Deep Learning for Multimedia Processing Applications: Volume Two: Signal Processing and Pattern Recognition [Paperback]

This book is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Volumes Two delves into advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks, explaining their unique capabilities in multimedia tasks.?

1.?A Review on Comparative Study of Image-Denoising in Medical Imaging?Nasir Ishfaq. 2.?Remote Sensing Image Classification: A Comprehensive Review and Applications?Uzair Aslam Bhatti, Jingbing Li, Saqib Ali Nawaz, Huang Mengxing, and Raza Muhammad Ahmad. 3.?Deep learning framework for Face Detection and Recognition for Dark Faces using VGG19 with Variant of Histogram Equalization?Kirti and Gagandeep. 4.?A 3D Method for combining Geometric Verification and Volume Reconstruction in a Photo Tourism system?Muhammad Sajid Khan and Andrew Ware. 5.?Deep Learning Algorithms and Architectures for Multimodal Data Analysis?Anwar Ali Sathio, Prof. Dr. Muhammad Malook Rind, and Dr. Abdullah Lakhan. 6.?Deep Learning Algorithms - Clustering and Classifications for Multimedia Data?Anwar Ali Sathio, Prof. Dr. Muhammad Malook Rind, and Dr. Abdullah Lakhan. 7.?A Non-Reference Low-Light Image Enhancement Approach using Deep Convolutional Neural Networks?Ziaur Rahman, Muhammad Aamir, Kanza Gulzar, Jameel Ahmed Bhutto, Muhammad Ishfaq, Zaheer Ahmed Dayo, and Khalid Hussain Mohammadani. 8.?Human Pose Analysis and Gesture Recognition: Methods and Applications
Muhammad Haroon, Saud Altaf, Kanza Gulzar, and Muhammad Aamir. 9.?Human Action Recognition Using ConvLSTM with Adversarial Noise and Compressive-Sensing-Based Dimensionality Reduction Concise and Informative?Mohsin Raza Siyal, Mansoor Ebrahim, Dr.Nadeem Qazi, Syed Hasan Adil, and Kamran RazalCM