Scalable Video Coding in Content-Aware Networks: Research Challenges and Open Issues

Michael Grafl (1) , Christian Timmerer (2) , Hermann Hellwagner (1) , Daniel Negru (3) , Eugen Borcoci (4) , Daniele Renzi (5) , Anne-Lore Mevel (6) , Alex Chernilov (7)

1 Universität Klangenfurt
2 ITEC - Information Technology [Klagenfurt]
3 LaBRI - Laboratoire Bordelais de Recherche en Informatique
4 Computer Science Department [Bucarest]
5 EPFL - Ecole Polytechnique Fédérale de Lausanne
6 TH-VN - Thomson Video Networks
7 Optibase

The demand for access to advanced, distributed media resources is nowadays omnipresent due to the availability of Internet connectivity almost anywhere and anytime, and of a variety of different devices. This calls for rethinking of the current Internet architecture by making the network aware of which content is actually transported. This paper introduces Scalable Video Coding (SVC) as a tool for Content-Aware Networks (CANs) which is currently researched as part of the EU FP7 ALICANTE project. The architecture of ALICANTE with respect to SVC and CAN is presented, use cases are described, and finally research challenges and open issues are discussed.

Domaines: Réseaux et télécommunications [cs.NI]; Multimédia [cs.MM]

Michael Grafl, Christian Timmerer, Hermann Hellwagner, Daniel Negru, Eugen Borcoci, et al.. Scalable Video Coding in Content-Aware Networks: Research Challenges and Open Issues. Trustworthy Internet, Springer, pp.349-358, 2011, 978-88-470-1817-4. ⟨10.1007/978-88-470-1818-1_26⟩. ⟨hal-00748547⟩