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Leader: Christine GUILLEMOT

Efficient processing, i.e. analysis, storage, access and transmission  of visual content, with continuously increasing  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 processing tasks.

Building upon a strong background on signal/image/video processing and  information theory, 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. More precisely, the team tackles different theoretical and practical issues of  the visual data analysis, compression, communication and rendering chain, which are complementary and can hardly be addressed separately in networked application scenarios.  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, and medical  imaging applications. However, tools developed for video analysis will find natural applications in visual content editing as well as retrieval, in particular in the context of band-limited networked applications (e.g. mobile retrieval scenarios).

Team created since: 01/01/12
Associated establishments: Inria, Université de Rennes 1, CNRS
Location : Campus of Beaulieu, RENNES (35)