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Real-Time Video Stylization Using Object Flows.

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    This study introduces a real-time video stylization system using object flow to reduce flickering and improve coherence. The novel approach effectively renders painterly styles on videos, enhancing visual quality and temporal stability.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Image Processing

    Background:

    • Real-time video stylization is challenging due to temporal inconsistencies and motion complexities.
    • Existing methods often struggle with inaccurate optical flow, object transformations, and occlusions, leading to artifacts like the shower-door effect.
    • Maintaining temporal coherence in stylized videos is crucial for a visually pleasing output.

    Purpose of the Study:

    • To develop a real-time video stylization system capable of rendering diverse painterly styles on video inputs.
    • To introduce and leverage 'object flow' as a key technical contribution for robust stylization.
    • To significantly reduce temporal flickering and the shower-door effect in stylized videos.

    Main Methods:

    • Developed a novel 'object flow' estimation technique robust to inaccurate optical flow, object transformations, and partial occlusions.
    • Utilized metric learning for real-time and automatic construction of object flows, linking object regions across frames.
    • Extended bilateral filtering to 'motion bilateral filtering' to enhance temporal coherence in stylized videos.

    Main Results:

    • Demonstrated a variety of painterly styles rendered effectively on real video inputs.
    • Successfully reduced the shower-door effect by relating object regions across frames using object flows.
    • Achieved significant reduction in temporal flickering through motion bilateral filtering.
    • Proposed quantitative metrics to evaluate temporal coherence in structures and textures of stylized videos.

    Conclusions:

    • The proposed real-time video stylization system effectively renders painterly styles with improved temporal coherence.
    • Object flow is a robust and key component for reducing artifacts and enhancing stylization quality.
    • The system offers a significant advancement over baseline methods and prior works in video stylization.