Where People Look? An introduction of Computational Models of Saliency
20th June 2014, 2:00pm - 3:00pm
Salle C48, Télécom ParisTech - 46 rue Barrault Paris 13 - Metro Corvisart (how to get there ?)
For many applications in computer vision, mobile robotics, cognitive systems, graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. This is a challenging task given that no one fully understands how the human visual system works. Modeling visual attention, particularly stimulus-driven, saliency-based attention from ground truth eye tracking data, has been a very active research area over the past 25 years. Many different models of attention and large eye tracking data sets are now available and should help future research. This presentation aims to provide a global view of the current state-of-the-art in visual attention modeling as well as some applications.
Nicolas Riche holds an Electrical Engineering degree from the University of Mons, Engineering Faculty (since June 2010). His master thesis was performed at the University of Montreal (UdM) and dealt with automatic analysis of the articulatory parameters for the production of piano timbre. In 2011, he obtained a FRIA grant for pursuing a PhD thesis about the implementation of a multimodal model of attention for real time applications.