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Article overview
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Video Summarization in a Multi-View Camera Network | | Rameswar Panda
; Abir Das
; Amit K. Roy-Chowdhury
; | | Date: |
1 Aug 2016 | | Abstract: | While most existing video summarization approaches aim to extract an
informative summary of a single video, we propose a novel framework for
summarizing multi-view videos by exploiting both intra- and inter-view content
correlations in a joint embedding space. We learn the embedding by minimizing
an objective function that has two terms: one due to intra-view correlations
and another due to inter-view correlations across the multiple views. The
solution can be obtained directly by solving one Eigen-value problem that is
linear in the number of multi-view videos. We then employ a sparse
representative selection approach over the learned embedding space to summarize
the multi-view videos. Experimental results on several benchmark datasets
demonstrate that our proposed approach clearly outperforms the
state-of-the-art. | | Source: | arXiv, 1608.0310 | | Services: | Forum | Review | PDF | Favorites | |
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