Swarnkar S. Machine Learning in Multimedia. Unlocking the Power...2025.pdf

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Machine Learning
in Multimedia
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.
Innovations in Multimedia, Virtual Reality and Augmentation
Series Editors:
Rashmi Agrawal
Professor, Manav Racna International Institute of Research and Studies
Lalit Mohan Goyal
J.C. Bose Univ. of Sci. and Tech.
Data Visualization and Storytelling with Tableau
Edited By Mamta Mittal, Nidhi Grover Raheja
Multimedia Data Processing and Computing
Edited By Suman Swarnkar, J P Patra, Tien Anh Tran, Bharat Bhushan,
Santosh Biswas
Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical
images
Edited By S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam,
Farheen Siddiqui
Multimedia Computing Systems and Virtual Reality
Edited By Rajeev Tiwari, Neelam Duhan, Mamta Mittal, Abhineet Anand,
Muhammad Attique Khan
Advanced Sensing in Image Processing and IoT
Edited By Rashmi Gupta, Arun Kumar Rana, Sachin Dhawan, Korhan Cengiz
Data Visualization and Storytelling with Tableau
Mamta Mittal and Nidhi Grover Raheja
Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory
Intelligence
Edited by Suman Kumar Swarnkar, Annu Sharma, J. Somasekar,
and Bharat Bhushan
For more information about this series, please visit: www.routledge.com/Innovations-
in-Multimedia-Virtual-Reality-and-Augmentation/book-series/IMVRA
Unlocking the Power of Visual and
Auditory Intelligence
Machine Learning
in Multimedia
Edited by
Suman Kumar Swarnkar, Annu Sharma,
J. Somasekar, and Bharat Bhushan
Designed cover image: www.shutterstock.com (stock photo ID: 2365813093)
First edition published 2025
by CRC Press
2385 NW Executive Center Drive, Suite 320, Boca Raton FL 33431
and by CRC Press
4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN
CRC Press is an imprint of Taylor & Francis Group, LLC
© 2025 selection and editorial matter, Suman Kumar Swarnkar, Annu Sharma,
J. Somasekar, and Bharat Bhushan; individual chapters, the contributors
Reasonable efforts have been made to publish reliable data and information, but the
author and publisher cannot assume responsibility for the validity of all materials or
the consequences of their use. The authors and publishers have attempted to trace
the copyright holders of all material reproduced in this publication and apologize to
copyright holders if permission to publish in this form has not been obtained. If any
copyright material has not been acknowledged please write and let us know so we
may rectify in any future reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted,
reproduced, transmitted, or utilized in any form by any electronic, mechanical, or
other means, now known or hereafter invented, including photocopying, microfilming,
and recording, or in any information storage or retrieval system, without written
permission from the publishers.
For permission to photocopy or use material electronically from this work, access
www.copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222
Rosewood Drive, Danvers, MA 01923, 978–750–8400. For works that are not
available on CCC please contact mpkbookspermissions@tandf.co.uk
Trademark notice:
Product or corporate names may be trademarks or registered
trademarks and are used only for identification and explanation without intent to
infringe.
ISBN: 978-1-032-76148-0 (hbk)
ISBN: 978-1-032-76147-3 (pbk)
ISBN: 978-1-003-47728-0 (ebk)
DOI: 10.1201/9781003477280
Typeset in Times New Roman
by Apex CoVantage, LLC

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