摘要
针对已有检索系统的不足,设计并实现了一种基于镜头内容的视频检索系统.该系统在镜头边缘检测关键技术上,采用了一种基于相邻尺度小波变换乘积的镜头检测方法;在关键帧提取关键技术上,采用了一种基于多特征自适应阈值检测的关键帧提取方法,实现了对镜头内容的多层次描述,并且所选取的关键帧能够很好地反映视频内容.最后将研究方法通过检索平台进行了验证.
Considering the shortcomings in existing retrieval systems,a video retrieval system is designed and realized based on shot contents.The retrieval system use a lens edge detection method based on the wavelet transform multiplication of adjacent scales.Furthermore,it uses a key-frame extraction method based on adaptive threshold detection of multi-features,in order to achieve the description of a multi-level of the lens contents and the selected key frames adequately reflecting the video content.Finally,these methods are tested and verified through this system.
出处
《山东理工大学学报（自然科学版）》
CAS
2013年第3期21-24,共4页
Journal of Shandong University of Technology:Natural Science Edition
基金
河南省科技厅攻关项目(122400450356)
关键词
视频检索
镜头边缘检测
小波变换
关键帧提取
阈值检测
video retrieval
lens edge detection
wavelet transform
key-frame extraction
threshold detection
