Abstract: A video content retrieval method based on spatio-temporal change information is presented.A variable interval key-frame selection strategy with self-adaptability is used to extract the temporal change content of the shot,and the spatial salient content is extracted with a spatio-temporal attention model.For each salient area in the key-frame,scalable color descriptor,homogenous texture descriptor and contour shape descriptor are extracted according to M peg-7 standard,and the match degree of two salient areas is calculated using the combined value of three low-level visual descriptors.Finally,an algorithm is proposed to calculate the match degree between two shots.Experiment is made to compare the proposed algorithm with other methods,and the results show that the presented algorithm can effectively retrieve the desired videos according to their contents.