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Shulph Ink

Multimedia Technologies in the Internet of Things Environment, Volume 3

Multimedia Technologies in the Internet of Things Environment, Volume 3

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  • More about Multimedia Technologies in the Internet of Things Environment, Volume 3

This book provides a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications, covering theoretical and practical approaches, multimedia communication, deep learning models, and IoT frameworks. It bridges the gap between multimedia concepts and solutions and highlights the future directions in multimedia IoT analytics.

Format: Hardback
Length: 228 pages
Publication date: 05 April 2022
Publisher: Springer Verlag, Singapore

This book offers a comprehensive exploration of the cutting-edge research in multimedia analysis within IoT applications. Serving as a third volume by esteemed editors, it delves into both theoretical and practical aspects of multimedia and IoT applications, performance analysis, and emerging technologies such as multimedia communication, deep learning models for multimedia data, and IoT-oriented approaches. By providing a holistic framework for multimedia data, IoT, and smart computing techniques, it bridges the gap between multimedia concepts and their practical implementations. It highlights current IoT frameworks, their applications in multimedia analysis, the strengths and limitations of existing methods, and prospects for future advancements in multimedia IoT analytics. This resource is invaluable for researchers, practitioners, and professionals seeking to stay at the forefront of this rapidly evolving field.


Introduction:
The Internet of Things (IoT) has witnessed a remarkable growth in recent years, driven by the proliferation of connected devices and the increasing demand for intelligent systems. With the integration of multimedia capabilities into IoT devices, there has been a growing interest in exploring the potential of multimedia analysis in IoT applications. This book aims to provide a comprehensive overview of the state-of-the-art research work in this field.
Theoretical and Practical Approach:
The book adopts a theoretical and practical approach, offering a comprehensive coverage of multimedia analysis in IoT applications. It begins by introducing the fundamental concepts and principles of multimedia, including image, video, and audio processing, as well as their applications in IoT. The editors then delve into the practical aspects of multimedia analysis, including data acquisition, preprocessing, feature extraction, and classification.
Multimedia Communication:
One of the key areas of focus in the book is multimedia communication in IoT. It explores the challenges and opportunities associated with transmitting and receiving multimedia data in IoT environments. The editors discuss various communication protocols, network topologies, and encryption techniques used in multimedia communication, and provide insights into the optimization of multimedia transmission in IoT networks.
Deep Learning Models to Multimedia Data:
Deep learning models have gained significant popularity in recent years for their ability to analyze and interpret complex multimedia data. The book explores the use of deep learning models in multimedia analysis, including image recognition, speech recognition, and video analysis. It discusses the advantages and limitations of these models, as well as the techniques used to train and evaluate them.
IoT-Oriented Approaches:
In addition to traditional multimedia analysis techniques, the book also discusses IoT-oriented approaches to multimedia analysis. It explores the integration of multimedia analysis with other IoT technologies, such as sensor networks, wireless communication, and cloud computing. The editors discuss the challenges and opportunities associated with these integrations, and provide examples of successful applications in various domains.
Functional Framework:
The book addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It provides a comprehensive overview of the various frameworks, tools, and libraries used in multimedia analysis, IoT, and smart computing. The editors also highlight the key research areas and open challenges in this field, providing guidance.
Conclusion:
In conclusion, this book offers a valuable resource for researchers, practitioners, and professionals seeking to explore the potential of multimedia analysis in IoT applications. It provides a comprehensive overview of the state-of-the-art research work in this field, covering theoretical and practical aspects, multimedia communication, deep learning models, IoT-oriented approaches, and a functional framework. By bridging the gap between multimedia concepts and their practical implementations, this book serves as a valuable guide for those seeking to advance their knowledge and expertise in this rapidly evolving area.

Weight: 530g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811909238
Edition number: 1st ed. 2022

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