Interest Region Based Motion Magnification

@inproceedings{Verma2017InterestRB,
  title={Interest Region Based Motion Magnification},
  author={Manisha Verma and S. Raman},
  booktitle={ICIAP},
  year={2017}
}
  • Manisha Verma, S. Raman
  • Published in ICIAP 2017
  • Computer Science
  • In this paper, we proposed a method known as interest region based motion magnification for amplification of invisible motions. This method enables one to magnify subtle motion in the video for specific objects of interest to the user. To achieve this task, we have used object extraction using kernel K-means approach, automatic scribble drawing using super pixels and Bezier curves, alpha matting, and Eulerian motion magnification. The proposed method is tested on previously used video sequences… CONTINUE READING
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    References

    SHOWING 1-10 OF 19 REFERENCES
    Depth-Aware Motion Magnification
    • 25
    • PDF
    Motion magnification
    • 123
    Phase-based video motion processing
    • 397
    • PDF
    Video magnification in presence of large motions
    • 69
    • PDF
    Riesz pyramids for fast phase-based video magnification
    • 134
    • PDF
    A Closed-Form Solution to Natural Image Matting
    • 1,053
    • PDF
    Deviation magnification
    • 19
    • PDF