Deep Learning for Multimedia Processing Applications

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 One begins by introducing the fundamental concepts of
deep learning, providing readers with a solid foundation to understand its relevance in
multimedia processing. 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.