Deep Learning for Multimedia Processing Applications

Deep Learning for Multimedia Processing Applications
Author :
Publisher : CRC Press
Total Pages : 481
Release :
ISBN-10 : 9781003828051
ISBN-13 : 1003828051
Rating : 4/5 (51 Downloads)

Book Synopsis Deep Learning for Multimedia Processing Applications by : Uzair Aslam Bhatti

Download or read book Deep Learning for Multimedia Processing Applications written by Uzair Aslam Bhatti and published by CRC Press. This book was released on 2024-02-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Related Books

Deep Learning for Multimedia Processing Applications
Language: en
Pages: 481
Authors: Uzair Aslam Bhatti
Categories: Computers
Type: BOOK - Published: 2024-02-21 - Publisher: CRC Press

DOWNLOAD EBOOK

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of
Deep Learning for Image Processing Applications
Language: en
Pages: 284
Authors: D.J. Hemanth
Categories: Computers
Type: BOOK - Published: 2017-12 - Publisher: IOS Press

DOWNLOAD EBOOK

Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two discipli
Machine Learning Techniques for Multimedia
Language: en
Pages: 297
Authors: Matthieu Cord
Categories: Computers
Type: BOOK - Published: 2008-02-07 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the
Deep Learning for Multimedia Processing Applications
Language: en
Pages: 0
Authors: Uzair Aslam Bhatti
Categories: Computers
Type: BOOK - Published: 2024-02-12 - Publisher: CRC Press

DOWNLOAD EBOOK

This book is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Volumes Two delves
Machine Learning for Multimedia Content Analysis
Language: en
Pages: 282
Authors: Yihong Gong
Categories: Computers
Type: BOOK - Published: 2007-09-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia cont