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Intelligent Wavelet Based Techniques for Advanced Multimedia Applications


Intelligent Wavelet Based Techniques for Advanced Multimedia Applications



von: Rajiv Singh, Swati Nigam, Amit Kumar Singh, Mohamed Elhoseny

CHF 118.00

Verlag: Springer
Format: PDF
Veröffentl.: 27.02.2020
ISBN/EAN: 9783030318734
Sprache: englisch

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Beschreibungen

<p>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.</p>

<p>This book&nbsp;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.</p>
Wavelets and Intelligent Multimedia Applications: An Introduction.- Wavelet Transforms: From Classical to New Generation Wavelets.-&nbsp; 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.
<p></p><p><b>Dr. Rajiv Singh</b> 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).</p>

<p><b>Dr. Swati Nigam</b> 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 research interests include object detection, object tracking and human activity recognition.</p>

<p><b>Dr. Amit Kumar Singh</b> is currently an Assistant Professor with the Computer Science and Engineering Department, National Institute of Technology at Patna (An Institute of National Importance), Patna, India. He has authored over 80 peer-reviewed journal, conference publications, and book chapters. He has authored two books entitled Medical Image Watermarking: Techniques and Applications, Springer, in 2017, and Animal Biometrics: Techniques and Applications, Springer, in 2018. He has also edited three book entitled Smart Networks Inspired Paradigm and approaches in IoT applications, Springer, in 2019, Handbook of Multimedia Information Security: Techniques and Applications, Springer, in 2019, Security in Smart Cities: Models, Applications, and Challenges, Springer, in 2019. He currently serves on the Associate Editor of IEEE ACCESS and Former member of the editorial board of MultimediaTools and Applications (Springer). He has edited various international journal special issues as a Guest Editor, such as IEEE Consumer Electronics Magazine, IEEE Access, Multimedia Tools and Applications, Springer, International Journal of Information Management, Elsevier, Journal of Ambient Intelligence and Humanized Computing, Springer etc. His research interests include data hiding, biometrics, & Cryptography </p>

<p><b>Dr. Mohamed Elhoseny</b> is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University, Egypt, where he is also Director of the Distributed Sensing and Intelligent Systems Lab. Dr. Elhoseny has authored or co-authored over 100 ISI journal articles, conference proceedings, book chapters, and several books published by Springer and Taylor& Francis. His research interests include Network Security, Cryptography, Machine Learning Techniques, and Intelligent Systems. Dr. Elhoseny serves as the Editor-in-Chief of the International Journal of Smart Sensor Technologies and Applications, and as an Associate Editor of several journals such as IEEE Access.<b></b></p><br><p></p>
<p>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.</p><p>This book&nbsp;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.</p>
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

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