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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fang-Lue Zhang Jue Wang Han Zhao Martin, R.R. Shi-Min Hu |
| Copyright Year | 1992 |
| Abstract | A major difference between amateur and professional video lies in the quality of camera paths. Previous work on video stabilization has considered how to improve amateur video by smoothing the camera path. In this paper, we show that additional changes to the camera path can further improve video aesthetics. Our new optimization method achieves multiple simultaneous goals: 1) stabilizing video content over short time scales; 2) ensuring simple and consistent camera paths over longer time scales; and 3) improving scene composition by automatically removing distractions, a common occurrence in amateur video. Our approach uses an L1 camera path optimization framework, extended to handle multiple constraints. Two passes of optimization are used to address both low-level and high-level constraints on the camera path. The experimental and user study results show that our approach outputs video that is perceptually better than the input, or the results of using stabilization only. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 5982 |
| Ending Page | 5994 |
| Page Count | 13 |
| File Size | 6582010 |
| File Format | |
| ISSN | 10577149 |
| Volume Number | 24 |
| Issue Number | 12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Optimization Motion segmentation Visualization Tracking Planning Optical imaging video editing Camera path cinematography distraction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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