(Ebook PDF) Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition 1st Edition by Uzair Aslam Bhatti, Huang Mengxing, Jingbing Li, Sibghat Ullah Bazai, Muhammad Aamir 1032623349 9781032623344 Full chapter

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ISBN 10:         1032623349
ISBN 13: 978-1032623344
Author:          Uzair Aslam Bhatti, Huang Mengxing, Jingbing Li, Sibghat Ullah Bazai, Muhammad Aamir

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing.

Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos.

Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts.

Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.

Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition 1st Table of contents:

• A Review on Comparative Study of Image-Denoising in Medical Imaging
  Author: Nasir Ishfaq

• Remote Sensing Image Classification: A Comprehensive Review and Applications
  Authors: Uzair Aslam Bhatti, Jingbing Li, Saqib Ali Nawaz, Huang Mengxing, and Raza Muhammad Ahmad

• Deep Learning Framework for Face Detection and Recognition for Dark Faces Using VGG19 with Variant of Histogram Equalization
  Authors: Kirti and Gagandeep

• A 3D Method for Combining Geometric Verification and Volume Reconstruction in a Photo Tourism System
  Authors: Muhammad Sajid Khan and Andrew Ware

• Deep Learning Algorithms and Architectures for Multimodal Data Analysis
  Authors: Anwar Ali Sathio, Prof. Dr. Muhammad Malook Rind, and Dr. Abdullah Lakhan

• Deep Learning Algorithms: Clustering and Classifications for Multimedia Data
  Authors: Anwar Ali Sathio, Prof. Dr. Muhammad Malook Rind, and Dr. Abdullah Lakhan

• A Non-Reference Low-Light Image Enhancement Approach Using Deep Convolutional Neural Networks
  Authors: Ziaur Rahman, Muhammad Aamir, Kanza Gulzar, Jameel Ahmed Bhutto, Muhammad Ishfaq, Zaheer Ahmed Dayo, and Khalid Hussain Mohammadani

• Human Pose Analysis and Gesture Recognition: Methods and Applications
  Authors: Muhammad Haroon, Saud Altaf, Kanza Gulzar, and Muhammad Aamir

• Human Action Recognition Using ConvLSTM with Adversarial Noise and Compressive-Sensing-Based Dimensionality Reduction
  Authors: Mohsin Raza Siyal, Mansoor Ebrahim, Dr. Nadeem Qazi, Syed Hasan Adil, and Kamran Raza

• Application of Machine Learning to Urban Ecology
  Authors: Mir Muhammad Nizamani, Ghulam Muhae-Ud-Din, Qian Zhang, Muhammad Awais, Muhammad Qayyum, Muhammad Farhan, Muhammad Jabran, and Yong Wang

• Application of Machine Learning in Urban Land Use
  Authors: Haili Zhang and Qin Zhou

• Application of GIS and Remote Sensing Technology in Ecosystem Services and Biodiversity Conservation
  Authors: Mir Muhammad Nizamani, Qian Zhang, Ghulam Muhae-Ud-Din, Muhammad Awais, Muhammad Qayyum, Muhammad Farhan, Muhammad Jabran, and Yong Wang

• From Data Quality to Model Performance: Navigating the Landscape of Deep Learning Model Evaluation
  Authors: Muhammad Akram, Wajid Hassan Moosa, and Najiba

• Deep Learning for the Turnover Intention of Industrial Workers: Evidence from Vietnam
  Authors: Nguyen Ngoc Long, Nguyen Ngoc Lam, and Bui Huy Khoi

• Deep Learning for Multimedia Analysis
  Author: Hafiz Gulfam Ahmad Umar

• Challenges and Techniques to Improve Deep Detection and Recognition Methods for Text Spotting
  Authors: Anuj Abraham and Shitala Prasad

• Leaf Classification and Disease Detection Based on R-CCN Deep Learning Approach
  Authors: Tayyab Rehman, Muhammad Sajid Khan, and Noshina Tariq

• Deep Learning for Multimedia Analysis: Applications, Challenges, and Future Directions
  Authors: Dr. Ahmed Mateen Buttar, Muhammad Anwar Shahid, Muhammad Nouman Arshad, and Irfan Ali

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