This lecture discusses automatic facial expression recognition in groups. It contrasts individual facial expression analysis with group emotion detection, considering factors like spatial arrangement, social context (top- down and bottom-up effects), and individual expression weights. A proposed model incorporates these factors to predict overall group emotion (positive, neutral, negative) using image analysis and machine learning techniques.