Video Memorability

Video memorability research aims to understand and predict how well people remember video content, impacting fields like advertising and education. Current research employs machine learning models, including transformer networks and convolutional neural networks, often analyzing visual saliency, temporal patterns (e.g., focusing on initial frames), and even EEG data to identify neural correlates of memorability. These efforts are improving the ability to automatically predict memorability, offering insights into the cognitive processes underlying memory and enabling the creation of more memorable videos.