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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2020.2985866
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|a DE-627
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|a eng
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|a Young, Sean I
|e verfasserin
|4 aut
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|a Fast Optical Flow Extraction from Compressed Video
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|c 2020
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 27.02.2024
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|a published: Print-Electronic
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|a Citation Status Publisher
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|a We propose the fast optical flow extractor, a filtering method that recovers artifact-free optical flow fields from HEVCcompressed video. To extract accurate optical flow fields, we form a regularized optimization problem that considers the smoothness of the solution and the pixelwise confidence weights of an artifactridden HEVC motion field. Solving such an optimization problem is slow, so we first convert the problem into a confidence-weighted filtering task. By leveraging the already-available HEVC motion parameters, we achieve a 100-fold speed-up in the running times compared to similar methods, while producing subpixel-accurate flow estimates. Je fast optical flow extractor is useful when video frames are already available in coded formats. Our method is not specific to a coder, and works with motion fields from video coders such as H.264/AVC and HEVC
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|a Journal Article
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|a Girod, Bernd
|e verfasserin
|4 aut
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|a Taubman, David
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g (2020) vom: 13. Apr.
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|g year:2020
|g day:13
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|u http://dx.doi.org/10.1109/TIP.2020.2985866
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