Automated video editing for aesthetic quality improvement

Jun Ho Choi, Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)9781450334594
Publication statusPublished - 2015 Oct 13
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: 2015 Oct 262015 Oct 30

Publication series

NameMM 2015 - Proceedings of the 2015 ACM Multimedia Conference


Other23rd ACM International Conference on Multimedia, MM 2015

Bibliographical note

Publisher Copyright:
© 2015 ACM.

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software


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