Multimedia Data Mining and Analytics: Disruptive Innovation - Couverture souple

 
9783319347219: Multimedia Data Mining and Analytics: Disruptive Innovation
Couverture souple
ISBN 10 : 3319347217 ISBN 13 : 9783319347219
Editeur : Springer, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Aaron K. Baughman is a member of the Special Events Group at IBM (USA) for World Wide Sports. Previously, he was Technical Lead on a DeepQA Embed Research project that included an instance of the Jeopardy! Challenge.

Jiang (John) Gao is a Principal Scientist in the Advanced Development and Technology Group at Nokia USA, working on multimedia and mobile applications, data mining and computer vision.

Jia-Yu Pan is a software engineer at Google (USA), working on data mining and anomaly detection in big data.

Valery A. Petrushin is a Principal Scientist in the Research and Development Group at Opera Solutions (USA). His previous publications include the successful Springer title Multimedia Data Mining and Knowledge Discovery.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2016
Langue
anglais
ISBN 10 
3319347217
ISBN 13 
9783319347219
Reliure
Broché
Nombre de pages
468
Éditeur
Baughman Aaron K., Gao Jiang, Pan Jia-Yu, Petrushin Valery A.
Coordonnées du fabricant
ProductSafety@springernature.com
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Allemagne

Autres éditions populaires du même titre

9783319149974: Multimedia Data Mining and Analytics: Disruptive Innovation

Edition présentée

ISBN 10 :  3319149970 ISBN 13 :  9783319149974
Editeur : Springer International Publishin..., 2015
Couverture rigide