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Video attention: Learning to detect a salient object sequence

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Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional random field framework, while static and dynamic salience, spatial and temporal coherence, global topic model are well defined and integrated to identify a salient object sequence. Dynamic programming algorithm is designed to resolve a global optimization, with a rectangle to represent each salient object. We validate our approach on a large number of video segments with the labeled salient object sequence.
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
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