曲阜师范大学学报（自然科学版）Issue(1)：69-71,3.DOI:10.3969/j.issn.1001-5337.2015.1.069
基于关键点匹配的视频镜头边界检测
Video Shot Boundary Detection Based on Key Points Matching
摘要
Abstract
Shot boundary detection is to find the beginning and the end of each shot,it is the foundation of any video analysis,and it is the first step for content based video retrieval,so its efficiency and accuracy are directly related to the success of the whole video retrieval.However,as the influence of the camera and obj ect motion,the accuracy of the existing shot boundary detection is still low.To solve the problem,this paper proposed the shot boundary detection method based on keyword matching.The method determines the shot boundary by comparing the number of keywords matching between two consecutive frames, which has higher accuracy.关键词
镜头边界检测/SIFT算法/关键点匹配/突变镜头/渐变镜头Key words
shot boundary detection/SIFT algorithm/keyword matching/abrupt change shot/gradu-al change shot分类
信息技术与安全科学引用本文复制引用
厉霞,李旭健..基于关键点匹配的视频镜头边界检测[J].曲阜师范大学学报（自然科学版）,2015,(1):69-71,3.基金项目
国家自然科学基金（61170253），山东科技大学“春蕾计划” （）
