Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths

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Date
2011-06Author
Grundmann, Matthias
Kwatra, Vivek
Essa, Irfan
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Show full item recordAbstract
We present a novel algorithm for automatically applying
constrainable, L1-optimal camera paths to generate stabilized
videos by removing undesired motions. Our goal is to
compute camera paths that are composed of constant, linear
and parabolic segments mimicking the camera motions
employed by professional cinematographers. To this end,
our algorithm is based on a linear programming framework
to minimize the first, second, and third derivatives of the resulting
camera path. Our method allows for video stabilization
beyond the conventional filtering of camera paths that
only suppresses high frequency jitter. We incorporate additional
constraints on the path of the camera directly in our
algorithm, allowing for stabilized and retargeted videos.
Our approach accomplishes this without the need of user
interaction or costly 3D reconstruction of the scene, and
works as a post-process for videos from any camera or from
an online source.