Technology of Graphic & Image
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3183-3186

Key frame extraction algorithm based on feature of moving target

Tian Lihua
Zhang Mi
Li Chen
School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Abstract

Motion features are difficult to extract which easily leads to missed and redundant frames in the result. In order to solve this problem, this paper proposed a method of key frames extraction based on feature of moving target. The method reduced redundant rate and missed rate of the result set by emphasizing the features of the moving target and weakening the background features of the frame. This method took a frame with a burst entropy change is taken as part of the key frame firstly. Then, it extracted the SIFT points of the moving target from the frame of which the entropy value had not suddenly changed. Finally, it extracted key frames according to the entropy and SIFT distribution respectively. Experimental results show that the miss rate of this algorithm is low. At the same time, key frame results can accurately and completely describe the main content of the video.

Foundation Support

国家自然科学基金资助项目(61403302)
西安交通大学科研业务基金资助项目(XJJ2016029)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0363
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3183-3186
Serial Number: 1001-3695(2019)10-068-3183-04

Publish History

[2019-10-05] Printed Article

Cite This Article

田丽华, 张咪, 李晨. 基于运动目标特征的关键帧提取算法 [J]. 计算机应用研究, 2019, 36 (10): 3183-3186. (Tian Lihua, Zhang Mi, Li Chen. Key frame extraction algorithm based on feature of moving target [J]. Application Research of Computers, 2019, 36 (10): 3183-3186. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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