Handbook of Multimedia Information Security: Techniques and Applications için kapak resmi
Handbook of Multimedia Information Security: Techniques and Applications
Başlık:
Handbook of Multimedia Information Security: Techniques and Applications
Yazar:
Singh, Amit Kumar. editor.
ISBN:
9783030158873
Edisyon:
1st ed. 2019.
Fiziksel Niteleme:
XVI, 808 p. 396 illus., 162 illus. in color. online resource.
İçindekiler:
Preface -- Froward -- Table of Contents -- Part 1 Multimedia Security -- 1. Information to Multimedia Tools and Applications -- 2. An overview of Biometrics Methods -- 3. SIE: An application to secure Stereo Images using Encryption -- 4. Example based Privacy-Preserving Video Color Grading -- 5. A novel Watermarking Technique for Multimedia Security -- 6. A Secure Medical Image Watermarking Technique for E-Healthcare Applications -- 7. Hybrid Transforms based Oblivious Fragile Watermarking Techniques -- 8. Performance Analysis of Invariant Quaternion Moments in Color Image Watermarking -- 9. Security Biometric and Biomedical Images using Sparse Domain based Watermarking Technique -- 10. Performance Analysis of Image Encryption Methods using Chaotic, Multiple Chaotic and Hyper-Chaotic Maps -- 11. Perceptual Hash function for images based on Hierarchical Ordinal Pattern -- 12. Hash Function based Optimal Blockchain Model for the Internet of Things -- 13. An Adaptive and Viable Face Identification for Android Mobile Devices -- 14. Realization of Chaos-Based Private Multiprocessor Network via USART of Embedded Devices -- 15. Robust and Secure Hiding Scheme for Open Channel Transmission of Digital Images -- Part II Multimedia Processing -- 1. Image Processing based Automated Glaucoma Detection Techniques and Role of De-noising: A Technical Survey -- 2. A Study on Dictionary Learning based Image Reconstruction Techniques for Big Medical Data -- 3. Quantum Image Processing and its Applications -- 4. 3-D Shape Reconstruction Based CT Image Enhancement -- 5. A segmentation-less Efficient Alzheimer Detection Approach using Hybrid Image Features -- 6. On Video based Human Abnormal Activity Detection with Histogram of Oriented Gradients -- 7. Enhancement and De-noising of OCT Image by Adaptive Wavelet Thresholding Method -- 8. Quantization Table Selection using Firefly with Teaching and Learning based Optimization Algorithm for Image Compression -- 9. Wavelet Packet Based CT Image De-noising Using Bilateral Method and Bayes Shrinkage Rule -- 10. Automated Detection of Eye Related Diseases using Digital Image Processing -- 11. Detector and descriptor based Recognition and Counting of Objects in Real Time Environments -- Part III Multimedia Applications -- 1. Role of Multimedia in Medicine: Study of Visual Prosthesis -- 2. Finger Biometrics for e-Health Security -- 3. ECG Security Challenges: Case Study on Change of ECG According to Time for User Identification -- 4. An Efficient Lung Image Classification using GDA based Feature Reduction and Tree Classifier -- 5. Analysis of Streaming Data using Big Data and Hybrid Machine Learning Approach -- 6. Deep Neural Networks for Human Behavior Understanding -- 7. Digital Image Forensics-Gateway to Authenticity: Crafted with Observations, Trends and Forecasts -- 8. Resources Allocation in Co-operative Relay Networks for IOT Driven Broadband Multimedia Processing -- 10. Internet of Things for Healthcare: System Architecture, Predictive Analysis and Potential Challenges -- 11. Internet of Things with Blockchain Technology: State-of-the-art and Potential Challenges.
Özet:
This handbook is organized under three major parts. The first part of this handbook deals with multimedia security for emerging applications. The chapters include basic concepts of multimedia tools and applications, biological and behavioral biometrics, effective multimedia encryption and secure watermarking techniques for emerging applications, an adaptive face identification approach for android mobile devices, and multimedia using chaotic and perceptual hashing function. The second part of this handbook focuses on multimedia processing for various potential applications. The chapter includes a detail survey of image processing based automated glaucoma detection techniques and role of de-noising, recent study of dictionary learning based image reconstruction techniques for analyzing the big medical data, brief introduction of quantum image processing and it applications, a segmentation-less efficient Alzheimer detection approach, object recognition, image enhancements and de-noising techniques for emerging applications, improved performance of image compression approach, and automated detection of eye related diseases using digital image processing. The third part of this handbook introduces multimedia applications. The chapter includes the extensive survey on the role of multimedia in medicine and multimedia forensics classification, a finger based authentication system for e-health security, analysis of recently developed deep learning techniques for emotion and activity recognition. Further, the book introduce a case study on change of ECG according to time for user identification, role of multimedia in big data, cloud computing, the Internet of things (IoT) and blockchain environment in detail for real life applications. This handbook targets researchers, policy makers, programmers and industry professionals in creating new knowledge for developing efficient techniques/framework for multimedia applications. Advanced level students studying computer science, specifically security and multimedia will find this book useful as a reference.