Intelligent Interactive Multimedia Systems and Services in Practice

Smart innovation, systems, and technologies

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This research book presents some specific multimedia systems that have been developed and applied in practice. More specifically, it consists of an editorial, an introductory chapter and six chapters as below.

· Use of Multi-attribute Decision Making for Combining Audio-Lingual and Visual-Facial Modalities in Emotion Recognition.

. Cooperative Learning assisted by Automatic Classification within Social Networking Services.

. Improving Peer-to-Peer Communication in e-Learning by Development of an Advanced Messaging System.

· Fuzzy-based Digital Video Stabilization in Static Scenes.

· Development of Architecture, Information Archive and Multimedia Formats for Digital e-Libraries.

· Layered Ontological Image for Intelligent Interaction to extend User Capabilities on Multimedia Systems in a Folksonomy Driven Environment.

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About the author

Jain is director/founder of the Knowledge-Based Intelligent Engineering Systems Centre, located in the Division of Information Technology, Engineering and the Envvironment. He is a fellow of the Institution of Engineers, Australia.

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Additional Information

Publisher
Springer
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Published on
Apr 28, 2015
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Pages
122
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ISBN
9783319177441
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Language
English
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Genres
Computers / Intelligence (AI) & Semantics
Computers / Networking / General
Computers / Online Services
Technology & Engineering / General
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Content Protection
This content is DRM protected.
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This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities. The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.

Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.

This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.

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