Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

The project is the design and development of an intelligent data platform to recommend relevant contextualx000D
informational graphics to overlay on the video feed of broadcasted sport events. The goal is to automate thex000D
data processing and graphic generation task and design a recommender system that is trained on the previousx000D
generated sequences. The recommender will thus provide relative sequences according to what is consideredx000D
interesting valuable information while viewing sports games. The adjustments of the system and the finalx000D
editorial decision is left to the operator. The objectives of the project are: (1) to collect, wrangle, analyze, andx000D
specify required data sources needed for such a platform; (2) prototype, verify, and then develop an intelligentx000D
recommender system to automate the data processing and graph classification modules; and (3) empower thex000D
system to adapt with new sources of data and integrate data changes according to the main goals the platform isx000D
planned to achieve. The deliverable of the project is a prototype of the smart recommender system. This projectx000D
is done in partnership with AstuceMedia, a Montreal-based company specialized in real-time interactivex000D
broadcast graphics design and data integration.