Analysis representation, compression and communication of visual data
Analysis representation, compression and communication of visual data

Efficient processing, i.e. analysis, storage, access and transmission of visual content, with continuously increasing raw data rates, in environments which are more and more mobile and distributed, remains a key challenge of the years to come. The emergence of new image modalities leads to a sustained need for algorithmic tools allowing efficient compression and communication of large volumes of visual data, of visual features and descriptors extracted for different video processing tasks.

The goal of the project-team is the design of algorithms and practical solutions in the areas of visual data analysis, modeling, representation, compression and communication. Our activities are thus structured around the following inter-dependent axes:

  • Analysis and modeling for compact representation and navigation in large volumes of visual data
  • Representation and compression of visual data
  • Distributed processing and robust communication of visual data

The proposed research is at the frontier of computer vision, signal processing, coding and information theory. In terms of application domains, the project will primarily target networked visual applications such as 3DTV, FTV, camera sensor networks, satellite and medical imaging applications.

Centre(s) inria
Inria Centre at Rennes University
In partnership with
CNRS,Université Rennes 1


Team leader

Caroline Tanguy

Team assistant