现代电影技术Issue(1)：45-51,7.DOI:10.3969/j.issn.1673-3215.2025.01.006
基于亮度方差与深度学习的视频渐变镜头边界检测算法研究
Video gradient shot boundary detection algorithm based on brightness vari-ance and deep learning
摘要
Abstract
Shot is the basic unit of video indexing,browsing,and prompt restoration of old images.Hence,it is very impor-tant to develop an efficient shots segmentation algorithm and quickly locate the switching point.Through careful analysis of the characteristics of shots'connection,the switching point is found according to the characteristics of the histogram of brightness variance mean,so as to achieve the purpose of shots segmentation.For various types of gradient detection,firstly,the image offset is corrected by calculating the optical flow vector between adjacent images,and all potential shots boundaries are determined according to the vector quantization results and image entropy evaluation.Then,the superpix-els are tracked to extract the significant areas of the image,and the features of the video frames are learned by combining the pre-trained AlexNet model,and the gradient shot boundary detection model is trained.Finally,the histogram frame dif-ference method and optical flow method are used to eliminate the false detection caused by flash and height motion,and the boundary detection of the gradient shots is completed.The experimental results show that the proposed method per-forms well in the detection of gradient shots,and has strong robustness to the interference caused by moving scenes and flash lights.关键词
镜头分割/渐变检测/亮度方差/分块直方图Key words
Shots Segmentation/Gradient Detection/Brightness Variance/Block Histogram分类
信息技术与安全科学引用本文复制引用
徐敏,申奥,司小朦..基于亮度方差与深度学习的视频渐变镜头边界检测算法研究[J].现代电影技术,2025,(1):45-51,7.基金项目
上海第二工业大学校级青年项目"结合老电影损伤特点的旧影像色彩增强技术研究"(61402278). （61402278）
