Scene-based movie summarization via role-community networks

Chia Ming Tsai, Li Wei Kang, Chia Wen Lin, Weisi Lin

研究成果: 雜誌貢獻期刊論文同行評審

51 引文 斯高帕斯(Scopus)


Video summarization techniques aim at condensing a full-length video to a significantly shortened version that still preserves the major semantic content of the original video. Movie summarization, being a special class of video summarization, is particularly challenging since a large variety of movie scenarios and film styles complicate the problem. In this paper, we propose a two-stage scene-based movie summarization method based on mining the relationship between role-communities since the role-communities in earlier scenes are usually used to develop the role relationship in later scenes. In the analysis stage, we construct a social network to characterize the interactions between role-communities. As a result, the social power of each role-community is evaluated by the community's centrality value and the role communities are clustered into relevant groups based on the centrality values. In the summarization stage, a set of feasible summary combinations of scenes is identified and an information-rich summary is selected from these candidates based on social power preservation. Our evaluation results show that in at most test cases the proposed method achieves better subjective performance than attention-based and role-based summarization methods in terms of semantic content preservation for a movie summary.

頁(從 - 到)1927-1940
期刊IEEE Transactions on Circuits and Systems for Video Technology
出版狀態已發佈 - 2013

ASJC Scopus subject areas

  • 媒體技術
  • 電氣與電子工程


深入研究「Scene-based movie summarization via role-community networks」主題。共同形成了獨特的指紋。