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.
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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.
Social media is now ubiquitous on the internet, generating both new possibilities and new challenges in information analysis and retrieval.
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.
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Researchers and students interested in social media retrieval will find this book a valuable resource, covering a broad overview of state-of-the-art research and emerging trends in this area. The text will also be of use to practicing engineers involved in envisioning and building innovative social media applications and services.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 496 pp. Englisch. Bestandsnummer des Verkäufers 9781447159711
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how multimedia content analysis, personalization, and next-generation networking can be integrated to produce robust and personalized multimedia servicesOffers practical step-by-step walkthroughs relating to the development of multime. Bestandsnummer des Verkäufers 447761221
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Taschenbuch. Zustand: Neu. Social Media Retrieval | Naeem Ramzan (u. a.) | Taschenbuch | xii | Englisch | 2015 | Springer | EAN 9781447159711 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 104907093
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