采用动态主分量距离测度的视频索引技术  

Efficient video indexing method using dynamic distance measure for the principal component

作　　者：崔江涛[1] 郭勇[1] 李广鑫[1] 

机构地区：[1]西安电子科技大学计算机学院,陕西西安710071

出　　处：《西安电子科技大学学报》2009年第6期1086-1091,共6页Journal of Xidian University

基　　金：国家青年自然科学基金资助(60603098)

摘　　要：针对有界坐标技术(BCS)技术中静态计算主分量距离的固有缺陷,指出在高维空间中正轴顶点之间的距离不一定是主分量之间的最小距离,提出了一种基于动态主分量测度的视频索引方法,用于视频特征的相似性度量.该方法充分考虑了高维空间中主分量的方向特性,能够精确计算出主分量之间的最小距离,从而提高了视频特征相似性度量的准确性.在30000个视频片段数据库上的实验表明,新方法能够显著提高BCS技术的查询准确率.The Bounded Coordinate System （BCS） approach is a novel video representation model, which can summarize a video to a coordinate system determined by Principal Component Analysis （PCA）. The similarity measure of BCS considers the operations of rotation and scaling for coordinate system matching. However, the BCS approach can not always obtain the minimum distance of rotation and scaling between two bounded Principal Components. To overcome the handicap of the original BCS approach, an improving approach applying dynamic distance measure for rotation and scaling distance is presented in this paper. The new approach can calculate the minimum rotation and scaling distance between two bounded Principal Components, and improve the query precision. Our extensive performance study on a large database of more than 30000 video clips demonstrates that the new approach achieves a higher search accuracy than the BCS approach.

关 键 词：视频查询 高维索引 主分量 动态距离测度 

分 类 号：TP311.134.3[自动化与计算机技术—计算机软件与理论]