Automated Video Editing for Aesthetic Quality Improvement
Junho H. Choi, Jong‐Seok Lee · 2015
In these days, a large number of videos is taken by various kinds of handheld devices, but many of them have poor aesthetic quality. In this paper, we present an automated video editing system that uses the shot length, camera motion, and color distribution as key aesthetic features. Given an amateur video, our system computes the original unrefined camera motion as homography and tries to remove some unreliable frames, which consequently splits the video into several shots. It then applies enhancement processes, including reconstruction of the overall camera motions and harmonization of color distributions. We apply our method to some amateur videos and evaluate the results through a subjective test. It is demonstrated that reducing the shot length in our method is a key point of editing that can lead enhanced satisfaction by viewers for the edited videos.