Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : INRIA Montpellier
Durée : 12 mois
Contact : reza.akbarinia@inria.fr
Date limite de publication : 2021-07-12

Contexte :
This position is proposed in the context of a research project (PerfAnalytics) whose objective is to analyze sport videos in order to provide feedback to coaches and athletes, in particular to French sport federations with a view to the Paris 2024 Olympic Games. Video recording of performance is present today in many high-level sport practices. However, the coaches and athletes are left with tools that are not suited to their specific needs.

The first step of the project is to store large volumes of sport video data. In a second step, these data will be analyzed to characterize the performance of the athletes, and to model successful strategies of actions in relation to the environmental context (equipment, adversaries, etc.).

Sujet :
The main activity of the recruited person is the development of a large-scale NoSQL database for the management of sport videos, as well as the visualization of performance results.

The main tasks to be done are as follows:
    – Designing a NoSQL database to store large volumes of video data
    – Developing effective indexing and querying strategies for data analysis
    – Developing solutions for visualizing the sport performance results
    – Taking into account the data access policies
    – Finally, depending on the progress of the project, it will also be considered to envisage parallel solutions for analyzing video data.

Profil du candidat :
Preference will be given to highly motivated candidates with good knowledge/ experience in NoSQL data management systems, particularly MongoDB.

Formation et compétences requises :
– Knowledge / experience in NoSQL data management systems, particularly MongoDB.

Adresse d’emploi :
Inria, Zenith team
Campus Saint-Priest, Bâtiment 5
860 rue de St Priest
34392 Montpellier Cedex 5
France