基于全局运动信息的视频检索技术

运动信息是描述视频内容的一种重要信息,本文介绍了一个基于全局运动信息的视频检索系统.在该系统中,我们通过对视频数据进行短时全局运动分析,较为精确地提取出了描述全局摄像机运动的双线性运动模型,并以该模型参数为运动特征,以特征点序列顺序匹配以及全局运动矢量距离平方和为基础,构造了一个视频检索方案.实验结果表明,在特定的应用领域,如体育类视频中,我们的检索方案能够实现一定程度的语义内容检索,同时提供了采用其他图像特征所无法实现的检索功能.

Video Retrieval Based on the Global Motion Information

Motion is an important clue to describe the content of a video sequence.This paper presents a global motion information based video retrieval system.In this system,video sequences have undergone a short-term global motion analysis,which will accurately extract the bilinear motion model of the global camera motion.The extracted model parameters are used as motion features for retrieval,and the retrieval scheme is based on the feature point sequential match technique and the calculation of square sum of global motion vector distance.Experimental results show that in certain application domain,such as sports video,our retrieval scheme could achieve a near-semantic content retrieval,and it provides new functionalities that other image based features cannot achieve.