Laboratoire d'Informatique en Images et Systèmes d'Information (LIRIS)

Research topics

The LIRIS (Laboratory of Image Informatics and Information Systems) carries out upstream research in informatics along six lines of research, while developing know-how for the benefit of society in close collaboration with a wide range of fields of application: culture and heritage, environment and urban life, biology and health, ambient intelligence, human learning, digital leisure, scientific calculations.

The LIRIS is an informatics research unit and more generally studies information sciences and technologies officially recognised by the CNRS (UMR 5005). The scientific activities of these 12 research teams are divided into 6 internationally recognised areas of competence:

• Imaging and visual recognition (Imagine and M2DisCo teams): construction of algorithms to understand multimedia data (images, videos, digital documents, 3D scenes) and is broken down into acquisition/reconstruction, indexing, modelling, classification and automatic content recognition (objects, actions, concepts).
• Geometry and modelling (GeoMod and M2DisCo teams): 3D reconstruction (dynamic, controlled quality etc.), procedure-based modelling (complex or natural scenes, ecosystems etc.) and the geometric and topological analysis and processing of networking or discrete forms (descriptor calculation, indexing, compression, tattooing, segmentation, visualisation etc.).
• Simulation, virtuality and computational sciences (Beagle, R3AM and SAARA teams): development of computer formalism and software tools for modelling and simulating complex systems through synergies with the disciplines of biology/physics/medicine/engineering.
• Data science (BD, DM2L and GRAMA teams): design of new and robust representation, processing, access, exploitation and protection models for the masses of heterogeneous data, whether structured or not, and which may be continuously and quickly distributed and produced.
• Services, distributed systems and security (DRIM and SOC teams): development of new models, languages, protocols and tools for distributed services and systems ensuring service quality, service and data, and efficient information searches as part of big data and linked open data.
• Interactions and cognition (GRAMA and SILEX teams): study and design of dynamic systems in which several human or software agents are interacting with each other, based on individual and collective properties and the cognitive abilities of the agents; modelling of man-machine or agent-agent abilities to build up knowledge, to help the user or to analyse usages.

Subjects

- Image and visual recognition: image processing, shape recognition, information merging, automatic learning, modelling using restrictions, discrete and continuous optimisation
- Geometry and modelling: algorithmic geometry, discrete geometry, geometric modelling, whether procedure-based or not, topological modelling, 3D reconstruction, analysis, compression and visualisation of large geometric objects
- Simulation, virtuality and computational sciences: modelling and simulation of complex systems, creation of physical models for realistic simulations, realistic rendering, augmented reality
- Data science: of modelling (graphs, algorithms, statistical learning, declarative languages) with system aspects (middleware, integration platforms, prototypes)
- Services, distributed services and security: discovery and composition of application services used on the Internet, quality of service and fault tolerance, security, trust and reputation, content adaptation and customisation, semantic, interactive and collaborative information search, reliable dissemination/sharing of information
- Interactions and cognition: dynamics of knowledge and traced experience, co-design of computer-based learning (CBL), multi-agent interactive systems, self-management systems, cognition and developmental learning systems

Fields of application

The LIRIS is developing know-how for the benefit of society in close collaboration with engineering, human and social sciences, environmental sciences and life sciences:
- Culture and heritage: digital library, critical edition, archiving, virtual 3D museum
- Environment and urban life: intelligent buildings, 3D modelling of built structures and towns, SIG, mobility, transport optimisation, intelligent transport systems
- Biology and health: modelling of living things, hadrontherapy, engineering for health
- Ambient intelligence: pervasive and distributed systems, intelligent video-surveillance, self-* multi-agent systems
- Human learning: customisation, cognitive assistance, collaborative learning assistance, serious games
- Digital leisure: video games, animated films
- Scientific calculations: processing of large volumes of data and Internet exchanges