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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.
This book presents medical image watermarking techniques and
algorithms for telemedicine and other emerging applications. This
book emphasizes on medical image watermarking to ensure the
authenticity of transmitted medical information. It begins with an
introduction of digital watermarking, important characteristics,
novel applications, different watermarking attacks and standard
benchmark tools. This book also covers spatial and transform domain
medical image watermarking techniques and their merits and
limitations. The authors have developed improved/novel watermarking
techniques for telemedicine applications that offer higher
robustness, better perceptual quality and increased embedding
capacity and secure watermark. The suggested methods may find
potential applications in the prevention of patient identity theft
and health data management issues which is a growing concern in
telemedicine applications. This book provides a sound platform for
understanding the medical image watermarking paradigm for
researchers in the field and advanced-level students. Industry
professionals working in this field, as well as other emerging
applications demanding robust and secure watermarking will find
this book useful as a reference.
is the first book to set out a range of machine learning methods
for efficient resource management in a large distributed network of
clouds. predictive analytics is an integral part of efficient cloud
resource management, and this book gives a future research
direction to researchers in this domain. it is written by leading
international researchers.
is the first book to set out a range of machine learning methods
for efficient resource management in a large distributed network of
clouds. predictive analytics is an integral part of efficient cloud
resource management, and this book gives a future research
direction to researchers in this domain. it is written by leading
international researchers.
This book covers several futuristic computing technologies like
quantum computing, quantum-dot cellular automata, DNA computing,
and optical computing. In turn, it explains them using examples and
tutorials on a CAD tool that can help beginners get a head start in
QCA layout design. It discusses research on the design of circuits
in quantum-dot cellular automata (QCA) with the objectives of
obtaining low-complexity, robust designs for various arithmetic
operations. The book also investigates the systematic reduction of
majority logic in the realization of multi-bit adders, dividers,
ALUs, and memory.
The field of plasmonics has shown extraordinary capabilities in
realizing highly sensitive and accurate sensors for environmental
monitoring and measurement of biological analytes. The inherent
potential of such devices has led to growing interest worldwide in
commercial fiber optic chemical and biosensors. Optical Sensors for
Biomedical Diagnostics and Environmental Monitoring is an essential
resource for students, established researchers, and industry
developers in need of a reference work on both the fundamentals and
latest advances in optical fiber sensor technology in biomedical
diagnostics and environmental monitoring. The book includes
rigorous theory and experimental techniques of surface plasmon and
lossy mode resonances, as well as real-time sensing applications of
resonance techniques implemented over optical fiber substrate using
bulk layer and/or nanostructures as transducer and sensing layers.
In addition, discussion of various design options for real-time
sensors in environmental monitoring and biomedical diagnostics make
the book approachable to readers from multidisciplinary fields.
This book presents medical image watermarking techniques and
algorithms for telemedicine and other emerging applications. This
book emphasizes on medical image watermarking to ensure the
authenticity of transmitted medical information. It begins with an
introduction of digital watermarking, important characteristics,
novel applications, different watermarking attacks and standard
benchmark tools. This book also covers spatial and transform domain
medical image watermarking techniques and their merits and
limitations. The authors have developed improved/novel watermarking
techniques for telemedicine applications that offer higher
robustness, better perceptual quality and increased embedding
capacity and secure watermark. The suggested methods may find
potential applications in the prevention of patient identity theft
and health data management issues which is a growing concern in
telemedicine applications. This book provides a sound platform for
understanding the medical image watermarking paradigm for
researchers in the field and advanced-level students. Industry
professionals working in this field, as well as other emerging
applications demanding robust and secure watermarking will find
this book useful as a reference.
This book covers several futuristic computing technologies like
quantum computing, quantum-dot cellular automata, DNA computing,
and optical computing. In turn, it explains them using examples and
tutorials on a CAD tool that can help beginners get a head start in
QCA layout design. It discusses research on the design of circuits
in quantum-dot cellular automata (QCA) with the objectives of
obtaining low-complexity, robust designs for various arithmetic
operations. The book also investigates the systematic reduction of
majority logic in the realization of multi-bit adders, dividers,
ALUs, and memory.
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.
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