Intelligent Wavelet Based Techniques for Advanced Multimedia Applications, 1st ed. 2020

This book contains high-quality research articles and reviews that promote research and reflect the most recent advances in intelligent wavelet based techniques for advanced multimedia applications as well as other emerging areas. In recent time, wavelet transforms have become useful in many signal, image and video processing applications, especially for multimedia security and surveillance. A few applications of wavelets in security and surveillance are watermarking, fusion, steganography, object detection, tracking, motion recognition and intention recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution analysis. The multiresolution analysis is advantageous in multimedia security and surveillance applications. It provides flexibility in selection of different resolution levels that leads to better accuracy. Furthermore, recently sparse representation has become an advancement to analyze wavelet coefficients. It is observed that wavelet transforms possess the invariance property which makes them suitable for many vision applications.

This book provides a concise overview of the current state of the art and disseminates some of the novel and exciting ideas and techniques. In addition, it is also helpful for the senior undergraduate and graduate students, researcher, academicians, IT professional and providers, citizens, customers as well as policy makers working in this area as well as other emerging applications demanding state-of-the-art wavelet based multimedia applications.

Wavelets and Intelligent Multimedia Applications: An Introduction.- Wavelet Transforms: From Classical to New Generation Wavelets.-  An Overview of Medical Image Fusion in Complex Wavelet Domain.- Integration of Wavelet Transforms for Single and Multiple Image Watermarking.- On Wavelet Domain Video Watermarking Techniques.- Object Tracking.- Camouflaged Person Identification.- Wavelets for Activity Recognition.- Biometric Recognition of Emotions Using Wavelets.- Intelligent Multimedia Applications in Wavelet Domain: New Trends and Future Research Directions.

Dr. Rajiv Singh is an Assistant Professor at the Department of Computer Science, Banasthali Vidyapith, Rajasthan, India. He has received Doctor of Philosophy in Computer Science from Department of Electronics and Communication, University of Allahabad, India. His research areas of interests are information fusion, computational cognitive science, medical image processing, computer vision, context aware computing, and information security. He has published more than twenty five papers in refereed conferences and journals. He has served as reviewer for reputed journals like Information Fusion, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Industrial Electronics, IEEE Transactions on Computational Imaging, The Visual Computer and many conferences. He is a professional member of IEEE, ACM and a life member of Computer Society of India (CSI).

Dr. Swati Nigam is currently an Assistant Professor at the Department of Computer Science, Banasthali Vidyapith, Rajasthan, India. She has been a Post Doctoral Fellow under National Post Doctoral Fellowship scheme of Science and Engineering Research Board, Department of Science and Technology, Government of India. Earlier she has been awarded Senior Research Fellowship by Council of Scientific and Industrial Reaserach, Government of India. She has been awarded PhD degree in Computer Science from Department of Electronics and Communication, University of Allahabad, India in 2015. She has authored more than 20 articles in peer-reviewed journals, book chapters and conference proceedings. She is a designated reviewer of several SCI journals like IEEE Access, Computer Vision and Image Understanding, Journal of Electronic Imaging, etc. She has been publication chair, publicity chair, TPC member and reviewer of various conferences. She is a professional member of IEEE and ACM. Her researc

Offers state-of-the art techniques, development and innovative use of wavelet for demanding multimedia applications

Highlights the recent study on intelligent wavelet in multimedia and addresses essential models, applications, and challenges

Focuses on identifying new directions to academic professionals, aspiring practitioners and scientists, policymakers and legislators