عنوان

Machine learning in multimedia

Qualification

(ebook)

Qualification

(hardback)

Qualification

(paperback)

(Number (ISBN

9781003477280

Erroneous ISBN

9781032761480

Erroneous ISBN

9781032761473

Number

7207

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Machine learning in multimedia

General Material Designation

[electronic resources]

Other Title Information

unlocking the power of visual and auditory intelligence

First Statement of Responsibility

edited by Suman Kumar Swarnkar... [et al.].

Edition Statement

First edition.

Place of Publication, Distribution, etc.

Boca Raton, FL

Name of Publisher, Distributor, etc.

CRC Press

Date of Publication, Distribution, etc.

2025.

Specific Material Designation and Extent of Item

xvi, 154 pages

Other Physical Details

illustrations, tables.

Series Title

Innovations in multimedia, virtual reality, and augmentation

Text of Note

editors: Suman Kumar Swarnkar, Annu Sharma, J. Somasekar, and Bharat Bhushan.

Text of Note

Includes bibliographical references and index.

Text of Note

Machine learning techniques for accurate prediction and detection of chronic diseases / Suman Punia, Yudhvir Singh, Neha Gulati.

0

Text of Note

"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"--

Place of Publication

Boca Raton, FL : CRC Press, 2025

Edition Statement

First edition.

Title

Machine learning in multimedia

International Standard Book Number

9781032761480

Bibliographic Record Identifier

(DLC) 2024026811

Entry Element

Multimedia data mining.

Entry Element

Machine learning.

Entry Element

Medical informatics.

Subject Term

Medical informatics.

Entry Element

Swarnkar, Suman,

Relator Code

Editor

Country

ایران

Agency

Central Library of the Kurdistan University

Date of Transaction

20250415081303.0

Cataloguing Rules (Descriptive Conventions))

rda

e

BL

280328

a

Y