Video Chapter Generation

Video chapter generation focuses on automatically segmenting long videos into meaningful chapters, each with a descriptive title, to improve user navigation and understanding. Recent research emphasizes developing robust models that integrate visual and textual information, often employing multi-modal architectures and leveraging large-scale datasets of user-generated chapters for training and evaluation. This work is significant because it addresses the growing need for efficient video organization and summarization, impacting areas like video search, accessibility, and educational content delivery.