基于结构相似度聚类视频关键帧提取方法
Extraction Method of Video Key Frame Based on Structural Similarity Clustering
魏子怡 1任小玲 1孟玉茹1
作者信息
- 1. 西安工程大学计算机科学学院 西安 710048
- 折叠
摘要
针对帧间差分法对视频关键帧提取冗余度高的问题,提出了基于结构相似度聚类视频关键帧提取方法.首先,通过帧间差分法对视频内容进行粗划分;其次利用层次聚类法对粗划分的结果进行聚类;最后,引用结构相似度函数(SSIM)剔除其冗余帧,得到最终的关键帧序列.实验结果表明,该方法与传统的帧间差分法及颜色直方图方法相比,能够更好地提取出关键帧,且平均查全率和查准率分别提了10.23%、5.33%.
Abstract
In order to solve the problem of high redundancy in the extraction of video key frames by inter-frame difference method,an extraction method of video key frames based on structural similarity clustering is proposed.Firstly,the video content is roughly divided by the inter-frame difference method.Secondly,the result of the coarse division is used for clustering,and the structural similarity function(SSIM)is introduced to eliminate redundant frames to obtain the final key frame sequence.The experi-mental results show that compared with the traditional inter-frame difference method and color histogram method,the method in this paper can better extract key frames,and the average recall and precision rates are improved by 10.23%and 5.33%,respective-ly.
关键词
关键帧/帧差法/聚类/结构相似度Key words
key frame/frame difference method/clustering/structural similarity引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据