[Computer Communications and Networks] Social Media Retrieval || Predicting User Tags in Social Media Repositories Using Semantic Expansion and Visual Analysis

✍ Scribed by Ramzan, Naeem; van Zwol, Roelof; Lee, Jong-Seok; Clüver, Kai; Hua, Xian-Sheng

• Book ID: 120822950
• Publisher: Springer London
• Year: 2012
• Tongue: English
• Weight: 382 KB
• Edition: 2013
• Category: Article
• ISBN: 1447145550
• DOI: 10.1007/978-1-4471-4555-4_7

✦ Synopsis

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.