm performs favorably against seven state-of-the-art methods in terms of accuracy and robustness.

关键词： Target tracking Dictionaries Robustness image reconstruction Visualization computer vision

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Automatic image annotation exploiting textual and visual saliency

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8836卷 95-102页

作者： Gu, Yun Xue, Haoyang Yang, Jie Jia, Zhenhong Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China School of Information Science and Engineering Xinjiang University Urumqi China

Automatic image annotation is an attractive service for users and administrators of online photo sharing websites. In this paper, we propose an image annotation approach exploiting visual and textual saliency. For textual saliency, a concept graph is firstly established based on the association between the labels. Then semantic communities and latent textual saliency are detected;For visual saliency, we adopt a dual-layer BoW (DL-BoW) model integrated with the local features and salient regions of the image. Experiments on NUS-WIDE dataset demonstrate that the proposed method outperforms other state-of-the-art approaches. © Springer International Publishing Switzerland 2014.

关键词： image annotation

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Algorithm Research and Real-time Simulation of Neural Network Sliding Mode Position Control

Algorithm Research and Real-time Simulation of Neural Networ...

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第25届中国控制与决策会议

作者： LI Wei ZHANG Yanyu GAO Yong CHAI Xiuli Institute of Image Processing and Pattern Recognition Henan University School of Computer and Information Engineering Henan University School of Automation Science and Engineering Beihang University

ISBN: (纸本)9781467355339

This paper presents a neural network sliding mode control algorithm for position control of modular robot. This method adopts BP neural network to approximate the functional relation between the sliding hyperplane and the exponential approximation rate. At the same time, the saturation function of sliding mode control algorithm is replaced by a hyperbolic tangent function to realize the boundary design method of the sliding mode control. The results of real-time simulation show that the algorithm proposed in this paper has the merits of fast response, strong robustness, and reducing the chattering of sliding mode control. This method solves the problems that conventional PID algorithm can’t solve under some circumstances, such as complicated environment, great load change, etc.

关键词： Robot control actuator sliding mode control neural network control

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Feature points matching algorithm in DSA image registration

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Journal of Computational information Systems 2013年第1期9卷 113-120页

作者： Zhang, Fan Hou, Yabin Cui, Yanbin Zhang, Xinhong Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China Equipment Management Department Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China

Motion artifacts of digital subtraction angiography (DSA) are usually corrected by image registration. image registration is the process of transforming different sets of feature points into one coordinate system. Mismatches between the two sets of feature points will directly affect the image registration, and thus cause a lot of artifacts in the subtraction images. In this paper, a feature points matching algorithm is proposed. The similarity measure of feature point neighborhood is used to find the corresponding feature points, and delete a large number of non-existent corresponding feature points. It will improve image registration of DSA effectively. © 2013 Binary information Press.

关键词： image registration

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A Performance Study of Spatial Modulation Systems Under Vehicle-to-Vehicle Channel Models

A Performance Study of Spatial Modulation Systems Under Vehi...

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IEEE Vehicular Technology Conference

作者： Yu Fu Cheng-Xiang Wang Raed Mesleh Xiang Cheng Harald Haas Yejun He Joint Research Institute for Signal and Image Processing Heriot-Watt University School of Information Science and Engineering Shandong University Electrical Engineering Department and SNCS Research Center University of Tabuk School of Electronics Engineering & Computer Science Peking University Joint Research Institute for Signal and Image Processing University of Edinburgh College of Information Engineering Shenzhen University

ISBN: (纸本)9781479944811

Spatial modulation (SM) is a relatively new multiple-input multiple-output (MIMO) technology that can provide high data rate with reasonable spectral efficiency. In this paper, the bit error rate (BER) performance of SM systems under vehicle-to-vehicle (V2V) channel models is investigated. The theoretical BER expression is given. The impact of some V2V channel model parameters on the underlying space-time correlation function (STCF) and the BER performance of SM systems are also studied. Simulation results indicate that modulation schemes, maximum Doppler frequency, the distance between the transmitter (Tx) and receiver (Rx), and antenna element spacings can affect the performance of SM systems.

关键词： Spatial modulation Vehicle-to-vehicle channel model Bit error rate Space-time correlation function

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Unsupervised segmentation using cluster ensembles

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8836卷 76-84页

作者： Zhang, Wei Yang, Jie Jia, Wenjing Kasabov, Nikola Jia, Zhenhong Zhou, Lei Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China School of Computing and Communications University of Technology Sydney United States Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand School of Information Science and Engineering Xinjiang University Urumqi China

We propose a novel framework for automatic image segmentation. In this approach, a mixture of several over-segmentation methods are used to produce superpixels and then aggregation is achieved using a cluster ensemble method. Generated by different existing segmentation algorithms, superpixels can describe the manifold patterns of a natural image such as color space, smoothness and texture. We use them as the initial superpixels. Grouping cues which affect the performance of segmentation can also be captured. After the oversegmentation, the simultaneous collection of superpixels is expected to achieve synergistic effects and ensure the accuracy of the segmentation. For this purpose, cluster ensemble methods are used to process the initial segmentation results and produce the final result. Our method achieves significantly better performance on the Berkeley Segmentation Database compared to state-of-theart techniques. © Springer International Publishing Switzerland.

关键词： Superpixels

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Remote sensing image enhancement based on relative entropy and fuzzy algorithm

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Journal of Applied Sciences 2013年第13期13卷 2394-2398页

作者： Yang, Bo Jia, Zhen-Hong Qin, Xi-Zhong Yang, Jie Hu, Ying-Jie College of Information Science and Engineering Xinjiang University Urumqi 830046 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland 1020 New Zealand

An improved maximum between-cluster variance (OTSU) algorithm was proposed to obtain the threshold adaptively in order to overcome the disadvantages of traditional Pal-King algorithm. The algorithm is able to globally enhance the remote sensing images but, for the relevance of neighboring pixel information is not taken into account in the improved algorithm, the visual effect of low contrast images is also not so good. The algorithm in this study can be used to realize the self-adaptive contrast enhancement when the relative entropy is regarded as a criterion. In order to test the enhancement effect of the proposed algorithm for remote sensing image, we choose 50 remote sensing images for test. Experimental results show that a good visual effect is obtained and the clarity, standard deviation has been improved greatly. Therefore, the algorithm is thought to be an effective ways to get better visual effects and more obvious detailed information. © 2013 Asian Network for Scientific information.

关键词： image enhancement

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Contour segmentation based on GVF snake model and contourlet transform

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9th International Conference on Intelligent Computing, ICIC 2013

作者： Zhang, Xinhong Cai, Kun Zhang, Fan Li, Rui Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China Software School Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China

ISBN: (纸本)9783642394812

A contour segmentation algorithm is proposed based on GVF Snake model and Contourlet transform. Firstly, object contours of images can be obtained based on Contourlet Transform, and those contours will be identified as the initial contour of GVF Snake model. Secondly, GVF Snake model is used to detect the contour edge of human gait motion. Experimental results show that the proposed method can extract the edge feature accurately and efficiently. © 2013 Springer-Verlag.

关键词： Contourlet transform

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