Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Automatic casting applications aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. This project will focus on the tasks of re-identify the face of each principal actors when they appear in different scenes of a movie. This is a challenging task because although recent movies are typically high resolution, the faces are often occluded and their appearance varies significantly according to pose, scale, illumination, blur, etc. This project will focus on developing and evaluating convolutional neural network (CNN) architectures that are suitable for accurate face re-identification in automatic casting applications. Deep learning architectures have recently been shown to provide a significantly higher level of accuracy compared to conventional methods on many challenging visual recognition problems. However, these architectures are complex, and the unlabelled facial trajectories captured in a movie provide a limited reference data to adapt or fine-tune CNNs.
Hugo Lemoine St-André
Hugo Lemoine St-André
Centre de recherche informatique de Montréal
Visual arts
Information and communications technologies
École de technologie supérieure
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.