The subject of facial recognition is explored by Dominic Rüfenacht in his paper ’Customized Facial Expression Analysis in Video’ and by Yuka Kaburagi in the paper ’Face Detector: A Real-time Face Recognition System for Live Broadcasting’.
Facial recognition is one of today’s most controversial media technologies. Recent claims are that it can reliably recognise subjects wearing sunglasses or medical masks, and that it can even differentiate between identical twins.
Not all of its many possibilities are sinister, however. In this session we shall see how facial processing is already employed by a global broadcaster and that it is demonstrating its value in several areas of live broadcast production, such as assisting a commentator to recognise each of 500 runners in a road race.
IBC Digital Watch presentations by Dominic Rüfenacht on ’Customized Facial Expression Analysis in Video’ and by Yuka Kaburagi on ’Face Detector: A Real-time Face Recognition System for Live Broadcasting’
In a second presentation we shall discover how a convolutional neural network has been trained to classify facial expressions, allowing it to recognise and tag emotion in video material. This provides an entirely new way of categorising and searching drama and movie content.
- More Tech Paper sessions here
Download the papers below
CUSTOMIZED FACIAL EXPRESSION ANALYSIS IN VIDEO by Dominic RuefenachtPDF, Size 1.29 mb
FACE DETECTOR A REAL-TIME FACE RECOGNITION by Yuka KaburagiPDF, Size 0.82 mb
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