Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13241
Title: Keypoint-based keyframe selection
Authors: Guan, G
Wang, Z
Lu, S
Deng, JD
Feng, DD
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on circuits and systems for video technology, 2013, v. 23, no. 4, p. 729-734 How to cite?
Journal: IEEE transactions on circuits and systems for video technology 
Abstract: Keyframe selection has been crucial for effective and efficient video content analysis. While most of the existing approaches represent individual frames with global features, we, for the first time, propose a keypoint-based framework to address the keyframe selection problem so that local features can be employed in selecting keyframes. In general, the selected keyframes should both be representative of video content and containing minimum redundancy. Therefore, we introduce two criteria, coverage and redundancy, based on keypoint matching in the selection process. Comprehensive experiments demonstrate that our approach outperforms the state of the art.
URI: http://hdl.handle.net/10397/13241
ISSN: 1051-8215
EISSN: 1558-2205
DOI: 10.1109/TCSVT.2012.2214871
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