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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 ?nger 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 levelstudents studying computer science, specifically security and multimedia will find this book useful as a reference.
Anand Mohan has nearly 42 years rich experience of teaching, research, administration and managing higher educational institutions. He began his career in December 1975 as R & D Engineer of Murphy India Ltd., Thane, Maharastra and subsequently joined as faculty in April 1979 at Electronics Engineering, Institute of Technology-now IIT (BHU), where he is currently working as Institute Professor. Prof. Mohan has provided national level leadership to the defense related R & D activities as Chairman, Armament Sensors & Electronics (ASE) Panel under ARMREB, DRDO, Ministry of Defense, Govt. of India. As part of a doctoral research, he has developed a potential technology for application in 'Neutron Detection Reader' system for defense applications. Prof. Mohan has active research collaboration with Louisiana State University, USA, CurtinUniversity, Malaysia, Kathmandu University, Nepal and Central Electronics Engineering Research Laboratory (CEERI), Pilani, Rajsthan. Prof. Mohan has made notable academic and research contributions in the field of Electronics Engineering at IIT (BHU) by creating a dedicated research group of eminent academicians and researchers from the country and abroad. He has established state-of-the-art research facilities and conducted high quality research in the areas of fault tolerant / survivable system design, steganography, and embedded system design. His current areas of research interest are intelligent instrumentation, fault tolerant design, robust watermarking algorithms, and information security. He has authored 145 research papers published in reputed international / national journals and conference proceedings. He has supervised 11 Ph. D. theses and made four chapter contributions in books. His Co-authored book 'Medical Image Watermarking: Techniques and Applications' has been published by Springer. Academic and research contributions of Prof. Mohan are internationally / nationally acknowledged.
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