农业工程学报2012，Vol.28Issue(17)：125-130,6.DOI:10.3969/j.issn.1002-6819.2012.17.018
基于光流与熵统计法的花卉生长视频关键帧提取算法
Key-frame retrieval method based on optical flow and entropy statistic for blooming video
摘要
Abstract
The original video of flower growth process contains large amount of data and plenty of redundance information. In order to obtain the video of flower growth process to facilitate the researchers, which is endowed with high compression ratio, small amount of data, rich growth details information and natural fluency, a key frame extraction method was introduced to process the original video. According to the characteristics of flower growing process, he motion detection algorithm was chosen to take tests on them. Through the simulation analysis of frame difference method, this paper proposed a new key frame extraction method based on optical flow and direction information entropy. Experiment showed that in the case of extracting the same number of key frames, this method can perform details of the flower movement better, which is superior to the frame difference method.关键词
图像处理/熵/光流/关键帧提取/花卉Key words
image processing/ entropy/ optical flows/ key frame retrieval/ flowers分类
信息技术与安全科学引用本文复制引用
王璐,高林,闫磊,李小婉..基于光流与熵统计法的花卉生长视频关键帧提取算法[J].农业工程学报,2012,28(17):125-130,6.基金项目
北京市自然科学基金资助项目(6123035) （6123035）
