Multimedia Data Mining and Analytics - Disruptive Innovation (Hardcover)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2015
First published:	2015
Editors:	Aaron K Baughman • Jiang Gao • Jia-Yu Pan • Valery A. Petrushin
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	454
ISBN-13:	978-3-319-14997-4
Categories:	Books > Business & Economics > Business & management > Management of specific areas > Research & development management Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-14997-0
Barcode:	9783319149974

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