Abstract
Logical Story Unit segmentation in general domains, such as movies and television series, requires interaction between experts and automatic tools. We present an interaction model that allows users, who are non-experts in the field of video processing, to segment videos into Logical Story Units by tuning segmentation model parameters rather than manually adjust results of automatic methods. Suitable features are determined interactively by visualizing their values in the context of the original video data.