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Multimedia Big Data Computing for IoT Applications

Concepts, Paradigms and Solutions

  • Examines the unique nature and complexity of MMBD computing for IoT applications
  • Includes of case studies to demonstrate the process model
  • Discusses the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 163)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiv
  2. Technological Developments

    1. Front Matter

      Pages 1-1
    2. Introduction to Multimedia Big Data Computing for IoT

      • Sharmila, Dhananjay Kumar, Pramod Kumar, Alaknanda Ashok
      Pages 3-36
    3. An Architecture for the Real-Time Data Stream Monitoring in IoT

      • Mario José Diván, María Laura Sánchez Reynoso
      Pages 59-100
    4. Deep Learning for Multimedia Data in IoT

      • Srinidhi Hiriyannaiah, B. S. Akanksh, A. S. Koushik, G. M. Siddesh, K. G. Srinivasa
      Pages 101-129
  3. Multimedia Big Data Analytics

    1. Front Matter

      Pages 161-161
    2. Intelligent Personality Analysis on Indicators in IoT-MMBD-Enabled Environment

      • Rohit Rastogi, D. K. Chaturvedi, Santosh Satya, Navneet Arora, Piyush Trivedi, Akshay Kr. Singh et al.
      Pages 185-215
    3. Data Reduction in MMBD Computing

      • Yosef Hasan Jbara
      Pages 217-245
    4. Large-Scale MMBD Management and Retrieval

      • Manish Devgan, Deepak Kumar Sharma
      Pages 247-267
    5. Data Reduction Technique for Capsule Endoscopy

      • Kuntesh Jani, Rajeev Srivastava
      Pages 269-285
  4. Societal Impact of Multimedia Big Data

    1. Front Matter

      Pages 287-287
    2. Multimedia Social Big Data: Mining

      • Akshi Kumar, Saurabh Raj Sangwan, Anand Nayyar
      Pages 289-321
    3. Advertisement Prediction in Social Media Environment Using Big Data Framework

      • Krishna Kumar Mohbey, Sunil Kumar, Vartika Koolwal
      Pages 323-341
    4. MMBD Sharing on Data Analytics Platform

      • Manish Devgan, Deepak Kumar Sharma
      Pages 343-366
    5. Legal/Regulatory Issues for MMBD in IoT

      • Prateek Pandey, Ratnesh Litoriya
      Pages 367-388
  5. Application Environments

    1. Front Matter

      Pages 389-389

About this book

This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms. 

Editors and Affiliations

  • Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, India

    Sudeep Tanwar

  • Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, Patiala, India

    Sudhanshu Tyagi

  • Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, Patiala, India

    Neeraj Kumar

About the editors

Sudeep Tanwar is an Associate Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and assessment of fog computing in BASN. He has authored three books: Routing in Heterogeneous Wireless Sensor Networks (ISBN: 978-3-330-02892-0), Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IAENG, ISTE, and CSTA.
 
Dr. Sudhanshu Tyagi is an Assistant Professor in the Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. Hereceived his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks; and a Master’s degree in Technology with honors in Electronics & Communication Engineering in 2005 from the National Institute of Technology, Kurukshetra, India. His research focuses on wireless sensor networks and body area sensor networks. He has co-authored two books:Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IEEE, IAENG, ISTE, and CSTA.
 
Dr. Neeraj Kumar is currently an Associate Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. He received his Ph.D. degree in Computer Science and Engineering from Shri Mata Vaishno Devi University, India, in 2009. He was then a Postdoctoral Research Fellow at Coventry University, U.K. His research focuses on distributed systems, security and cryptography and body area networks. He is on the editorial board of the Journal of Network and Computer Applications and the International Journal of Communication Systems. He has published more than 150 research papers in leading journals and conferences in the areas of communications, security and cryptography. He is also a member of the IEEE and IEEE ComSoc.

Bibliographic Information

Buy it now

Buying options

eBook USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access