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Fast Optical Flow Extraction From Compressed Video
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OA
AI
DOI：10.1109/TIP.2020.2985866.png)
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摘要
En 中文
We propose the fast optical flow extractor, a filtering method that recovers artifact-free optical flow fields from HEVC-compressed 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 artifact- ridden 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. The 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.
Keyword:
Adaptive optics
Optical imaging
Optimization
Motion estimation
Video coding
Image edge detection
Optical filters
Optical flow
inverse problems
edge-preserving filtering
HEVC
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
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