| Preface | 5 |
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| Contents | 7 |
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| List of Contributors | 14 |
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| Part I Multimedia Information Technology | 14 |
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| 19 | 14 |
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| Fuzzy Rule-Based Classifier for Content-Based Image Retrieval | 14 |
| 20 | 14 |
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| Introduction | 20 |
| Fuzziness | 22 |
| Fuzzy Sets | 22 |
| Fuzzy Rule-Based Classifiers | 22 |
| Graphical Data Representation | 24 |
| Classification Results | 25 |
| Further Use of Classified Objects in CBIR | 28 |
| Conclusions | 28 |
| References | 29 |
| Decentralized Multi-Agent Algorithm for Translational 2D Image Alignment | 29 |
| 31 | 29 |
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| Introduction | 31 |
| Problem Statement | 33 |
| Proposed Solution | 33 |
| Estimation of Computational Complexity | 37 |
| Experiments | 37 |
| Conclusions | 39 |
| References | 40 |
| A Sparse Reconstruction Approach to Video Deinterlacing | 40 |
| 41 | 40 |
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| Introduction | 41 |
| Background | 43 |
| Proposed Method | 44 |
| Experimental Results | 46 |
| Conclusion | 48 |
| References | 48 |
| Cartographic Representation of Route Reconstruction Results in Video Surveillance System | 48 |
| 50 | 48 |
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| Introduction | 50 |
| Related Work | 51 |
| Proposed Method | 51 |
| Topology of Camera Network | 51 |
| Obtaining Contextual Data | 52 |
| Architecture of the System | 53 |
| Augmenting Cartographic Data | 54 |
| Results | 55 |
| Conclusion | 57 |
| References | 58 |
| Visual Objects Description for Their Re-identification in Multi-Camera Systems | 58 |
| 60 | 58 |
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| Introduction | 60 |
| Object Tracking | 62 |
| Single Camera Object Tracking | 62 |
| Multi-Camera Object Tracking | 62 |
| Object Description Methods | 63 |
| Experiments | 64 |
| Dataset Preparation | 65 |
| Feature Evaluation | 66 |
| Summary | 68 |
| References | 68 |
| Compact Descriptor for Video Sequence Matching in the Context of Large Scale 3D Reconstruction | 68 |
| 70 | 68 |
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| Introduction | 70 |
| RelatedWork | 71 |
| Compact Descriptor and Matching | 72 |
| Computation of Compact Descriptor | 72 |
| Computation of Similarity Measure | 73 |
| Computation of Image Occurrence Statistics | 74 |
| Computation of Matching Frames | 75 |
| Results | 76 |
| Conclusions and Future Work | 78 |
| References | 79 |
| Headlines Usefulness for Content-Based Indexing of TV Sports News | 79 |
| 80 | 79 |
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| Introduction | 80 |
| Related Works | 82 |
| Book Structure vs. TV Sports News Structure | 82 |
| AVI Automatic Video Indexer | 85 |
| Structure of TV Sports News | 85 |
| Headlines in TV Sports News | 87 |
| Final Conclusions and Further Studies | 89 |
| References | 90 |
| Examining Classifiers Applied to Static Hand Gesture Recognition in Novel Sound Mixing System | 92 |
| Introduction | 92 |
| System Overview | 93 |
| Examining Classifiers Performance | 95 |
| Tests | 95 |
| Results | 96 |
| Conclusions | 100 |
| References | 100 |
| Part II Information Systems Specification | 100 |
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| 102 | 100 |
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| Multiple Data Tables Processing via One-Sided Concept Lattices | 100 |
| 103 | 100 |
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| Introduction | 103 |
| Preliminaries on One-Sided Concept Lattices | 104 |
| Closure Operator Defined by Multiple Data Tables | 107 |
| Conclusions | 112 |
| References | 112 |
| A Multi-attribute and Logic-Based Framework of Ontology Alignment | 112 |
| 113 | 112 |
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| Introduction | 113 |
| Basic Notions | 115 |
| Attribute-Based Concept Alignment | 116 |
| RelatedWorks | 117 |
| Evaluation Methodology | 118 |
| Summary and Future Works | 121 |
| References | 122 |
| Application of an Ontology-Based Model to a Wide-Class Fraudulent Disbursement Economic Crimes | 122 |
| 123 | 122 |
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| Introduction | 123 |
| The Model | 125 |
| Set of Rules | 127 |
| Queries | 130 |
| Conclusions | 130 |
| References | 131 |
| Modelling Failures of Distributed Systems in Stochastic Process Algebras | 131 |
| 133 | 131 |
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| Introduction | 133 |
| Basic Definitions | 135 |
| Stochastic Process Algebras | 135 |
| Basic Failures in Distributed Systems | 135 |
| Modelling Failures | 136 |
| C
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