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EPSRC Reference: GR/S61997/01
Title: Maximising the End-to-End quality of the MPEG-4 & the H26L video coding standards over wired networks
Principal Investigator: Grecos, Professor C
Other Investigators:
Parish, Professor D Edirisinghe, Professor E
Researcher Co-Investigators:
Project Partners:
Loughborough University
Department: Electronic, Electrical & Systems Enginee
Organisation: Loughborough University
Scheme: Standard Research (Pre-FEC)
Starts: 01 May 2004 Ends: 31 August 2007 Value (£): 170,599
EPSRC Research Topic Classifications:
Multimedia Networks & Distributed Systems
EPSRC Industrial Sector Classifications:
Communications Creative Industries
Related Grants:
Panel History:  
Summary on Grant Application Form
Maximising End-to-End video quality in wired nettworks is a very desirable feature from the user's point of view. However, the extent to which this is achievable depends not only on the video coding scheme but also on the network conditions and the decoder specifications. This hollistic view of the video coding and transport problem reveals the need for derivation of optimal and nearly optimal parameter sets (profiles) which determine End-to-End quality by taking into account the influence of the coding system, the condition of the network and the decoder specifications. Profile generation covering a large gamut of parameters for single (quality) or multi-objective optimisations is always a bottleneck in compression standards such as MPEG-4 or the emerging H26L, since it is done on a trial and error basis and by using empirical evidence rather than sound mathematical theory. As such, the derived profiles can not represent optimal or nearly optimal settings for the interacting parameters in a video coding and transport system. This research proposal aims at maximising End-to-End video quality in a single and multi-objective optimisation framework by using iterative techniques both in the encoder-decoder and the transcoder-decoder scenarios and also in developing simple two way protocols that are able to re-optimise profiles dynamically, based on changing network conditions and availability of decoder resources.
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Organisation Website: http://www.lboro.ac.uk