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Shot Transition Detection Based on Locally Linear Embedding

Shot Transition Detection Based on Locally Linear Embedding

2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

作者： MaoSheng Fu DaMing Zhang Min Kong Bin Luo Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei230039. P. R. China Department of Computer Science and Technology in West Anhui University Anhui Lu'an 237012. P. R. China

ISBN: (纸本)9781424450015

Detection of shot transitions servers as the preliminary step to video indexing and retrieval. Locally linear embedding (LLE) algorithm fails when it is applied to video with multi-shot. In this paper, we present a novel framework of shot transitions detection. The method involves two processes: First we extract the manifold feature of shot transition using LLE through addition of virtual frames on an enriched set, and then they are classified by *** show that the recognition rate of shot transition is reached over 90％.

关键词： shot transition detection locally linear embedding feature extraction

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Solving NP-complete problems by spiking neural P systems with budding rules

Solving NP-complete problems by spiking neural P systems wit...

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10th International Workshop on Membrane computing, WMC 2009

作者： Ishdorj, Tseren-Onolt Leporati, Alberto Pan, Linqiang Wang, Jun Computational Biomodelling Laboratory Åbo Akademi University Department of Information Technologies 20520 Turku Finland Università degli Studi di Milano - Bicocca Dipartimento di Informatica Sistemistica e Comunicazione Viale Sarca 336/14 20126 Milano Italy Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Research Group on Natural Computing Department of CS and AI University of Sevilla Avda Reina Mercedes s/n 41012 Sevilla Spain

ISBN: (纸本)3642114660

Inspired by the growth of dendritic trees in biological neurons, we introduce spiking neural P systems with budding rules. By applying these rules in a maximally parallel way, a spiking neural P system can exponentially increase the size of its synapse graph in a polynomial number of computation steps. Such a possibility can be exploited to efficiently solve computationally difficult problems in deterministic polynomial time, as it is shown in this paper for the NP-complete decision problem sat. © 2010 Springer-Verlag.

关键词： Computational complexity

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Adaptive generic learning for face recognition from a single sample per person

Adaptive generic learning for face recognition from a single...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Yu Su Shiguang Shan Xilin Chen Wen Gao School of Computer Science and Technology Harbin Institute of Technology China Digital Media Research Center Institute of Computing Technology CAS China Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences China Institute for Digital Media Peking University China

Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the database. In this case, many of the popular face recognition methods fail to work well due to the inability to learn the discriminatory information specific to the persons to be identified. To address this problem, in this paper, we propose an Adaptive Generic Learning (AGL) method, which adapts a generic discriminant model to better distinguish the persons with single face sample. As a specific implementation of the AGL, a Coupled Linear Representation (CLR) algorithm is proposed to infer, based on the generic training set, the within-class scatter matrix and the class mean of each person given its single enrolled sample. Thus, the traditional Fisher's Linear Discriminant (FLD) can be applied to SSPP task. Experiments on the FERET and a challenging passport face database show that the proposed method can achieve better results compared with other common solutions to the SSPP problem.

关键词： Face recognition Principal component analysis Linear discriminant analysis Computer science Content addressable storage Laboratories Deductive databases Information processing Scattering Image databases

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Predicting RNA secondary structure with Tabu Search

Predicting RNA secondary structure with Tabu Search

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IEEE International Conference on Cognitive Informatics

作者： Yongguo Liu Jianrui Hao Jun Peng Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Xiangtan China School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China College of Electronic Information Engineering Chongqing University of Science and Technology Chongqing China

In this paper, a novel method for predicting RNA secondary structure called RNA secondary structure prediction based on Tabu Search (RNATS) is proposed. In RNATS, two search models, intensification search and diversification search, are designed to exploit the local regions around the current solution and explore the unvisited space, respectively. Simulation experiments are conducted for six RNA sequences to show that the proposed method is feasible and effective.

关键词： RNA Computer simulation Space exploration Neodymium Nickel Laboratories

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Non-rigid object reconstruction based on multiview images: A survey

Non-rigid object reconstruction based on multiview images: A...

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Congress on Image and signal processing, CISP

作者： Zhi Liu Hongjun Wang Qingli Li Shi Jun Key Laboratory of Intelligent Computing & Information Processing Ministry of Education China School of Information Science and Engineering Shandong University Jinan China School of Information Science East China Jiao Tong University Shanghai China Shandong Institute of Light Industry Jinan China

In this paper we review the major approaches to nonrigid object reconstruction based on multi-view images. It tries to reflect the profile of this area by focusing more on those subjects that have been given more importance in the literature. In this context most of the paper is devoted to present all kinds of approaches for non-rigid object reconstruction based on multiview images. A number of references are provided that describe applications of non-rigid object reconstruction based on multiview images The paper ends by addressing some important issues and open questions that can be subject of future research.

关键词： Image reconstruction Three dimensional displays Shape Computational modeling Visualization Solid modeling Geometry

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Design and implementation of the Zigbee-based body sensor network system

Design and implementation of the Zigbee-based body sensor ne...

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5th International Conference on Wireless Communications, Networking and Mobile computing, WiCOM 2009

作者： Chengcheng, Ding Xiaopei, Wu Zhao, Lv Key Laboratory of Intelligent Computing and Signal Processing China Anhui University Hefei Anhui Province

ISBN: (纸本)9781424436934

Tranditionally the medical monitoring used in hospital brought a lot inconvenience because of the complex wires between patients and equipments. In order to solve these problems, a human health wireless monitoring system based on Zigbee wireless communications is proposed. The system proposes multiple wireless physiological sensors to form a expandable wireless sensor network system architecture. Then the structure of the system used in wireless sensor nodes is introduced and the purpose is to collect the patients' physiological information, such as pulse, temperature, basically realize remote medical monitoring for patients. This system can not only realize accurate measurement of indicators, but also save the patients' travel between home and the hospital. ©2009 IEEE.

关键词： Zigbee

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Design and implementation of an improved BCI System based on alpha rhythm

Design and implementation of an improved BCI System based on...

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3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

作者： Bing, Wei Xiaopei, Wu Daoxin, Zhang Key Laboratory of Intelligent Computing and Signal Processing China of Anhui University Hefei Anhui Province China

ISBN: (纸本)9781424429028

This paper introduces an improved BCI system based on alpha rhythm, the main composition units of the system are electrodes, acquisition circuit, online detecting algorithm and outer devices. For improving the performance of BCT systems, a new algorithms for alpha wave detection is proposed, which can reduce EEG baseline wandering and energy fluctuation efficiently and make the BCI system work more stable. Based on the BCI system, experiments of media player control are carried out among different subjects, which show that the system has an excellent performance in alpha wave detection and real-time controlling. ©2009 IEEE.

关键词： Brain computer interface

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A Spectrum Based Algorithm for Image Classification

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电子学报(英文版) 2009年第3期18卷 427-430页

作者： WANG Nian ZHANG Jiang TANG Jun FAN Yizheng LIANG Dong Key Laboratory of Intelligent Computing and Signal Processing Anhui University Education Ministry Hefei 230039 China Hefei Teachers College Hefei 230601 China Department of Mathematics Anhui University Hefei 230039 China

In this paper, a novel algorithm for image classification is presented which uses the projective value of adjacency spectrum as classified samples. Firstly, the eigenvalues of adjacency matrices constructed on the feature point-sets of images are obtained by singular value decomposition. Secondly, the eigenvalues are projected onto the eigenspace by means of the covariance matrix. Finally, image classification is performed by adopting RBF and PNN neural networks as classifiers respectively. Meanwhile, some theoretical analyses are given to support the proposed method.

关键词：图像分类分类算法神经网络分类器矩阵特征值奇异值分解协方差矩阵射影分类特征空间

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Risk analysis of system security based on evidence theory

Risk analysis of system security based on evidence theory

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International Conference on Computer Design and Applications (ICCDA)

作者： Peida Xu Yong Deng Jianling Xu Xiaoyan Su Key Laboratory of Digital Agricultural Early-warning Technology Ministry of Agriculture of China Beijing China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University China School of Electronics & Information Technology Shanghai Jiaotong University China School of Electronics & Information Technology Shanghai Jiaotong University Shanghai China Hangzhou Key Laboratory of E-Business and Information Security Hangzhou Normal University Shanghai Zhejiang China Grain Economics Institute Nanjing University of Finance and Economics Nanjing China

ISBN: (纸本)9781424471645;9781424471638

Risk evaluation is very important to the design and improvement of physical protection systems. In this paper, an evaluation method of multi-source information fusion is proposed based on the D-S evidence theory. In the proposed method, each individual component of the protection system in the simulated plane is modeled. Then, the threat report of each component according to the specific tactics is determined based on its real environment. Finally, the comprehensive threat distribution is obtained based on through the D-S evidence theory to combine multi-sources information. The proposed method can easily applied to the evaluation of the effectiveness of the protection system. We make the total threat of the protection system lowest through changes of the protection resources allocation. A numerical example is used to illustrate the efficiency of the proposed method.

关键词： Risk analysis Protection Information security Information technology Computer security Laboratories Environmental economics Educational technology Agriculture Finance

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Algorithm and axiomatization of rough fuzzy sets based finite dimensional fuzzy vectors

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中国高等学校学术文摘·计算机科学 2009年第4期3卷 560-568页

作者： Mingfen WU School of Information Science Wuyi UniversityJiangmen 529020China Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190Ch

Rough sets,proposed by Pawlak and rough fuzzy sets proposed by Dubois and Prade were expressed with the different computing formulas that were more complex and not conducive to computer operations,In this paper,we use the composition of a fuzzy matrix and fuzzy vectors in a given non-empty finite universal,constitute an algebraic system composed of finite dimensional fuzzy vectors and discuss some properties of the algebraic system about a basis and *** give an effective calculation representation of rough fuzzy sets by the inner and outer products that unify computing of rough sets and rough fuzzy sets with a *** basis of the algebraic system play a key role in this *** give some essential properties of the lower and upper approximation operators generated by reflexive,symmetric,and transitive fuzzy *** reflexive,symmetric,and transitive fuzzy relations are charac terized by the basis of the algebraic system.A set of axioms,as the axiomatic approach,has been constructed to characterize the upper approximation of fuzzy sets on the basis of the algebraic system.

关键词： fuzzy vector fuzzy matrix fuzzy relation operation basis lower and upper approximation rough fuzzy sets unary operator

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