Deep Learning for Multimedia Processing Applications : Signal Processing and Pattern Recognition, Hardcover by Bhatti, Uzair Aslam (EDT); Mengxing, Huang (EDT); Li, Jingbing (EDT); Bazai, Sibghat Ullah (EDT); Aamir, Muhammad (EDT), ISBN 1032623349, ISBN-13 9781032623344, Brand New, Free shipping in the US

"Deep Learning for Multimedia Processing 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 will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. Th 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, th 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 newpossibilities in multimedia applications. Lastly, th explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout th, 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 is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data"--