Salient frame extraction using support vector regression and motion features

We present a new support vector regression (SVR) algorithm to extract salient frames from videos. We use optical flow to describe motion in frames and an adaptive SVR to identify the abrupt change of content in frame sequences. We show that the proposed algorithm is computationally simple and effect...

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Bibliographic Details
Main Authors: Xian Du, Dua, S
Format: Conference Proceeding
Language:English
Subjects:
Adaptive optics
Computer vision
Estimation
Image motion analysis
Optical distortion
optical flow
Salient frame selection
Support vector machines
support vector regression
Videos
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Description
Summary:We present a new support vector regression (SVR) algorithm to extract salient frames from videos. We use optical flow to describe motion in frames and an adaptive SVR to identify the abrupt change of content in frame sequences. We show that the proposed algorithm is computationally simple and effective in detecting salient frames in video sequences.
ISSN:0547-3578
2379-2027
DOI:10.1109/NAECON.2010.5712934