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.