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Advanced computer vision applied on interactive videos for the benefit of the e-commerce industry
The goal is to develop a new in-video e-commerce service that enables users to purchase apparels directly from streaming videos, such as TV shows and Music videos. To do this, we have to find apparels from an inventory list that are similar to apparel or style appearing in the video. Currently, this can be done by preprocessing videos and with the help of a human expert matching displayed apparel to items available from e-commerce stores. We aim to automate the matching task and do so in near real-time.
Faculty Supervisor:
Jia Yuan Yu
Student:
Partner:
Dataperformers Company Inc.
Discipline:
Engineering
Sector:
Retail trade
University:
Concordia University
Program:
Accelerate
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