A few challenges related to exploiting multimedia collections
le 3 octobre 2017
15h30 - 17h30
ENS Rennes, Salle du conseil
Plan d'accès
Intervention de Laurent Amsaleg, CR CNRS et Guillaume Gravier, DR CNRS, équipe LinkMedia (IRISA, CNRS, Rennes), dans le cadre des séminaires du département Informatique et télécommunications.
Part 1: Structuring multimedia collections with links for media analytics
Media analytics refers to interactive exploration of multimedia collections to search for information, gain insight and knowledge on a topic of interest. Exploring large-scale collections requires an organization of the collection on top of the description of each item. We will review recent research at IRISA on the creation of links in media archives to offer graph-based navigation in large-scale collections, leveraging speech and natural language processing, statistical modeling, machine learning and graph theory.
Part 2: Image recognition and adversarial attacks
Recent research has shown that image recognition is vulnerable to adversarial attacks. By adding to the query image an imperceptible amount of adversarial noise, it is highly likely that image recognition can be tricked, possibly returning with a high similarity confidence an image that we, as humans, find extremely dissimilar. Such adversarial behaviors have also been observed in the context of machine learning and deep learning. We will discuss these issues.
- Thématique(s)
- Formation, Recherche - Valorisation
- Contact
- David Cachera & Luc Bougé
Mise à jour le 29 septembre 2017