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Fast Optical Flow Extraction from Compressed Video.

Sean I Young, Bernd Girod, David Taubman

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 15, 2020
    PubMed
    Summary
    This summary is machine-generated.

    We developed a fast optical flow extractor to recover artifact-free optical flow fields from compressed video. This method significantly speeds up processing while maintaining subpixel accuracy, even with artifact-ridden motion fields.

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    Area of Science:

    • Computer Vision
    • Video Processing
    • Signal Processing

    Background:

    • Compressed video formats like HEVC (High Efficiency Video Coding) often contain motion field artifacts.
    • Accurate optical flow estimation is crucial for various video analysis tasks.
    • Existing methods for optical flow extraction from compressed video can be computationally intensive.

    Purpose of the Study:

    • To propose a novel filtering method for artifact-free optical flow extraction from HEVC-compressed video.
    • To develop a computationally efficient approach for accurate optical flow estimation.
    • To leverage existing compressed video motion parameters for improved performance.

    Main Methods:

    • Formulated a regularized optimization problem incorporating solution smoothness and pixelwise confidence weights from HEVC motion fields.
    • Converted the slow optimization problem into a faster confidence-weighted filtering task.
    • Utilized HEVC motion parameters to accelerate the optical flow extraction process.

    Main Results:

    • Achieved a 100-fold speed-up in running times compared to similar methods.
    • Produced subpixel-accurate optical flow estimates.
    • Recovered artifact-free optical flow fields from HEVC-compressed video.

    Conclusions:

    • The fast optical flow extractor provides an efficient and accurate solution for recovering optical flow from compressed video.
    • The method is beneficial when video frames are already in coded formats.
    • The approach is versatile and compatible with motion fields from various video coders, including H.264/AVC and HEVC.