Depth enhanced and content aware video stabilization

A. Lindner; K. Atanassov; S. Goma

doi:10.1117/12.2083443

11 March 2015 Depth enhanced and content aware video stabilization

A. Lindner, K. Atanassov, S. Goma

Proceedings Volume 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015; 941106 (2015) https://doi.org/10.1117/12.2083443
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

We propose a system that uses depth information for video stabilization. The system uses 2D-homographies as frame pair transforms that are estimated with keypoints at the depth of interest. This makes the estimation more robust as the points lie on a plane. The depth of interest can be determined automatically from the depth histogram, inferred from user input such as tap-to-focus, or selected by the user; i.e., tap-to-stabilize. The proposed system can stabilize videos on the fly in a single pass and is especially suited for mobile phones with multiple cameras that can compute depth maps automatically during image acquisition.

Citation Download Citation

A. Lindner, K. Atanassov, and S. Goma "Depth enhanced and content aware video stabilization", Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015, 941106 (11 March 2015); https://doi.org/10.1117/12.2083443

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KEYWORDS

Transform theory

Video

Cameras

3D modeling

Motion models

Sensors

3D video streaming

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