
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.
anzsrc-for: 1702 Cognitive Sciences, 46 Information and Computing Sciences, augmented reality and games, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 0801 Artificial Intelligence and Image Processing, anzsrc-for: 4607 Graphics, 4603 Computer Vision and Multimedia Computation, anzsrc-for: 4603 Computer Vision and Multimedia Computation, anzsrc-for: 0906 Electrical and Electronic Engineering, 004
anzsrc-for: 1702 Cognitive Sciences, 46 Information and Computing Sciences, augmented reality and games, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 0801 Artificial Intelligence and Image Processing, anzsrc-for: 4607 Graphics, 4603 Computer Vision and Multimedia Computation, anzsrc-for: 4603 Computer Vision and Multimedia Computation, anzsrc-for: 0906 Electrical and Electronic Engineering, 004
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