04241cam a2200529 i 4500 9781003477280 FlBoTFG 20251030122252.0 m o d cr cnu---unuuu 240622t20252025flua ob 001 0 eng OCoLC-P eng rda OCoLC-P 9781003477280 electronic book 1003477283 electronic book 9781040226537 electronic book 1040226531 electronic book 9781040226421 (electronic bk. : PDF) 1040226426 (electronic bk. : PDF) 9781032761480 hardcover 9781032761473 paperback 10.1201/9781003477280 doi (OCoLC)1468585208 (OCoLC-P)1468585208 QA76.9.D343 M334 2025 Machine learning in multimedia : unlocking the power of visual and auditory intelligence / edited by Suman Kumar Swarnkar, Annu Sharma, J. Somasekar, and Bharat Bhushan. First edition. Boca Raton, FL : CRC Press, 2025. ©2025 1 online resource (xvi, 154 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Innovations in multimedia, virtual reality and augmentation Machine learning techniques for accurate prediction and detection of chronic diseases / Suman Punia, Yudhvir Singh, Neha Gulati. "This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain, where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless. This book will be helpful to computer science, data science, and artificial intelligence, researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Multimedia data mining. 94999 Machine learning. 55059 Medical informatics. 60693 Swarnkar, Suman, editor. 95000 Innovations in multimedia, virtual reality and augmentation. 95001 Taylor & Francis https://www.taylorfrancis.com/books/9781003477280 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 67946 67946