Video content and structure description based on keyframes, clusters and storyboards
In this paper we present a novel system to extract keyframes, shot clusters and structural storyboards for video content description, which can be used for a variety of summarization, visualization, classification, indexing and retrieval applications. The system automatically selects an appealing set of keyframes and creates meaningful clusters of shots. It further identifies sections that appear recurrently, which are called anchors, and typically divide television shows into different parts. This information about anchors can then be used to browse video content in a new fashion. Finally, our system creates a new type of interactive storyboard suitable to visualize and analyze the structure of the video in a novel way.