Multimedia Data Mining and Analytics Disruptive Innovation

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptiv...

Full description

Saved in:
Bibliographic Details
Main Authors Baughman, Aaron K, Gao, Jiang, Pan, Jia-Yu, Petrushin, Valery A
Format eBook
LanguageEnglish
Published Cham Springer International Publishing AG 2015
Springer International Publishing
Springer
Edition1
Subjects
Artificial Intelligence
Computer Science
Data mining
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Innovation/Technology Management
Multimedia Information Systems
Multimedia systems
Signal, Image and Speech Processing
Online AccessGet full text

Cover

More Information
Summary:This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.
ISBN:9783319149974
3319149970
DOI:10.1007/978-3-319-14998-1