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Multimedia Big Data Computing for IoT Applications

Concepts, Paradigms and Solutions

  • Sudeep Tanwar
  • Sudhanshu Tyagi
  • Neeraj Kumar
Textbook

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Technological Developments

    1. Front Matter
      Pages 1-1
    2. Sharmila, Dhananjay Kumar, Pramod Kumar, Alaknanda Ashok
      Pages 3-36
    3. Mario José Diván, María Laura Sánchez Reynoso
      Pages 59-100
    4. 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. Rohit Rastogi, D. K. Chaturvedi, Santosh Satya, Navneet Arora, Piyush Trivedi, Akshay Kr. Singh et al.
      Pages 185-215
    3. Yosef Hasan Jbara
      Pages 217-245
    4. Manish Devgan, Deepak Kumar Sharma
      Pages 247-267
    5. Kuntesh Jani, Rajeev Srivastava
      Pages 269-285
  4. Societal Impact of Multimedia Big Data

    1. Front Matter
      Pages 287-287
    2. Akshi Kumar, Saurabh Raj Sangwan, Anand Nayyar
      Pages 289-321
    3. Krishna Kumar Mohbey, Sunil Kumar, Vartika Koolwal
      Pages 323-341
    4. Manish Devgan, Deepak Kumar Sharma
      Pages 343-366
    5. Prateek Pandey, Ratnesh Litoriya
      Pages 367-388
  5. Application Environments

    1. Front Matter
      Pages 389-389
    2. Pallavi Asthana, Bramah Hazela
      Pages 417-433
    3. Anupam Singh, Satyasundara Mahapatra
      Pages 435-452
    4. Rohit Sharma, Pankaj Agarwal, Rajendra Prasad Mahapatra
      Pages 453-477

About this book

Introduction

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.

Keywords

Multimedia tools & applications Multimedia data mining and analytics Data warehousing Multimedia enabled sensors in IoT Interactive multimedia documents Big data analytics Cloud computing Cognitive computing Hadoop

Editors and affiliations

  • Sudeep Tanwar
    • 1
  • Sudhanshu Tyagi
    • 2
  • Neeraj Kumar
    • 3
  1. 1.Department of Computer Science and EngineeringInstitute of Technology, Nirma UniversityAhmedabadIndia
  2. 2.Department of Electronics and Communication EngineeringThapar Institute of Engineering and Technology, Deemed UniversityPatialaIndia
  3. 3.Department of Computer Science and EngineeringThapar Institute of Engineering and Technology, Deemed UniversityPatialaIndia

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