计算机工程与科学2012，Vol.34Issue(1)：94-97,4.DOI:10.3969/j.issn.1007-130X.2012.01.017
基于增量主成份分析的在线视频镜头边界检测
Online Shot Boundary Detection Based on Incremental Principal Component Analysis
摘要
Abstract
Shot boundary detection is the key point of content-based video retrieval. In order to implement online detection, a method based on incremental principal component analysis (IPCA) is proposed to analyze video in a real-time way in this paper, and then to get the shot boundary. Its advantage is detecting shot boundary and extracting abstract video without acquiring the whole video in advance, in virtue of which it makes the online detection come true. But it needs large memory, which can be solved by the way proposed. The experiment proves it has good performance.关键词
基于内容的视频检索/镜头边界检测/增量主成份分析Key words
content-based video retrieval/ shot boundary detection incremental principal component analysis (IPCA)分类
信息技术与安全科学引用本文复制引用
朱庆生,孟贵超,葛垚..基于增量主成份分析的在线视频镜头边界检测[J].计算机工程与科学,2012,34(1):94-97,4.基金项目
国家863计划资助项目(2006AA10Z233) （2006AA10Z233）
国家自然科学基金资助项目(60773082) （60773082）
