摘要
为保证激光视频图像检索结果中不存在重复性冗余图像,提出了基于互信息量均方差提取关键帧的激光视频图像检索方法。基于互信息量均方差的关键帧提取方法,以激光视频图像颜色的互信息量均方差最大化,为激光视频图像关键帧的聚类中心设置标准,以此聚类提取不重复的视频图像关键帧;通过基于关键帧的激光视频图像检索方法,将所提取关键帧作为激光视频图像检索的核心判断内容,提取与所需图像关键帧相似度显著的激光视频图像,完成激光视频图像检索。实验结果显示:此方法使用后,提取的激光视频图像关键帧冗余度仅有0.01,激光视频图像检索结果的MAP指标测试值高达0.98,检索结果中不存在重复性冗余图像。
In order to ensure that there are no repetitive redundant images in laser video image retrieval results,a laser video image retrieval method based on mutual information mean square error extraction of key frames is studied.In this method,a key frame extraction method based on the mutual information mean square error of laser video image color is adopted to maximize the mutual information mean square error of laser video image to set the criteria for the clustering center of laser video image key frame,so as to extract non-repetitive video image key frames by clustering.Through the laser video image retrieval method based on key frame,the extracted key frame is taken as the core judgment content of laser video image retrieval,and the laser video image with significant similarity to the required image key frame is extracted to complete the laser video image retrieval.The experimental results show that the redundancy of key frames extracted by this method is only 0.01,and the test value of MAP index of laser video image retrieval results is as high as 0.98.There is no repetitive redundant image in the retrieval results.
作者
胡秀
王书爱
HU Xiu;WANG Shu’ai(Jingchu University of Technology,Jingmen Hubei 448000,China)
出处
《激光杂志》
CAS
北大核心
2024年第3期145-149,共5页
Laser Journal
基金
荆门市科技计划项目(No.2022YFYB155)
湖北省教育科学规划课题(No.2021GB063)
湖北高校省级教学研究项目(No.2020678)。
关键词
互信息量
均方差
提取关键帧
激光视频
图像检索
聚类算法
mutual information
mean square deviation
extract key frames
laser video
image retrieval
clustering algorithm
