| KEYWORD |
AI, Action Insight: The Art of Sports Video Data Science
Thesis in external company
keywords DATA ANALYSIS, DEEP LEARNING, DEEP LEARNING, VIDEO ANALYSIS, DEEP NEURAL NETWORKS
Reference persons FRANCESCO DELLA SANTA
External reference persons Ing. Morgana Lalli (Deltatre Innovation Lab)
Research Groups Analisi numerica e calcolo scientifico
Thesis type THESIS IN COLLAB. W/ A COMPANY
Description This project embarks on a cutting-edge journey to transform sports video content into a rich source of actionable metadata. Employing state-of-the-art technologies, this project will focus on identifying,
classifying, and extracting key sports information from video content. Initial phases will concentrate on developing sport-specific models for high-precision data such as action recognition and player
identification, with an overarching goal to evolve towards a partially sport-agnostic solution. The endgame is a comprehensive, sport-agnostic database, brimming with insights, which will serve as a
goldmine for crafting new and captivating sports narratives.
See also deltatre - action insight.pdf
Deadline 05/07/2024
PROPONI LA TUA CANDIDATURA