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|a eng
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|a Wexler, Yonatan
|e verfasserin
|4 aut
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|a Space-time completion of video
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|c 2007
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|a Text
|b txt
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|a ohne Hilfsmittel zu benutzen
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|a Date Completed 27.03.2007
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|a Date Revised 16.01.2007
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|a published: Print
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|a Citation Status MEDLINE
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|a This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a well-defined objective function and derives a new algorithm to optimize it. Missing values are constrained to form coherent structures with respect to reference examples. We apply this method to space-time completion of large space-time "holes" in video sequences of complex dynamic scenes. The missing portions are filled in by sampling spatio-temporal patches from the available parts of the video, while enforcing global spatio-temporal consistency between all patches in and around the hole. The consistent completion of static scene parts simultaneously with dynamic behaviors leads to realistic looking video sequences and images. Space-time video completion is useful for a variety of tasks, including, but not limited to: 1) Sophisticated video removal (of undesired static or dynamic objects) by completing the appropriate static or dynamic background information. 2) Correction of missing/corrupted video frames in old movies. 3) Modifying a visual story by replacing unwanted elements. 4) Creation of video textures by extending smaller ones. 5) Creation of complete field-of-view stabilized video. 6) As images are one-frame videos, we apply the method to this special case as well
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Shechtman, Eli
|e verfasserin
|4 aut
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|a Irani, Michal
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1998
|g 29(2007), 3 vom: 16. März, Seite 463-76
|w (DE-627)NLM098212257
|x 0162-8828
|7 nnns
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|g volume:29
|g year:2007
|g number:3
|g day:16
|g month:03
|g pages:463-76
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