Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications - 1st Edition - ISBN: 9780128133149

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

1st Edition

Series Volume Editors: Arun Kumar Sangaiah
Serial Volume Editors: Michael Sheng Zhiyong Z,Zhang
Paperback ISBN: 9780128133149
Imprint: Academic Press
Published Date: 1st August 2018
Page Count: 420
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Table of Contents

  1. Introductory chapter
    2. Computational Intelligence in Multimedia Processing
    3. Multimedia labelling, semantic annotation, and metadata
    4. Cloud-Based Multimedia Services and related applications
    5. Multimedia computing and management in cloud environment
    6. CI Techniques, algorithms and innovative methods for processing multimedia data over the Cloud
    7. Novel approaches and techniques for co-processing of Cloud hosted multimedia big data
    8. Multidimensional visualization systems of multimedia big data on Clouds
    9. Deep learning for multimedia
    10. Big data Centric Computational Intelligence systems
    11. Big data in Social media
    12. Predicative Computational Models for Big Data
    13. Computational Modelling and Data Integration
    14. Large-scale Recommendation Systems and Social Media Systems
    15. Data-Centric Service Modelling for big data services
    16. Adaptive forecasting systems and Proactive Analytics in Big data Era
    17. Big data infrastructure designs to support Big data Science
    18. Computational Intelligence enabling innovative big data applications

Description

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering.

It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.

Key Features

  • Presents a brief overview of computational intelligence paradigms and its significant role in application domains
  • Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches
  • Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing
  • Provides new advances in the fields of CI for bio-engineering application</LI></UL>

Readership

Researchers and PhD who want to understand and explore the application of computational intelligence aspects for design and development of data centric system in the context of multi-media cloud, big data era and its related applications such as smarter health care, homeland security, bio engineering systems, robotics and intelligent assistance etc.


Details

No. of pages:
420
Language:
English
Copyright:
© Academic Press 2018
Published:
Imprint:
Academic Press
Paperback ISBN:
9780128133149

Ratings and Reviews


About the Series Volume Editors

Arun Kumar Sangaiah Series Volume Editor

Michael Sheng is a full Professor and Deputy Head of the School of Computer Science at the University of Adelaide. Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and has 6-yearexperience as a senior software engineer in industries. Prof Sheng has more than 265 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in leading journals and conferences. He is one of the top-ranked authors in the "World Wide Web" research area by Microsoft Academic Search. Prof Michael Sheng is the recipient of the ARC (Australian Research Council) Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

Affiliations and Expertise

School of Computer Science, The University of Adelaide, Australia

About the Serial Volume Editors

Michael Sheng Serial Volume Editor

Quan Z. (Michael) Sheng is currently a full Professor and Head of Department of Computing, at Macquarie University. Prof. Sheng has more than 10 years' research and development experience in the Internet of Things (IoT) and related areas such as service-oriented computing, radio frequency identification (RFID), sensor networks, and big data analytics. He has published more than 280 publications in these areas and is one of the top-ranked authors in the "World Wide Web" research area according to Microsoft Academic Search. Prof. Michael Sheng is the recipient to a number of prestigious awards including ARC Future Fellowship in 2014, Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

Affiliations and Expertise

Professor and Head of Department of Computing, Macquarie University, Sydney, Australia

Zhiyong Z,Zhang Serial Volume Editor

Prof. Zhiyong Zhang received his Master, Ph.D. degrees in Computer Science from Dalian University of Technology and Xidian University, respectively. He was a Post-Doctoral Research Fellow at Xi'an Jiaotong University, China. He is currently a full Henan Province Distinguished Professor and Dean with Department of Computer Science, College of Information Engineering, Henan University of Science & Technology. Prof. Zhang is a visiting professor of Computer Science Department, Iowa State University. He is an ACM Senior Member, IEEE Senior Member, IEEE Systems, Man, Cybernetics Society Technical Committee on Soft Computing, World Federation on Soft Computing Young Researchers Committee, Membership for Digital Rights Management Technical Specialist Workgroup Attached to China National Audio, Video, Multimedia System and Device Standardization Technologies Committee. Prof. Zhang’s research interests include multimedia social networks and digital rights management, applied soft computing, trusted computing, as well as security risk management. He has published over 80 scientific papers and four books on the above research fields, and held 8 granted patents.

Affiliations and Expertise

Dean, Department of Computer Science, Henan University of Science and Technology, China