Multimedia Data Mining and Analytics: Disruptive Innovation

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 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. Autor: Aaron K. Baughman, Jiang Gao Wydawnictwo: Springer Rok wydania: 2015 Okładka: twarda Liczba stron: 454 Wymiary: 15.5 x 23.5 x 2.5 cm Ilustracje: 48 Tables, black and white; 153 Illustrations, color; 35 Illustrations, black and white; XIV, 454 p. 188 illus., 153 illus. in color. Język: angielski ISBN: 9783319149974