Salient Frame Extraction Using Support Vector Regression and Motion Features

被引：0
|
作者：
Du, Xian [1 ]
Dua, Sumeet [1 ]
机构：
[1] Louisiana Tech Univ, Dept Comp Sci, Ruston, LA 71270 USA
来源：
PROCEEDINGS OF THE IEEE 2010 NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON) | 2010年
关键词：
Salient frame selection; support vector regression; optical flow; VIDEO; SEGMENTATION;
D O I：
10.1109/NAECON.2010.5712934
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
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.
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页码：122 / 125
页数：4
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