Effici ent processing, i.e. analysis, storage, access and transmission  of visual content, with contin uously increasing  data rates, in environments which are more and more mobile and distributed, remains a  key challenge of the years to come. New imaging modalities(high dynamic range (HDR), multiview, plenoptic, light fields, 360° videos)  generating very large volumes of data contribute to the sustained need for efficient algorithms for a variety of processing tasks.

Building upon a strong background on signal/image/video processing and  information theory, the g oal  of the project-team is the design of  mathematically founded tools and algorithms for visual data analysis, modelling, representation, coding, and processing, with for the latter area an emphasis on inverse problems related to super-resolution, restoration and editing.

Our activities are thus organized around the following  inter-dependent axes:

  • Visual data analysis and visual attention modeling
  • Signal processing and learning methods for visual data representation and compression
  • Algorithms for inverse problems in advanced visual data processing
  • Coding for distributed processing and interactive communication

The proposed research is at the frontier of computer vision, signal processing, coding and information theory. In terms of application domains, the team primarily targets networked visual and immersive  applications such as 3DTV, FTV, camera sensor networks. However, tools developed for video analysis find natural applications in visual content editing .

Some illustrations of past results (previous team TEMICS and following-up team SIROCCO) can be found here.