Content and transformation effect matching for automated home video editing
Xian‐Sheng Hua, Hong-Jiang Zhang · 2005
While camcordcrs havc bccome a commodity home appliance, few watch the recorded vidcos or sharc thcm with friends and relatives duc to the difficulty of turning thc raw footagc into a compclling vidco story. Previous works on Automated Video Editing (AVE) dcvelopcd an automatic solution for vidco contcnt selection and video-music matching. Howcvcr, to automatically apply vidco transformation effects, such a fastislow motion, thresholding, binariration and watercolor, has not been solved or even addressed. In this paper, we proposed several automatic video effect and contcnt matching schemes, which facilitate generating more compelling and intcrcsting AVE rcsults.