- Day 2, 16:30‑17:15
- English talk
- Data Analysis
Recognising people in videos using a pre-trained deep learning model
In this talk, I will present how to recognise speakers and their speaking sessions in a filmed meeting using deep learning (deep convolutional neural networks; CNN). This project uses the "transfer learning" approach. Pre-trained CNN models, such as the VGG face descriptor used in this project, enable everyone to analyse photos or videos without training his own CNN. I will explain how to use a pre-trained model to extract face features and use clustering methods to identify different people without knowing their identity in advance. Results of a real case will be shown. Application and restriction of this method will be discussed.
Chia-Chun is a scientist and pianist. She is interested in various areas including astrophysics, data science, software engineering, and music. She currently works as an algorithm engineer at OnePlus.