Key Frame Extraction Algorithm for Video Images Based on Correlation Coefficient of Overlap Regions

被引：0

作者：

Lu X. ^{[1
]}

Lu Y. ^{[2
,3
]}

Jiao J. ^{[1
,4
]}

Tong X. ^{[2
]}

Zhang J. ^{[3
]}

机构：

[1] Key Laboratory of Mine Spatial Information Technologies of National Administration of Surveying, Mapping and Geoinformation, Henan Polytechnic University, Jiaozuo

[2] School of Surveying and Geo-Informatics, Tongji University, Shanghai

[3] National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing

[4] Institute of Remote Sensing and Surveying and Mapping Henan, Zhengzhou

来源：

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2019年 / 44卷 / 02期

关键词：

Correlation coefficient; Degree of overlap; Key frame; Polynomial fitting; Video stream data;

D O I：

10.13203/j.whugis20170038

中图分类号：

学科分类号：

摘要：

This paper presents an effective algorithm to extract key frames from video images based on the correlation coefficients derived from the overlapping regions of adjacent images. Firstly, the polynomial model is employed to fit the change trend of correlation coefficients. Secondly, the positions of key frames are located and extracted rapidly and correctly via the high correlation of overlapping regions of adjacent key frame images. Finally, the time-effectiveness of extracting key frames based on the degree of overlap is tested in a stance. The result shows that the proposed algorithm takes only near 1/4 of time consumed by single computing of the degree of overlap, with an accuracy up to 88% and it can achieve higher accuracy for extracting key frames with different requires of degree of overlap between video images. The panchromatic image generated from the mosaic of extracted key video frames shows no apparent missing of scenes, and the new algorithm demonstrates high reliability and transferability. © 2019, Research and Development Office of Wuhan University. All right reserved.

引用

页码：260 / 267

页数：7

共 18 条

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