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Recent growth in the number of digital videos available motivates the development of video databases for the efficient management of these videos. Common video databases use image information calculated @om key frames such as color, texture, shape to index videos, and only few of them are capable to store and retrieve motion information. In this paper we present a method for automatic motion based video indexing and retrieval. A prototype system has been developed, which automatically splits a video into shorter unit called shots, extract representative ffames @om each shot and estimates motion information in the neighborhood of the r-frame with the phase correlation method. A q u e y can be an extracted motion information of a short sample image sequence, or a quantitatively given motion intensity in five region of the frame.