Supervised and Unsupervised Data Engineering for Multimedia Data

Table of Contents
Series Page
Title Page
Copyright Page
Dedication
Book Description
List of Figures
List of Tables
Preface
1 SLRRT: Sign Language Recognition in Real Time
	1.1 Introduction
	1.2 Literature Survey
	1.3 Model for Sign Recognition Language
	1.4 Experimentation
	1.5 Methodology
	1.6 Experimentation Results
	1.7 Conclusion
	Future Scope
	References
2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data (Feature extraction with feature selection for Image Forgery Detection)
	2.1 Introduction
	2.2 Problem Definition
	2.3 Proposed Methodology
	2.4 Experimentation and Results
	2.5 Feature Selection & Pre-Trained CNN Models Description
	2.6 BAT ELM Optimization Results
	Conclusion
	Declarations
	Consent for Publication
	Conflict of Interest
	Acknowledgement
	References
3 Multimedia Data in Healthcare System
	3.1 Introduction
	3.2 Recent Trends in Multimedia Marketing
	3.3 Challenges in Multimedia
	3.4 Opportunities in Multimedia
	3.5 Data Visualization in Healthcare
	3.6 Machine Learning and its Types
	3.7 Health Monitoring and Management System Using Machine Learning Techniques
	3.8 Health Monitoring Using K-Prototype Clustering Methods
	3.9 AI-Based Robotics in E-Healthcare Applications Based on Multimedia Data
	3.10 Future of AI in Health Care
	3.11 Emerging Trends in Multimedia Systems
	3.12 Discussion
	References
4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm
	Introduction
	Literature Survey
	System Design
	Result and Discussion
	Conclusion
	References
5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture
	5.1 Introduction
	5.2 Background
	5.3 Applications of Machine Learning Algorithms in Agriculture
	References
6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map
	6.1 Introduction
	6.2 Medical Image Encryption Using 2D Tent and Logistic Chaotic Function
	6.3 Simulation Results and Discussion
	6.4 Conclusion
	Acknowledgement
	References
7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective
	7.1 Introduction
	7.2 Literature Survey on Video and Movie Recommender Systems
	7.3 Feature-Based Solutions for Movie and Video Recommender Systems
	7.4 Fusing: EF – (Early Fusion) and LF – (Late Fusion)
	7.5 Experimental Setup
	7.6 Conclusions
	References
8 Sensory Perception of Haptic Rendering in Surgical Simulation
	Introduction
	Methodology
	Background Related Work
	Application
	Case Study
	Future Scope
	Result
	Conclusion
	Acknowledgement
	References
9 Multimedia Data in Modern Education
	Introduction to Multimedia
	Traditional Learning Approaches
	Applications of Multimedia in Education
	Conclusion
	References
10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery
	Introduction
	Test Datasets
	Methodology
	Statistical Accuracy Investigations
	Results and Discussion
	Conclusion
	References
11 A Python-Based Machine Learning Classification Approach for Healthcare Applications
	Introduction
	Methodology
	Discussion
	References
12 Supervised and Unsupervised Learning Techniques for Biometric Systems
	Introduction
	Various Biometric Techniques
	Major Biometric-Based Problems from a Security Perspective
	Supervised Learning Methods for Biometric System
	Unsupervised Learning Methods for Biometric System
	Conclusion
	References
About the Editors
Index
Also of Interest
End User License Agreement