Raconteur: from intent to stories

When editing a story from a large collection of media, such as photos and video clips captured from daily life, it is not always easy to understand how particular scenes fit into the intent for the overall story. Especially for novice editors, there is often a lack of coherent connections between scenes, making it difficult for the viewers to follow the story. In this paper, we present Raconteur, a story editing system that helps users assemble coherent stories from media elements, each annotated with a sentence or two in unrestricted natural language. It uses a Commonsense knowledge base, and the AnalogySpace Commonsense reasoning technique. Raconteur focuses on finding story analogies – different elements illustrating the same overall "point", or independent stories exhibiting similar narrative structures. Author Keywords Storytelling, media editing, story goal, story analogy, commonsense computing, video, photograph. ACM Classification Keywords H5.m. Information interfa...

• Type: Conference
• Year: 2010
• Where: IUI
• Authors: Pei-Yu Chi, Henry Lieberman
• Keywords: Commonsense Knowledge Base, Commonsense Reasoning Technique, IUI 2010, Overall Story, Software Engineering