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China Communications 2013年第5期 8-10页

作者：陈熙霖朱秀昌王桥胡栋 Ming-Ting SUN the Institute of Computing Technology Chinese Academy of Sciences (CAS) the IEEE Transactions on Image Processing the Journal of Computer Science and Technology the Chinese Journal of Computers College of Communications and Information Engineering NUPT Image Processing and Image Communications Key Laboratory of Information Industrial Ministry and Jiangsu Province Signal and Information Processing Laboratory Southeast University

In the past few years, video has become one of the most powerful engines to push communications forward. The increasing of digital video technology requires larger and larger bandwidth for various applications, such as IPTV, VOD, video phone, mobile search, etc. The goal of this Feature Topic column is to present and highlight the latest progress and future video-related technologies. We hope this

关键词： IEEE over

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A TWO LAYERED DATA ASSOCIATION APPROACH FOR BALL TRACKING

A TWO LAYERED DATA ASSOCIATION APPROACH FOR BALL TRACKING

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Xiangzeng Zhou Qiang Huang Lei Xie Stephen Cox Shaanxi Provincial Key Laboratory of Speech & Image Information Processing (SAIIP) School of Computer Science Northwestern Polytechnical University Xi'an 710072 P. R. China School of Computing Sciences University of East Anglia Norwich NR4 7TJ United Kingdom

ISBN: (纸本)9781479903573

Ball-tracking is a key technology in processing and analyzing a ball game. Because of the complexity of visual scenes, a large number of objects are usually selected as candidates for the ball, leading to incorrect identification, and conversely, the true position of the ball may sometimes be missed. In this paper, we propose a two layered data association method to improve the robustness of ball-tracking. At a local layer, we use a sliding window based Token Transfer method to generate a set of sub-trajectory candidates. At a global layer, a single ball trajectory is obtained by applying a dynamic programming based splice method to a graph consisting of the sub-trajectory candidates. We evaluated our approach on tennis matches from the Australian Open and the U.S. Open, and the results obtained show that our approach outperforms the state-of-art approach by around 30 %.

关键词： data association tennis ball tracking trajectory layered data association tennis Ball Device Component trajectory roller path tracking sliding windows Key technology associations Association

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Improving SPARQL query performance with algebraic expression tree based caching and entity caching

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Journal of Zhejiang University-science C(computers and Electronics) 2012年第4期13卷 281-294页

作者： Gang WU Meng-dong YANG College of Information Science and Engineering Northeastern UniversityShenyang 110004China MOE Key Laboratory of Medical Image Computing Northeastern UniversityShenyang 110004China School of Computer Science andEngmeermg Southeast UniversityNanjing 210096China

To obtain comparable high query performance with relational databases,diverse database technologies have to be adapted to confront the complexity posed by both Resource Description Framework(RDF) data and SPARQL *** caching is one of such technologies that improves the performance of database with reasonable space expense based on the spatial/temporal/semantic locality ***,existing caching schemes exploited in RDF stores are found to be dysfunctional for complex query *** semantic caching approaches work effectively in this case,little work has been done in this *** this paper,we try to improve SPARQL query performance with semantic caching approaches,i.e.,SPARQL algebraic expression tree(AET) based caching and entity *** queries with multiple identical sub-queries and star-shaped joins can be efficiently evaluated with these two *** approaches are implemented on a two-level-storage *** main memory stores the most frequently accessed cache items,and items swapped out are stored on the disk for future possible *** results on three mainstream RDF benchmarks illustrate the effectiveness and efficiency of our *** with previous research are also provided.

关键词： SPARQL Resource Description Framework （RDF） Semantic caching Algebraic expression tree （AET） Entity

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Are infrared images reliable for palmprint based personal identification systems?

Are infrared images reliable for palmprint based personal id...

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Electronics, Communications and Photonics Conference (SIECPC), Saudi International

作者： Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Laboratoire de Génie Électrique Faculté des Sciences et de la Technologie et des Sciences de la Matière Université Kasdi Merbah Ouargla Algeria Signal and Image Processing Laboratory Electronics and Computer Science Faculty USTHB Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle upon Tyne UK

Several studies for palmprint-based person identification have focused on the use of palmprint images captured in the visible part of the spectrum. However, to a possible improvement of the existing palmprint systems, the proposed work concerned with the use of infrared palmprint images for the palmprint identification system. For that, a comparison of infrared palmprint images versus gray level and color image is given. At the features-extraction stage the features are generated by the method of Principal Component Analysis (PCA). This feature-extraction technique has been widely used for pattern recognition, as well as in the field of biometrics. The proposed scheme is tested and evaluated using PolyU multispectral palmprint database of 400 users. Our experimental results show that the infrared spectrum achieves the best result. Also, color image present three spectrums, for that, we propose a score level and image level fusion schemes to integrate these colors information.

关键词： Biometrics (access control) Databases Feature extraction Vectors Principal component analysis Color image color analysis

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Improving SPARQL query performance with algebraic expression tree based caching and entity caching

Improving SPARQL query performance with algebraic expression...

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作者： Wu, Gang Yang, Meng-Dong College of Information Science and Engineering Northeastern University Shenyang 110004 China MOE Key Laboratory of Medical Image Computing Northeastern University Shenyang 110004 China School of Computer Science and Engineering Southeast University Nanjing 210096 China

To obtain comparable high query performance with relational databases, diverse database technologies have to be adapted to confront the complexity posed by both Resource Description Framework (RDF) data and PARQL query. Database caching is one of such technologies that improves the performance of database with reasonable space expense based on the spatial/ temporal/semantic locality principle. However, existing caching schemes exploited in RDF stores are found to be dysfunctional for complex query semantics. Although semantic caching approaches work effectively in this case, little work has been done in this area. In this paper, we try to improve SPARQL query performance with semantic caching approaches, i.e., SPARQL algebraic expression tree (AET) based caching and entity caching. Successive queries with multiple identical sub-queries and star-shaped joins can be efficiently evaluated with these two approaches. The approaches are implemented on a two-level-storage structure. The main memory stores the most frequently accessed cache items, and items swapped out are stored on the disk for future possible reuse. Evaluation results on three mainstream RDF benchmarks illustrate the effectiveness and efficiency of our approaches. Comparisons with previous research are also provided. © 2012 Zhejiang University and Springer-Verlag Berlin Heidelberg.

关键词： Resource Description Framework (RDF)

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Does independent component analysis perform well for iris recognition?

Does independent component analysis perform well for iris re...

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作者： Bouraoui, Imane Chitroub, Salim Bouridane, Ahmed Signal and Image Processing Laboratory Electronics and Computer Science Faculty University of Science and Technology of Houari Boumedienne P.O. Box 32 El - Alia Bab - Ezzouar 16111 Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle upon Tyne United Kingdom Department of Computer Science King Saud University Riyadh Saudi Arabia

This paper is concerned with an application of ICA for a possible improvement of iris recognition by replying to the question: does ICA perform well for such purpose? To achieve this, the hypotheses and the theoretical concepts of ICA methods used are handled so that coherence with iris authentication application is guaranteed. Our contribution is not in the development of new theoretical concepts of ICA but it is in adapting its basic ideas for our application. Also, it consists of deploying its powerful and its efficiency for iris recognition, and consequently;it's potential to embed it on smart cards for increasing application domains of secure biometric-based individual identification systems. We have developed a comparative study between the implemented ICA algorithms and other recent and popular methods of iris recognition. We have demonstrated our experimental results using some mathematical criteria. Three different subsets of international certified CASIA iris image databases are used for testing the different implemented methods. The conclusion of such comparative study is that the ICA-based approaches are more effective and more practical than other existing methods. © 2012 - IOS Press and the authors. All rights reserved.

关键词： Biometrics

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An Efficient Multispectral Palmprint Identification System Using Radial Basis Function

An Efficient Multispectral Palmprint Identification System U...

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IEEE International New Circuits and Systems Conference

作者： Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Universite Kasdi Merbah Ouargla Laboratoire de Genie Electrique Faculte des Sciences et de la Technologie et des Sciences de la Matiere Signal and Image Processing Laboratory Electronics and Computer Science Faculty USTHB School of Computing Engineering and Information Sciences Northumbria University

ISBN: (纸本)9781479906185

Several studies for palmprint-based personal identification have focused on improving the performance of palmprint images captured under visible light. However, during the past few years, some researchers have considered multispectral images to improve the effect of these systems. Compared with color images, multispectral images provide additional information due to its variety of spectral bands. In this paper, we propose an efficient online personal identification system based on MultiSpectral Palmprint (MSP) using the Radial Basis Function (RBF) and two-dimensional Block based Discrete Cosine Transform (2D-BDCT). In this study, a segmented MSP is firstly divided into non-overlapping and equal-sized blocks, and then, applies the 2D-BDCT over each block. By using zigzag scan order (starting at the top-left) each transform block is reordered to produce the feature vector. Subsequently, RBF method is used for modeling and so for classifying the feature vectors. The proposed method is validated for their efficacy on the available PolyU MSP Database of 300 users. Our experimental results show the effectiveness and reliability of the proposed approach, which brings both high identification and accuracy rate.

关键词： Biometrics Identification MSP 2D-BDCT RBF Data fusion

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Efficient person recognition by Finger-Knuckle-Print based on 2D Discrete Cosine Transform

Efficient person recognition by Finger-Knuckle-Print based o...

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2012 International Conference on information Technology and e-Services, ICITeS 2012

作者： Saigaa, Mohammed Meraoumia, Abdallah Chitroub, Salim Bouridane, Ahmed Signal and Image Processing Laboratory Electronics and Computer Science Faculty USTHB P.O. box 32 El Alia Bab Ezzouar 16111 Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Pandon Building Newcastle upon Tyne United Kingdom

ISBN: (纸本)9781467311663

Biometric system has been actively emerging in various industries for the past few years, and it is continuing to roll to provide higher security features for access control system. In the recent years, hand based biometrics is extensively used for personal recognition. In this paper a new biometric system based on texture of the hand knuckles, namely Finger-Knuckle-Print (FKP), is proposed. To extract the image local texture information and represent the FKPs features, the 2D Block based Discrete Cosine Transform (2D-BDCT), is employed. Finally, performance of all finger types is determined individually and a min rule fusion is applied to develop a multimodal system. Experimental results show that 2D-DCT-mod2 yields the best performance for identifying FKPs and it is able to provide an excellent recognition rate and provide more security. © 2012 IEEE.

关键词： Discrete cosine transforms

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Adaptive dynamic composite service reselection mechanism with compensation

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Journal of Convergence information Technology 2012年第15期7卷 74-81页

作者： Yin, Ying Zhang, Xizhe Zhao, Yuhai Zhang, Bin Zhao, Dazhe College of Information Science and Engineering Northeastern University Shenyang Liaoning China National Engineering Research Center for Computer Software Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang 110179 China

Dynamic reselection is an important stage for adaptive composite service reliable execution. Most of the previous reselection methods are replacement directly using candidate service or candidate service sets with minimal cost. Toward some business process, Web service based application requires more transactional support beyond traditional transactions. In this situation, replacement indirectly may violate the atomicity character of transaction;this will lead to the un-consistency of transaction Web service. Moreover, executed data were stored in the memory and could not be released which subsequently result in the serious results such as "missing" of data. This paper considers not only transactional behavior but reselection cost analysis with compensation. We extend the reselection framework by supporting compensation and give three stages for reselection. A correlation analysis and behavior matching can be execute to obtain the range of cascading compensation and decide the range of reselection. Further more, we analysis the single node substitution cost and path substitution cost with compensation in details. After that, this paper presets an object cost-benefit function which considers customer's preference by regulating parameters at will and guarantees the optimal reselection strategy.

关键词： Cost benefit analysis

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Efficient person recognition by Finger-Knuckle-Print based on 2D Discrete Cosine Transform

Efficient person recognition by Finger-Knuckle-Print based o...

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International Conference on information Technology and e-Services (ICITeS)

作者： Mohammed Saigaa Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Signal and Image Processing Laboratory Electronics and Computer Science Faculty University of Sciences and Technology Houari Boumediene Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle-upon-Tyne UK

关键词： Feature extraction Biometrics Databases Vectors Thumb Discrete cosine transforms

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