In these days, a large number of videos is taken by vari-ous 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 mo-tion, and color distribution as key aesthetic features. Given an amateur video, our system computes the original unre-ned 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.
|Title of host publication||MM 2015 - Proceedings of the 2015 ACM Multimedia Conference|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||4|
|Publication status||Published - 2015 Oct 13|
|Event||23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia|
Duration: 2015 Oct 26 → 2015 Oct 30
|Name||MM 2015 - Proceedings of the 2015 ACM Multimedia Conference|
|Other||23rd ACM International Conference on Multimedia, MM 2015|
|Period||15/10/26 → 15/10/30|
Bibliographical notePublisher Copyright:
© 2015 ACM.
All Science Journal Classification (ASJC) codes
- Media Technology
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition