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MultiMedia and Information Technology, 2008. MMIT '08. International Conference on

Date 30-31 Dec. 2008

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Displaying Results 1 - 25 of 218
  • [Front cover]

    Publication Year: 2008 , Page(s): C1
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  • [Title page i]

    Publication Year: 2008 , Page(s): i
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  • [Title page iii]

    Publication Year: 2008 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2008 , Page(s): iv
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  • Table of contents

    Publication Year: 2008 , Page(s): v - xvii
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  • Message from MMIT 2008 Conference Chairs

    Publication Year: 2008 , Page(s): xviii
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  • list-reviewer

    Publication Year: 2008 , Page(s): xix
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  • Organizing Committee

    Publication Year: 2008 , Page(s): xx
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  • Research on Merger and Acquisition Reorganization Patterns of Textile Industry

    Publication Year: 2008 , Page(s): 3 - 6
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (174 KB) |  | HTML iconHTML  

    After more than 20 years development, merger and acquisition has become more and more popular and gradually becomes the main tool for enterprises to adjust the industrial structure and optimize the allocation of resources. M&A has three patterns: vertical, horizontal and mixed. Enterprises should consider the effect of internal and external environment and related constraints in choosing M&... View full abstract»

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  • Behavior Authentication Technology Using Digital Watermark

    Publication Year: 2008 , Page(s): 7 - 10
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (817 KB) |  | HTML iconHTML  

    Digital works are considered as research focus in most existing digital copyright protection schemes. But the customers not the digital works have active aggressiveness. That is to say the customers are the fundamental reason of copyright protection problem. So customers should be monitored moreover. The existing identity authentication could verify the legitimacy of customers. But it can not dist... View full abstract»

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  • Implementation of G.729 Codec Based on DaVinci Technology

    Publication Year: 2008 , Page(s): 11 - 14
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (351 KB) |  | HTML iconHTML  

    As the widely application of digital multi-media technology, G.729 has become one of the most popular audio standards. In this paper, the TMS320DM6446 which is a Davinci-based multi-core processor is chosen as our platform. We present our implementation method of G.729 algorithm which is compatible with eXpress DSP algorithm interface standard - digital media (xDAIS-DM, also called "xDM") to explo... View full abstract»

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  • A Tree-Based Multi-class SVM Classifier for Digital Library Document

    Publication Year: 2008 , Page(s): 15 - 18
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (156 KB) |  | HTML iconHTML  

    In this paper, we present a new method of using support vector machine (SVM) for multiclass classification. In our method, we use a tree based SVM classifier for classification. Compared with the other SVM multi-class classification methods in literature (i.e. one-against-one, DAGSVM), our proposed SVM tree classifier is more efficient in both training/classification. Our new SVM tree classifier r... View full abstract»

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  • Application of Neural Networks Optimized by Genetic Algorithm in Forecasting Electric Field Aging Technics

    Publication Year: 2008 , Page(s): 19 - 21
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (268 KB) |  | HTML iconHTML  

    In the study, back-propagation neural networks (BP-NN) theory and genetic algorithm (GA) were used to build a nonlinear prediction model reflecting the relationship between technics parameters of electric field aging and mechanical properties of LY12 aluminum alloy. In this model, electric field intensity, aging temperature and time were as input parameters. Tensile strength, yield strength and mi... View full abstract»

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  • High-Speed Packet Classification with Efficient Parallel Range Match for IP Network Applications

    Publication Year: 2008 , Page(s): 22 - 25
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (272 KB) |  | HTML iconHTML  

    Packet classification has been critical data path function for supporting quality of service (QoS), resource reservation protocol (RSVP) and broad range of multimedia services. Hardware based solution is necessary to keep up with high-speed rate up to OC192 processing. However, the range match in multi-fields classification is still one of the bottleneck problems. In this paper, a novel structure ... View full abstract»

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  • A Novel Logic Analysis Method with AI-Fuzzy VCR

    Publication Year: 2008 , Page(s): 26 - 29
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (255 KB) |  | HTML iconHTML  

    Logic Analysis Method (LAM) always was realized with some n-Figures binary numbers, its FM (Figures' Module) is the lowest in all FCN (Fixed Carrying Numbers), and all FCN are ones of special VCN (Variable Carrying Numbers). All Numbers' Value of VCN is very fuzzy, because their VCR (Variable Carrying Rules) may be designed in Artificial Intelligence (AI). FPGA is a new material Programmable Logic... View full abstract»

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  • IFN Application in BFS of Artificial Intelligence

    Publication Year: 2008 , Page(s): 30 - 33
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (256 KB) |  | HTML iconHTML  

    Breadth-first Searches (BFS) were both traditional & classical blind searching technique in artificial intelligence (AI). Variable Carrying Numbers (VCN) is a broad concept of numbers in number theory. AI-fuzzy VCN (IFN) is a mixture numbers with different Figures' Module (FM) in a same n-Figures number. Fixed Carrying Numbers (FCN) is only ones of special VCN. This paper makes an analyzing &a... View full abstract»

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  • IFN Application in DFS of Artificial Intelligence

    Publication Year: 2008 , Page(s): 34 - 38
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (250 KB) |  | HTML iconHTML  

    Depth-first searches (DFS) were both traditional & classical blind searching technique in artificial intelligence (AI). Variable carrying numbers (VCN) is a broad concept of numbers in number theory. AI-fuzzy VCN (IFN) is a mixture numbers with different figures' module (FM) in a same n-figures number. Fixed carrying numbers (FCN) is only ones of special VCN. This paper makes an analyzing &... View full abstract»

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  • A Hybrid Metaheuristic Algorithm for the Logistics Routing-Loading Scheduling Problem

    Publication Year: 2008 , Page(s): 39 - 42
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (329 KB) |  | HTML iconHTML  

    In this paper a logistics transportation problem including routing, scheduling and loading tasks is presented. Most of the related works only involve the solution of routing and scheduling, as a combination of up to six different types of VRPs (Rich VRP), leaving away the loading task, which are not enough to define more complex real-world cases. We propose a solution methodology for transportatio... View full abstract»

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  • Track Articulated Body Motion by Pose-Model Based Stochastic Search

    Publication Year: 2008 , Page(s): 43 - 46
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (471 KB) |  | HTML iconHTML  

    Articulated body motion tracking remains a challenge problem as its high-dimension and the dependence between the joint freedoms. In this paper we present a novel framework to achieve articulated body motion (walking in this paper) tracking by the use of pose-model based stochastic search algorithm which partitions the state space into two pars(pose and noise) and then processes recursively. Besid... View full abstract»

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  • The Research of Ant Colony and Genetic Algorithm in Grid Task Scheduling

    Publication Year: 2008 , Page(s): 47 - 49
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (295 KB) |  | HTML iconHTML  

    Task scheduling is one of the core problems in grid computing. How to accomplish tasks quickly and efficiently to meet users' requirements has always been being a hot issue in the fileds of theoretical and applied research. The algorithm presented in this paper is based on the ant colony algorithm and genetic algorithm. It realizes scheduling optimization for grid tasks by studying and exploring o... View full abstract»

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  • An Efficient Web Query Optimization Algorithm Based on LDA and MA

    Publication Year: 2008 , Page(s): 50 - 53
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (237 KB) |  | HTML iconHTML  

    With the explosive growth in the Web documents, retrieving document from the large-scale document database has become one of the most active research fields in data mining communities. Thus, developing an efficient document query optimization algorithm to retrieval Web document is of great importance. An efficient document query optimization algorithm based on linear discriminant analysis(LDA) and... View full abstract»

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  • Application of PSO-Based Neural Network in Quality Assessment of Construction Project

    Publication Year: 2008 , Page(s): 54 - 57
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (246 KB) |  | HTML iconHTML  

    Construction project quality management, the basis of construction management, is crucial for construction firms to survive and grow in the industry. This paper presents the adoption of a particle swarm optimization (PSO) model to train perceptrons in assessment and predicting the quality of construction projects in China. Artificial neural network (ANN) has preeminent learning ability, but often ... View full abstract»

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  • A Fast Algorithm for Linearly Constrained Quadratic Programming Problems with Lower and Upper Bounds

    Publication Year: 2008 , Page(s): 58 - 61
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (275 KB) |  | HTML iconHTML  

    There are many applications related to linearly constrained quadratic programs subjected to upper and lower bounds. Lower bounds and upper bounds are treated as different constraints by common quadratic programming algorithms. These traditional treatments significantly increase the computation of quadratic programming problems. We employ pivoting algorithm to solve quadratic programming models. Th... View full abstract»

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  • A Novel Intra Refreshment Algorithm for ROI

    Publication Year: 2008 , Page(s): 62 - 65
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (314 KB) |  | HTML iconHTML  

    The importance of video sequences varied with the regions, and human visual sensitivity too varied with the importance of region of video sequences, so the subjective quality requirement of region of interest (ROI) was not the same as non-ROI. Traditional intra refreshment algorithm didn't consider the human visual characteristics, and it cost much more bits, but the subjective quality was still v... View full abstract»

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  • A Novel FNN Algorithm and Its Application on M&A Performance Evaluation Based on Kirkpatrick Model

    Publication Year: 2008 , Page(s): 66 - 69
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (268 KB) |  | HTML iconHTML  

    The mergers and acquisitions (M&A) performance measurement is an important tool to test the M&A effects, evaluate the validity of M&A decision-making, and which is an important part in the M&A management. But how to measure the M&A performance is a major issue that troubled many enterprises. This paper overcomes the shortcoming of tradition linear M&A measuring methods, pro... View full abstract»

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