Key object-based static video summarization

Authors:
Zhiqiang Tian;Jianru Xue;Xuguang Lan;Ce Li;Nanning Zheng
Affiliations:
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China
Venue:
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Year:
2011

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Abstract

In this paper, we present a system for object-based video summarization facilitated by an efficient video object segmentation system. We eliminate the redundancy not only from spatial and temporal domain, but also from content domain. First, we detect shot boundaries and extract video objects by a 3D graph-based algorithm. Once the objects are obtained, the shape of the objects need to be represented. The key objects are extracted in a global manner by K-means clustering of shapes. Experimental results on the proposed object-based scheme combined with efficient video object segmentation show desirable summarization.