110,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: introduces the fundamentals of social media retrieval, presenting the most important areas of…mehr

Produktbeschreibung
This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: introduces the fundamentals of social media retrieval, presenting the most important areas of research in this domain; examines the important topic of multimedia tagging in social environments, including geo-tagging; discusses issues of personalization and privacy in social media; reviews advances in encoding, compression and network architectures for the exchange of social media information; describes a range of applications related to social media.
Autorenporträt
Dr. Naeem Ramzan is a Senior Researcher at Queen Mary University of London, UK. Dr. Roelof van Zwol is Director of Product Information, Search at Netflix, USA. Dr. Jong-Seok Lee is an Assistant Professor at Yonsei University, South Korea. Dr. Kai Clüver is a Research Associate at the Technical University of Berlin, Germany. Dr. Xian-Sheng Hua is a Lead Researcher at Microsoft, USA.
Rezensionen
"The book is very well written and easy to read, with many data elements, including tables, graphs, and images, some in full color. There is also a rich collection of references at the end of each paper." (Xiannong Meng, ACM Computing Reviews, May 21 2013, Review #: CR141230)