Autor: |
N. Sarris, Y. Liu, J. Geurts, Nicolaus Heise, Matthias Klusch, Ayse Göker, Sotiris Diplaris, Georgios Petkos, E. Jaho, Symeon Papadopoulos, David Corney, Jochen Spangenberg, Ioannis Kompatsiaris |
Rok vydání: |
2014 |
Předmět: |
|
Zdroj: |
International Broadcasting Convention (IBC) 2014 Conference. |
DOI: |
10.1049/ib.2014.0014 |
Popis: |
This paper presents a real-time system that incorporates emerging knowledge from social media using crawling and mining techniques, developed within the SocialSensor FP7 project, that are designed for addressing the particularities of social Web. The surfaced information is presented using an interface that is optimized and adapted to the context of the user, taking into account efficient content delivery techniques to optimize quality of experience and enhance user interaction. Research approaches are discussed, particularly focusing in social media analytics, trending topic detection, multimedia indexing and search, and efficient social content delivery and service coordination in mobile settings. We also discuss how these new methodologies are incorporated to build novel tools for the News and Infotainment domains. |
Databáze: |
OpenAIRE |
Externí odkaz: |
|