Key Frame Extraction Based on Scale Invariant Feature Transform

被引：1
|
作者：
Liu, Gentao [1 ]
Wen, Xiangming [1 ]
Lin, Xinqi [1 ]
Zhang, Hua [1 ]
机构：
[1] BUPT, Sch Informat & Telecommun, Beijing 100876, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA AND UBIQUITOUS ENGINEERING (MUE 2009) | 2009年
关键词：
key frame; SIFT; chain-match; rule-match; video clip;
D O I：
10.1109/MUE.2009.19
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Key frames are the subset of still images which best represent the content of a video sequence in an abstracted manner. They are widely used in video indexing, browsing and retrieval. In this paper, a novel content-based method for key frame extraction using scale invariant feature transform (SIFT) is proposed. Two mechanisms called chain-match and rule-match are developed to segment a video into groups of frames (video clips) according to vision content firstly. Then the frame with most SIFT keypoints in each video clip is extracted as the key frame. Experimental results show the method is effective and has a good performance.
引用
收藏
页码：45 / 48
页数：4
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