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E-raamat: Intelligent Interactive Multimedia Systems and Services in Practice

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This research book presents some specific multimedia systems that have been developed and applied in practice. More specifically, it consists of an editorial, an introductory chapter and six chapters as below.

· Use of Multi-attribute Decision Making for Combining Audio-Lingual and Visual-Facial Modalities in Emotion Recognition.

. Cooperative Learning assisted by Automatic Classification within Social Networking Services.

. Improving Peer-to-Peer Communication in e-Learning by Development of an Advanced Messaging System.

· Fuzzy-based Digital Video Stabilization in Static Scenes.

· Development of Architecture, Information Archive and Multimedia Formats for Digital e-Libraries.

· Layered Ontological Image for Intelligent Interaction to extend User Capabilities on Multimedia Systems in a Folksonomy Driven Environment.
1 Intelligent Interactive Multimedia Systems in Practice: An Introduction
1(6)
1.1 Introduction
1(1)
1.2
Chapters Included in the Book
2(2)
1.3 Conclusion
4(3)
Resources
4(1)
KES International
4(1)
KES Conference Series
5(1)
KES Journals
5(1)
Book Series
5(1)
References
6(1)
2 On the Use of Multi-attribute Decision Making for Combining Audio-Lingual and Visual-Facial Modalities in Emotion Recognition
7(28)
2.1 Introduction
8(1)
2.2 Related Work
9(3)
2.2.1 Multi-attribute Decision Making
11(1)
2.3 Aims and Settings of the Empirical Studies
12(5)
2.3.1 Elicitation of Emotions and Creation of Databases
13(3)
2.3.2 Creation of Databases of Known Expressions of Emotions
16(1)
2.3.3 Analysis of Recognisability of Emotions by Human Observers
17(1)
2.4 Empirical Study for Audio-Lingual Emotion Recognition
17(3)
2.4.1 The Experimental Educational Application for Elicitation of Emotions
17(1)
2.4.2 Audio-Lingual Modality Analysis
17(3)
2.5 Empirical Study for Visual-Facial Emotion Recognition
20(4)
2.5.1 Visual-Facial Empirical Study on Subjects
20(1)
2.5.2 Visual-Facial Empirical Study by Human Observers
21(3)
2.6 Discussion and Comparison of the Results from the Empirical Studies
24(3)
2.7 Combining the Results from the Empirical Studies Through MADM
27(5)
2.8 Discussion and Conclusions
32(3)
References
32(3)
3 Cooperative Learning Assisted by Automatic Classification Within Social Networking Services
35(14)
3.1 Introduction
35(2)
3.2 Related Work
37(2)
3.2.1 Social Networking Services
37(1)
3.2.2 Intelligent Computer-Assisted Language Learning
38(1)
3.3 Algorithm of the System Functioning
39(3)
3.3.1 Description of Automatic Classification
39(1)
3.3.2 Optimization Objective and Its Definition
39(1)
3.3.3 Initialization of Centroids
40(1)
3.3.4 Incorporation of Automatic Classification
40(2)
3.4 General Overview of the System
42(2)
3.5 Evaluation of the System
44(2)
3.6 Conclusions and Future Work
46(3)
References
46(3)
4 Improving Peer-to-Peer Communication in e-Learning by Development of an Advanced Messaging System
49(14)
4.1 Introduction
50(1)
4.2 Related Work
51(1)
4.3 Data Analysis System Design
52(4)
4.4 Experimental Results
56(4)
4.5 Conclusions and Future Work
60(3)
References
61(2)
5 Fuzzy-Based Digital Video Stabilization in Static Scenes
63(22)
5.1 Introduction
63(1)
5.2 Related Work
64(2)
5.3 Method of Frame Deblurring
66(2)
5.4 Fuzzy-Based Video Stabilization Method
68(6)
5.4.1 Estimation of Local Motion Vectors
69(3)
5.4.2 Smoothness of GMVs Building
72(1)
5.4.3 Static Scene Alignment
73(1)
5.5 Experimental Results
74(7)
5.6 Conclusion
81(4)
References
82(3)
6 Development of Architecture, Information Archive and Multimedia Formats for Digital e-Libraries
85(18)
6.1 Introduction
85(1)
6.2 Related Work
86(2)
6.3 Overview of Standards and Document Formats
88(3)
6.4 Requirements and Objectives
91(1)
6.5 Proposed Architecture of Digital e-Library Warehouse
92(1)
6.6 Proposed EPUB Format Extensions
93(3)
6.7 Client Software Design and Researches of Vulnerability
96(5)
6.8 Conclusion
101(2)
References
102(1)
7 Layered Ontological Image for Intelligent Interaction to Extend User Capabilities on Multimedia Systems in a Folksonomy Driven Environment
103
7.1 Introduction
103(1)
7.2 Human Based Computation
104(1)
7.2.1 Motivation of Human Contribution
104(1)
7.3 Background of Related Work
105(2)
7.3.1 Object Tracking
106(1)
7.4 Dynamic Learning Ontology Structure
107(5)
7.4.1 Richer Semantics of Attributes
107(1)
7.4.2 Object on Layered Representation
108(2)
7.4.3 Semantic Attributes
110(1)
7.4.4 Attribute Bounding Box Position
111(1)
7.4.5 Attributes Extraction and Sentiment Analysis
111(1)
7.4.6 Folksodriven Bounding Box Notation
112(1)
7.5 Image Analysis and Feature Selection
112(2)
7.5.1 Object Position Detection
113(1)
7.6 Previsions on Ontology Structure
114(1)
7.7 A Case Study: In-Video Advertisement
115(5)
7.7.1 In-Video Advertisement Functionality
116(1)
7.7.2 Web GRP
116(2)
7.7.3 Folksodriven Ontology Prediction for Advertisement
118(1)
7.7.4 In-Video Advertisement Validation
119(1)
7.8 Relevant Resources
120(1)
7.9 Conclusion
120
References
121
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