The project is focussed on research and development of 3D video perceptual quality monitoring in error prone networks, such as the near future 3DTV services over IP or DVB networks. The challenge is to establish a set of (Quality of Experience) QoE metrics and their relationship with objective measurements that affect the overall QoE. These metrics are computed from a combination of transport network layer information, quality features of 3D video signal and coding parameters embedded in compressed streams. The project seeks to investigate No-Reference (NR) methods such that blind 3D quality assessment can be carried out at any point of the delivery chain including the receiving terminal. Such an approach is rather more challenging than Full-Reference (FR) or even Reduced-Reference (RR) methods, where either the original signal or partial information about it is available.

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