Trailer Generation

Automated movie trailer generation aims to streamline the creation of compelling film previews by leveraging artificial intelligence. Current research focuses on developing deep learning models, such as transformers and recurrent neural networks, to analyze movie content (visuals, audio, dialogue) and automatically select and arrange key scenes to create engaging trailers. This involves tackling sub-tasks like fight scene detection, sentiment analysis, and multi-modal understanding to improve trailer quality and relevance. The field's advancements have implications for film marketing, content recommendation systems, and the broader study of video understanding and generation.