Hyper-Lapse From Multiple Spatially-Overlapping Videos
Hyper-lapse video with high speed-up rate is an efficient way to overview long videos, such as a human activity in first-person view. Existing hyper-lapse video creation methods produce a fast-forward video effect using only one video source. In this paper, we present a novel hyper-lapse video creat...
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 4 vom: 07. Apr., Seite 1735-1747 |
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1. Verfasser: | |
Weitere Verfasser: | , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2018
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Schlagworte: | Journal Article |
Zusammenfassung: | Hyper-lapse video with high speed-up rate is an efficient way to overview long videos, such as a human activity in first-person view. Existing hyper-lapse video creation methods produce a fast-forward video effect using only one video source. In this paper, we present a novel hyper-lapse video creation approach based on multiple spatially-overlapping videos. We assume the videos share a common view or location, and find transition points where jumps from one video to another may occur. We represent the collection of videos using a hyper-lapse transition graph; the edges between nodes represent possible hyper-lapse frame transitions. To create a hyper-lapse video, a shortest path search is performed on this digraph to optimize frame sampling and assembly simultaneously. Finally, we render the hyper-lapse results using video stabilization and appearance smoothing techniques on the selected frames. Our technique can synthesize novel virtual hyper-lapse routes, which may not exist originally. We show various application results on both indoor and outdoor video collections with static scenes, moving objects, and crowds |
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Beschreibung: | Date Completed 30.07.2018 Date Revised 30.07.2018 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
ISSN: | 1941-0042 |
DOI: | 10.1109/TIP.2017.2749143 |