Section: Contracts and Grants with Industry

Grants with Industry

CIFRE contract with Orange on 3D scene analysis

Participants : Christine Guillemot, Mouid Keskes, Olivier Le Meur.

• Title  : 3D scenes analysis.

• Research axis : §  6.1.2 .

• Partners : Orange Labs, Inria-Rennes.

• Funding : Orange Labs.

• Period : Dec.11-Nov.14.

This contract with Orange labs. (starting in Dec. 2011) aims at extracting, identifying and removing objects in a 3D unconstrainted environment. To reach this objective, several views of the same scene will be used. Spatio-temporal segmentation of 3D video content will be developped.

CIFRE contract with Orange on 3D quality assessment

Participants : Darya Khaustova, Olivier Le Meur.

• Title  : Objective Evaluation of 3D Video Quality.

• Research axis : §  6.1.3 .

• Partners : Orange Labs, Inria-Rennes.

• Funding : Orange Labs.

• Period : Dec.11-Nov.14.

This contract with Orange labs. (starting in Dec. 2011) aims at developping a video quality metric for 3D content. The usage of 3D video is expected to increase in the next years. In order to ensure a good QoE (Quality of Experience), the 3D video quality must be monitored and accuratly measured. The goal of this thesis is to study objective measures suitable for estimating 3D video quality. A comparison with ground truth as well as with the state-of-the-art 2D metrics should be carried out. To be as effective as possible, the feature of the human visual system should be taken into account.

CIFRE contract with Thomson/Technicolor on sparse modelling of spatio-temporal scenes

Participants : Safa Cherigui, Christine Guillemot.

• Title  : Sparse modeling of spatio-temporal scenes

• Research axis : §  6.1.4 .

• Partners : Thomson, Irisa/Inria-Rennes.

• Funding : Thomson, ANRT.

• Period : Nov.09- Oct.12.

This CIFRE contract concerns the Ph.D of Safa Cherigui. The objective is to investigate texture and scene characterization methods and models based on concepts of spatio-temporal epitomes and/or signatures for different image processing problems focusing in particular on video compression and editing. A novel method has been developed for constructing the epitome representation of an image. The epitome has been used for image compression showing significant performance gain with respect to H.264 Intra prediction modes.