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DISTRIBUTED CODING FOR VIDEO SERVICES

Objective

Over the past decade several video coding technologies have emerged to achieve great commercial success and it is widely expected that digital video systems will completely replace all existing traditional analogue based video systems during the next decade. DISCOVER will address the development of several advanced digital video coding technologies which are very likely to represent a breakthrough in new video coding application scenarios. Until now video coding research and standardization have been adopting a video coding paradigm where it is the task of the encoder to explore the source statistics, leading to a complexity balance where complex encoders interact with simpler decoders. This paradigm is strongly dominated and determined by applications such as broadcasting, video on demand, and video streaming. Distributed Video Coding adopts a completely different coding paradigm by giving the decoder the task to exploit 'partly or wholly' the source statistics to achieve efficient compression. This change of paradigm also moves the encoder-decoder complexity balance, allowing the provision of efficient compression solutions with simple encoders and complex decoders. This new coding paradigm, never considered by any video coding standard, is particularly adequate to emerging applications such as wireless video cameras and wireless low-power surveillance networks, disposable video cameras, certain medical applications, sensor networks, multi-view image acquisition, networked camcorders, etc., where low complexity encoders are a must because memory, computational power, and energy are scarce. The objective of DISCOVER is to explore and to propose new video coding schemes and tools in the area of Distributed Video Coding with a strong potential for new applications, targeting new advances in coding efficiency, error resiliency, scalability, and model based-video coding thus paving the way for a breakthrough regarding the next video coding generation.

Funding Scheme

STREP - Specific Targeted Research Project

Coordinator

UNIVERSITAT POLITECNICA DE CATALUNYA
Address
Jordi Girona 1-3
08034 Barcelona
Spain

Participants (5)

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
Address
Epfl-sti-its, Station 11
CH-1015 Lausanne
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
France
Address
Campus De Beaulieu
35042 Rennes
INSTITUTO SUPERIOR TECNICO
Portugal
Address
Avenida Rovisco Pais
1049-001 Lisboa
UNIVERSITA' DEGLI STUDI DI BRESCIA
Italy
Address
Via Branze, 38
I-25123 Brescia (Bs)
UNIVERSITAET HANNOVER
Germany
Address
Appelstr. 9A
D-30167 Hannover