Multi-View Video Summarization

10 years 8 months ago
Multi-View Video Summarization
Previous video summarization studies focused on monocular videos, and the results would not be good if they were applied to multi-view videos directly, due to problems such as the redundancy in multiple views. In this paper, we present a method for summarizing multi-view videos. We construct a spatio-temporal shot graph and formulate the summarization problem as a graph labeling task. The spatio-temporal shot graph is derived from a hypergraph, which encodes the correlations with different attributes among multi-view video shots in hyperedges. We then partition the shot graph and identify clusters of event-centered shots with similar contents via random walks. The summarization result is generated through solving a multi-objective optimization problem based on shot importance evaluated using a Gaussian entropy fusion scheme. Different summarization objectives, such as minimum summary length and maximum information coverage, can be accomplished in the framework. Moreover, multi-level su...
Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuan
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TMM
Authors Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuanming Song, Zhi-Hua Zhou
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