Hierarchical video summarization based on video structure and highlight

Authors:
Yuliang Geng;De Xu;Songhe Feng
Affiliations:
Institute of Computer Science and Technology, Beijing Jiaotong University, Beijing, China;Institute of Computer Science and Technology, Beijing Jiaotong University, Beijing, China;Institute of Computer Science and Technology, Beijing Jiaotong University, Beijing, China
Venue:
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2006

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Abstract

Video summarization is a significant scheme to organize massive video data, and implement a meaningful rapid navigation of video. In this paper, we propose a hierarchical video summarization approach based on video structure and highlight. We extract video structure unit, and measure the unit (frame, shot and scene) importance rank based on visual and audio attention models. According to the unit importance rank, the skim ratio and key frame ratio are assigned to the different video units. Thus we achieve a hierarchical video summary. Experimental results show the excellent performance of the approach.