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|a 10.1109/TIP.2017.2749143
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|a eng
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| 100 |
1 |
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|a Wang, Miao
|e verfasserin
|4 aut
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|a Hyper-Lapse From Multiple Spatially-Overlapping Videos
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|c 2018
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|a Date Completed 30.07.2018
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|a Date Revised 30.07.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a 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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|a Journal Article
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1 |
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|a Liang, Jun-Bang
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| 700 |
1 |
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|a Zhang, Song-Hai
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lu, Shao-Ping
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shamir, Ariel
|e verfasserin
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| 700 |
1 |
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|a Hu, Shi-Min
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|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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|u http://dx.doi.org/10.1109/TIP.2017.2749143
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