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Identity Based Encryption and Biometric Authentication Scheme for Secure Data Access in Cloud Computing

电子学报(英文版) 2012年第2期21卷 254-259页

作者： CHENG Hongbing RONG Chunming TAN Zhenghua ZENG Qingkai State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Information Engineering Jiangsu City Vocation College Nanjing 210036 China Department of Electronic Engineering and Computer Science University of Stavanger 4036 Stavanger Norway Department of Electronic Systems Aalborg University Niels Jernes Vej 12 9220 Aalborg Denmark

Cloud computing will be a main information infrastructure in the future;it consists of many large datacenters which are usually geographically distributed and heterogeneous. How to design a secure data access for cloud computing platform is a big challenge. In this paper, we propose a secure data access scheme based on identity-based encryption and biometric authentication for cloud computing. Firstly, we describe the security concern of cloud computing and then propose an integrated data access scheme for cloud computing, the procedure of the proposed scheme include parameter setup, key distribution, feature template creation, cloud data processing and secure data access control. Finally, we compare the proposed scheme with other schemes through comprehensive analysis and simulation. The results show that the proposed data access scheme is feasible and secure for cloud computing.

关键词：计算安全数据访问身份验证生物识别加密信息基础设施地理分布数据中心

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Improve tree kernel-based event pronoun resolution with competitive information

Improve tree kernel-based event pronoun resolution with comp...

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Kong, Fang Zhou, Guodong JiangSu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University China

ISBN: (纸本)9781577355120

Event anaphora resolution plays a critical role in discourse analysis. This paper proposes a tree kernel- based framework for event pronoun resolution. In particular, a new tree expansion scheme is introduced to automatically determine a proper parse tree structure for event pronoun resolution by considering various kinds of competitive information related with the anaphor and the antecedent candidate. Evaluation on the OntoNotes English corpus shows the appropriateness of the tree kernel-based framework and the effectiveness of competitive information for event pronoun resolution.

关键词： Trees (mathematics)

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Chinese zero anaphor detection: Rule-based approach

Chinese zero anaphor detection: Rule-based approach

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作者： Qin, Kaiwei Kong, Fang Li, Peifeng Zhu, Qiaoming School of Computer Science and Technology Soochow University Jiangsu 215006 China Key Lab. of Computer Information Processing Technology of Jiangsu Province Suzhou Jiangsu 215006 China

ISBN: (纸本)9783642256608

A rule-based approach for Chinese zero anaphor detection is proposed. Given a parse tree, the smallest IP sub-tree covering the current predicate is captured. Based on this IP sub-tree, some rules are proposed for detecting whether a Chinese zero anaphor exists. This paper also systematically evaluates the rule-based method on OntoNotes corpus. Using golden parse tree, our method achieves 82.45 in F-measure. And the F-measure is 63.84 using automatic parser. The experiment results show that our method is very effective on Chinese zero anaphor detection. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Forestry

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Rational semantics for prioritized logic programs

Rational semantics for prioritized logic programs

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International Conference on computer Science and Service System

作者： Zhang, Zhizheng School of Computer Science and Engineering Southeast University Nanjing 210096 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University China

ISBN: (纸本)9781424497638

Both preference logics and preference representation in logic programming are concerned with reasoning about preferences on combinatorial domains, yet little research has been published using preference axioms in logic programming with preferences. In this paper, we propose a rational semantic for prioritized logic programming by combining rational preference with ideas underlying answer set programming. The rational semantics can implement a pervasive prioritized reasoning idea: The more preferential the precondition is, the more preferential the conclusion is. Rational preference logic is used to modeling the behavior of a rational agent. In this paper, we use rational preference axioms as the preference propagation principles. © 2011 IEEE.

关键词： Logic programming

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Effectively Discriminating Fighting Shots in Action Movies

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Journal of computer Science & technology 2011年第1期26卷 187-194页

作者：马述高王伟强 School of Information Science and Engineering Graduate University of Chinese Academy of Sciences Computer Science Department Boston UniversityBoston MA 02215U.S.A. Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

Fighting shots are the highlights of action movies and an effective approach to discriminating fighting shots is very useful for many applications, such as movie trailer construction, movie content filtering, and movie content retrieval. In this paper, we present a novel method for this task. Our approach first extracts the reliable motion information of local invariant features through a robust keypoint tracking computation; then foreground keypoints are distinguished from background keypoints by a sophisticated voting process; further, the parameters of the camera motion model is computed based on the motion information of background keypoints, and this model is then used as a reference to compute the actual motion of foreground keypoints; finally, the corresponding feature vectors are extracted to characterizing the motions of foreground keypoints, and a support vector machine （SVM） classifier is trained based on the extracted feature vectors to discriminate fighting shots. Experimental results on representative action movies show our approach is very effective.

关键词： video analysis motion concept learning

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Salient region detection and segmentation for general object recognition and image understanding

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Science China(information Sciences) 2011年第12期54卷 2481-2490页

作者： HUANG TieJun 1 , TIAN YongHong 1 , LI Jia 2 & YU HaoNan 11 National Engineering laboratory for Video technology, School of Electrical Engineering and computer Science, Peking University, Beijing 100871, China 2 key laboratory of Intelligent information processing, Institute of Computing technology, Chinese Academy of Sciences, Beijing 100190, China National Engineering Laboratory for Video Technology School of Electrical Engineering and Computer Science Peking University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

General object recognition and image understanding is recognized as a dramatic goal for computer vision and multimedia retrieval. In spite of the great efforts devoted in the last two decades, it still remains an open problem. In this paper, we propose a selective attention-driven model for general image understanding, named GORIUM (general object recognition and image understanding model). The key idea of our model is to discover recurring visual objects by selective attention modeling and pairwise local invariant features matching on a large image set in an unsupervised manner. Towards this end, it can be formulated as a four-layer bottom-up model, i.e., salient region detection, object segmentation, automatic object discovering and visual dictionary construction. By exploiting multi-task learning methods to model visual saliency simultaneously with the bottom-up and top-down factors, the lowest layer can effectively detect salient objects in an image. The second layer exploits a simple yet effective learning approach to generate two complementary maps from several raw saliency maps, which then can be utilized to segment the salient objects precisely from a complex scene. For the third layer, we have also implemented an unsupervised approach to automatically discover general objects from large image set by pairwise matching with local invariant features. Afterwards, visual dictionary construction can be implemented by using many state-of-the-art algorithms and tools available nowadays.

关键词： object recognition image understanding visual saliency salient object segmentation visual dictionary

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Color reproduction for noisy CFA data using directional cycle-spinning

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Journal of Systems Engineering and Electronics 2011年第3期22卷 528-533页

作者： Weiyu Yu Jing Tian Yonghao Xiao School of Electronic and Information Engineering South China University of TechnologyGuangzhou 510640P.R.China Provincial Key Laboratory for Computer Information Processing Technology School of Computer Science and TechnologySoochow UniversitySuzhou 215006P.R.China School of Electrical and Electronic Engineering Nanyang Technological UniversityNanyang Avenue 639798Singapore

This paper addresses color filter array（CFA） color reproduction problem where the aim is to utilize an image captured by the CFA to produce an image with full color ***,conventional subband synthesis based color reproduction techniques do not consider the noise during image acquisition and assume that the CFA data are *** tackle the noisy CFA data,a novel approach is proposed by inserting a subband denoising scheme into the conventional subband synthesis ***,conventional subband synthesis based techniques exploit the decimated wavelet transform that is not shift-invariant and could result in ringing artifacts in the *** alleviate these artifacts,the directional cycle-spinning（DCS） technique is ***,a new cycle-spinning pattern is proposed according to the sampling pattern of the Bayer CFA *** experiments are conducted to demonstrate that the proposed approach outperforms several approaches.

关键词： color filter array（CFA） cycle-spinning denoising.

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Answer set optimization with dependence based priority propagation

Answer set optimization with dependence based priority propa...

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作者： Zhang, Zhizheng School of Computer Science and Engineering Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University China

ISBN: (纸本)9781577355014

We propose a new interpretation for a certain kind of ASO preference rules to handling prioritized symptoms. Our interpretation is based on the idea of dependence based priority propagation. Then, we present a fixpoint based answer set optimization method under such an interpretation. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Artificial intelligence

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Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images

Fuzzy inference mechanism based automatic elastic registrati...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Deng, Zhaohong Shitong Wang Qun Gao Yonghui Pan School of Digital Media Jiangnan University Jiangsu Wuxi China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu Suzhou China Jiangsu Engineering R and D Center for Information Fusion Software Jiangsu Jiangyin China

ISBN: (纸本)9781612841816

A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e. 2-D PAGE image registration. In this study, according to the characteristics of 2-D gel image registration, a fuzzy-inference-rule based flexible model (FIM-FM) is proposed to model the complex geometric transformation and intensity variation between 2-D gel image pairs. Then, by introducing the concept of motion estimation and the corresponding sum-of-squared-difference (SSD) objective function, the parameter learning rules of the proposed model are derived for registration. Accordingly, an adaptive FIR-FM-based automatic elastic image registration algorithm is presented for 2-D gel image registration here. It is distinguished by its strong ability in approximating complex nonlinear transformation inherited from fuzzy inference and its efficiency and adaptability in obtaining precise model parameters through effective parameter learning rules. Our experiments show that the proposed algorithm is highly effective for registration of 2-D gel images. © 2011 IEEE.

关键词： Fuzzy inference

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A unified framework for locating and recognizing human actions

A unified framework for locating and recognizing human actio...

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作者： Xie, Yuelei Chang, Hong Li, Zhe Liang, Luhong Chen, Xilin Zhao, Debin China Key Laboratory of Intelligent Information Processing CAS China School of Computer Science and Technology Harbin Institute of Technology China

ISBN: (纸本)9781457703942

In this paper, we present a pose based approach for locating and recognizing human actions in videos. In our method, human poses are detected and represented based on deformable part model. To our knowledge, this is the first work on exploring the effectiveness of deformable part models in combining human detection and pose estimation into action recognition. Comparing with previous methods, ours have three main advantages. First, our method does not rely on any assumption on video preprocessing quality, such as satisfactory foreground segmentation or reliable tracking;Second, we propose a novel compact representation for human pose which works together with human detection and can well represent the spatial and temporal structures inside an action;Third, with human detection taken into consideration in our framework, our method has the ability to locate and recognize multiple actions in the same scene. Experiments on benchmark datasets and recorded cluttered videos verified the efficacy of our method. © 2011 IEEE.

关键词： Deformation

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