While camcorders have become a commodity home appliance, few watch the recorded videos or share them with friends and relatives due to the difficulty of turning the raw footage into a compelling video story. Previous works on Automated Video Editing (AVE) developed an automatic solution for video content selection and video-music matching. However, to automatically apply video transformation effects, such as fast/slow motion, thresholding, binarization and watercolor, has not been solved or even addressed. In this paper, we proposed several automatic video effect and content matching schemes, which facilitate generating more compelling and interesting AVE results.