Video Data Mining: Rhythms in a Movie
Kimiaki Shirahama, Kazuhisa Iwamoto and Kuniaki Uehara
Graduate School of Science and Technology, Kobe University,
Nada, Kobe, 657-8501, Japan
Abstract 　The task to discover useful editing patterns from a professional video, such as a movie, is one of the main purpose of video data mining. These patterns successfully convey editor’s intentions to the viewers. However, data mining on multimedia data like a movie is a challenging task, due to the complicated contents of multimedia data. Particularly, the discovered patterns need to be supported by their semantic features, because these features tell the amateur editors how to use the corresponding patterns during the process of editing a new video.
　In this paper, we focus on the rhythm in a movie, consisting of a durations of a target character’s appearance and disappearance. Based on this rhythm, we divide the movie into topics. Each topic corresponds to one meaningful episode of the character. By investigating such topics, we can discover useful editing patterns of character’s rhythm, supported by their semantic features. Also, these rhythms can be used to annotate certain types of topics. (full text)