| Title Page | 1 |
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| Preface | 5 |
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| Contents | 7 |
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| List of Contributors | 16 |
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| Part I Multimedia Information Technology | 21 |
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| Chapter 1 Interseum - From Physical to Virtual Showrooms | 22 |
| Introduction | 22 |
| The Showroom Concept | 24 |
| The Physical Showroom | 24 |
| Concept of the Virtual Showroom Interseum | 27 |
| Conclusions | 31 |
| References | 31 |
| Chapter 2 The Synchronization of the Images Based on Normalized Mean Square Error Algorithm | 33 |
| Introduction | 33 |
| The Principle of the Algorithm of Determination of the Rotation Axis and Angle Based on the NMSE | 38 |
| The Experimental Results | 41 |
| Conclusions | 42 |
| References | 42 |
| Chapter 3 Evaluation of the Separation Algorithm Performance Employing ANNs | 44 |
| Introduction | 44 |
| AMT System Engineered at the MSD | 45 |
| Experiment Lay-Out | 48 |
| Comparative Analysis of the ANN-Based Recognition Results, Subjective Tests and Energy-Based Separation Error Evaluation | 51 |
| Conclusions | 53 |
| References | 53 |
| Chapter 4 Localization of Sound Source Direction in Real Time | 55 |
| Introduction | 55 |
| A and B Formats | 56 |
| Analysis of Soundfield Microphone Operation Principle | 58 |
| Experimental Testing | 60 |
| Conclusions | 63 |
| References | 63 |
| Chapter 5 Dangerous Sound Event Recognition Using Support Vector Machine Classifiers | 64 |
| Introduction | 64 |
| Feature Extraction | 65 |
| Energy-Based Parameters | 65 |
| Transient-Sensitive Parameters | 66 |
| MPEG-7 Features | 67 |
| Building SVM Model | 68 |
| Principles of Support Vector Machine Classification | 68 |
| Parameters of the Model | 70 |
| Classification Results | 70 |
| Conclusions | 71 |
| References | 71 |
| Chapter 6 Noise Tolerant Community Detection Using a Mixed Graph Model | 73 |
| Introduction | 73 |
| Overview of Previous Methods | 74 |
| What to Model by a Graph? | 74 |
| How to Build up the Graph? | 74 |
| How to Define a Group? | 74 |
| The New Algorithm | 76 |
| The Model | 76 |
| Handling Noisy and Missing Data | 77 |
| Finding Cores of Clusters Using Complete Information Vectors | 77 |
| Clustering the Nodes Using a Bipartite Graph and Fuzzy Membership Functions | 78 |
| Test Results | 80 |
| Conclusions | 81 |
| References | 82 |
| Chapter 7 Fuzzy Rule-Based Dynamic Gesture Recognition Employing Camera and Multimedia Projector | 83 |
| Introduction | 83 |
| Study Objectives | 84 |
| System Overview | 85 |
| Methodology | 85 |
| Image Processing | 86 |
| Hand Motion Modeling | 86 |
| Fuzzy Rule-Based Gesture Recognition | 88 |
| Results | 89 |
| Conclusions | 91 |
| References | 92 |
| Chapter 8 Video Structure Analysis and Content-Based Indexing in the Automatic Video Indexer AVI | 93 |
| Introduction | 93 |
| Related Works | 94 |
| Text Structure vs. Video Structure | 96 |
| AVI Automatic Video Indexer | 97 |
| Temporal Segmentation Process | 98 |
| Automatic Scene Detection | 100 |
| Shot Clustering | 100 |
| TV Sports News Categorization | 101 |
| Scene Repetitive Patterns | 102 |
| Final Conclusion and Further Studies | 103 |
| References | 103 |
| Part II Data Processing in Information Systems | 105 |
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| Chapter 9 Acoustic Radar Employing Particle Velocity Sensors | 106 |
| Introduction | 106 |
| Acoustic Particle Velocity Sensors | 107 |
| The Algorithm of the Acoustic Radar | 108 |
| Practical Evaluation of the Acoustic Radar | 109 |
| Measurement Results | 110 |
| The Pure Tone Measurement Results | 110 |
| One-Third Octave Band Noise Measurement Results | 113 |
| The Impulsive Sounds Measurement Results | 114 |
| PTZ Camera Control | 115 |
| Conclusions | 115 |
| References | 115 |
| Chapter 10 Superresolution Algorithm to Video Surveillance System | 117 |
| Introduction | 117 |
| Multiframe Superresolution Algorithm | 118 |
| Superresolution Challenges in Surveillance System | 119 |
| Algorithm | 121 |
| Experiment | 121 |
| Conclusion | 123 |
| References | 124 |
| Chapter 11 Social Network Analysis in Corporate Management | 125 |
| Introduction | 125 |
| Social Network Approach to Corporate Assessment | 126 |
| Social Network Extraction | 126 |
| Comparison with Corporate Hierarchy | 127 |
| Static Analysis of Social Networks | 128 |
| Centralities | 128 |
| Socia
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