Section: Partnerships and Cooperations

Regional Initiatives

• Title  : Interactive COding for Navigation in 3D scenes

• Partners: Inria-Rennes (Sirocco) and I3S Sophia-Antipolis (M. Antonini)

• Funding: CNRS GDR ISIS

• Period : Sept.2017-Sept.2018.

The project ICON 3D, funded by the GdR-Isis, aims at developing new geometry prediction algorithms for surface meshes. Given a part of a mesh, the prediction algorithm should be able to estimate a neighboring mesh subset corresponding to the one newly visible after user viewpoint angle change.

• Title : Interactive Communication (INTERCOM): Massive random access to subsets of compressed correlated data .

• Research axis : 7.4.1

• Partners : Inria-Rennes (Sirocco team and I4S team); LabSTICC, IMT-Atlantique, Signal & Communications Department; External partner: M. Kieffer L2S.

• Funding : Labex CominLabs.

• Period : Oct. 2016 - Nov. 2019.

This project aims to develop novel compression techniques allowing massive random access to large databases. Indeed, we consider a database that is so large that, to be stored on a single server, the data have to be compressed efficiently, meaning that the redundancy/correlation between the data have to be exploited. The dataset is then stored on a server and made available to users that may want to access only a subset of the data. Such a request for a subset of the data is indeed random, since the choice of the subset is user-dependent. Finally, massive requests are made, meaning that, upon request, the server can only perform low complexity operations (such as bit extraction but no decompression/compression). Algorithms for two emerging applications of this problem are being developed: Free-viewpoint Television (FTV) and massive requests to a database collecting data from a large-scale sensor network (such as Smart Cities).