This lecture overviews Visual Speech Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Visual Speech Recognition: Visemes and Phonemes, Face detection, Landmark Localization, Lip reading, Speech reading beyond the lips. Audio-Visual Speech Recognition. Deep Audio-Visual Speech Recognition: Convolutional Neural Networks. Recurrent Neural Networks. Overlapped speech.… Continue reading Visual Speech Recognition
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Facial Feature Detection
This lecture overviews Facial Feature Detection that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Face Description Models (FDP/FAP, CANDIDE). Eyes detection. Mouth and lip detection. Eyebrows, nose, chin detection. DNN Facial Feature Detection. Dynamic 3D face modeling.
Face De-identification for Privacy and Protection
Privacy protection is a very important issue, in the context of social media and GDPR. This lecture overviews the face de-identification problem from an engineering perceptive. In principle, face de-identification methods aim on calculating an affine or a non-linear transformation to an input facial image, so that the depicted person identity is no longer recognized… Continue reading Face De-identification for Privacy and Protection
Face Clustering
This lecture overviews Face Clustering that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Facial image similarities. Similarity graphs. N-cut clustering. Applications.
Face Recognition
This lecture overviews that has many applications in Human-centered Computing, Image and Video Analysis, Surveillance and Social Media Analytics. It covers the following topics in detail: Face recognition/identification. Face verification. Performance evaluation. Traditional face recognition methods (subspace, EGM). DNN face recognition. Facial label propagation.
Crowd Detection and Analysis
This lecture overviews Crowd Detection and Analysis that has many applications in Human-centered Computing, Image and Video Analysis and Smart City applications and surveillance. It covers the following topics in detail: Pedestrian Detection. Crowd Detection. Crowd Counting/Density. Crowd Tracking. Crowd Behavior Analysis.