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| Electronic Engineering > Contact > People > Michele Sanna | ||||||||||||||||||||||||||||||||||||||||||||
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Michele Sanna
Contact DetailsTitle: Research StudentTel: National: 020 7882 7135 International: +44 20 7882 7135 Fax: National: 020 7882 7997 International: +44 20 7882 7997 Room: Eng 153 Email: Research Group: Multimedia and Vision Research Group Supervisor: Prof Ebroul Izquierdo Research interests: Scalable Video Coding, Channel Coding, Network Coding, Video Streaming, Numeric Data Transmission. Research Topic: Joint Source-Channel-Network Coding of Video The future scenario in video content distribution will serve multiple platforms where the quality of the received signal and the display and energy supply capabilities can be deeply different (e.g., mobile users, home users). Scalable Video Coding is a coding paradigm that, thanks to a hierarchical decomposition of the video signal in terms of frame rate, spatial resolution and quality, allows decoding multiple versions of the video from the same source bit-stream. Network coding introduces a new concept of networking. By combining the information at the intermediate nodes, the network can achieve the theoretical capacity and enables a form of coding that takes place at the time of the exchange of the information between the network nodes as well as at the source-receiver sides. Our system provides a streaming of scalable video to a set of heterogeneous users. The coding properties of the network are studied to exploit the nature of the SVC stream. Network coding for error correction adds a plethora of possibilities for achieving superior robustness against channel impairments, thanks to spatio-temporal coding redundancy. In particular Joint Source-Channel-Network Coding allows achieves a superior quality experienced by the user, by exploiting efficient coding criteria, such as Unequal Error and/or Loss Protection (UEP/ULP) and error concealment techniques. By network coding in hierarchical subspaces and matching the video decomposition at the soruce with the bandwidth availability at the receiver, we achieve seamless deliver of differentiated versions of the video, thus boosting the conjectured pontential of SVC transmission in new-generation networks. Biography: Michele was born in Cagliari, Italy, in 1984. He received the B.Sc. in Electronic Engineering and the M.Sc. in Telecommunications Engineering, both with honors (summa cum laude), from the University of Cagliari, Italy, in 2006 and 2008, respectively. He has been visiting student at the Institute for Communications Technology (IfN), TU Braunschweig, Germany, in 2008, to discuss his M.Sc. thesis on Artificial Speech Bandwidth extension with Prof. Tim Fingsheidt. He conducted research activities in collaboration with the Multimedia Communication Lab (MCLab), University of Cagliari, Italy, from Feb 2009 to Feb 2010, working on evolutionary algorithms for sensing in cognitive networks. He is currently pursuing the Ph.D. degree in Electronic Engineering at the Queen Mary, University of London, under the supervision of Prof. Ebroul Izquierdo. Publications: Journals
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| © Queen Mary, University of London 2010 | ||||||||||||||||||||||||||||||||||||||||||||
| Electronic Engineering, Queen Mary University of London, Mile End Road, London E1 4NS, UK Tel: +44 (0)20 7882 5346, Fax: +44 (0)20 7882 7997 | ||||||||||||||||||||||||||||||||||||||||||||