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231224s2015 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2015.2493959
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|a eng
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| 100 |
1 |
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|a Zhang, Fang-Lue
|e verfasserin
|4 aut
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| 245 |
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|a Simultaneous Camera Path Optimization and Distraction Removal for Improving Amateur Video
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|c 2015
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 03.02.2016
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|a Date Revised 27.01.2016
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a 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 L(1) 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
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|a Journal Article
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|a Wang, Jue
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| 700 |
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|a Zhao, Han
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Martin, Ralph R
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hu, Shi-Min
|e verfasserin
|4 aut
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|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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|g 24(2015), 12 vom: 01. Dez., Seite 5982-94
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