计算机应用与软件2025，Vol.42Issue(4)：114-121,188,9.DOI:10.3969/j.issn.1000-386x.2025.04.018
基于多特征融合相似度的视频关键帧提取算法
VIDEO KEYFRAME EXTRACTION ALGORITHM BASED ON MULTI-FEATURE FUSION SIMILARITY
摘要
Abstract
Aiming at the low efficiency of keyframe extraction in content-based video retrieval,resulting in insufficient representation of selected keyframes and performance of the entire video retrieval system,this paper proposes a keyframe extraction algorithm based on multi-feature fusion similarity.A combination method of color histogram and full convolutional neural network was used to detect video shots,and segmented the video into shots with higher content correlation.The multi-feature fusion similarity method was used to extract keyframes from the segmented shots.This paper used the deep feature similarity method to remove redundant keyframes,and obtained more accurate results.Experimental results shows that the extracted keyframes have a strong generality for video,and can be applied to video retrieval and summary.The overall recall and precision rate can reach 85.61％and 83.21％,respectively.Compared with other algorithms,the redundancy of the key frames extracted by this algorithm is relatively small.关键词
关键帧提取/特征向量/镜头检测/特征提取/深度网络/三重损失学习Key words
Keyframe extraction/Feature vector/Shot detection/Feature extraction/Deep network/Triplet loss learning分类
信息技术与安全科学引用本文复制引用
黄清,丰洪才,刘立,陈凌云..基于多特征融合相似度的视频关键帧提取算法[J].计算机应用与软件,2025,42(4):114-121,188,9.基金项目
湖北省教育厅重点科研计划项目(D20101703). （D20101703）
