In this paper, we investigate the problem of automatically constructing characters¡¦ social network from movies. Unlike existing approaches that use co-appearance information to measure the relationship between two characters, we argue that a method that describes the characters¡¦ interaction, rather than the co-appearance, makes more sense. We propose a new scheme that quantifies the interaction of characters by the use of film-editing cues, based on which we construct the characters¡¦ social network. Experiments on real-world data validate the effectiveness of the proposed method. In addition, we show an application of discovering characters¡¦ social clusters enabled by the automatically constructed social network.
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