ROI-Based Video Stabilization Algorithm for Hand-Held Cameras

Recently, a content-preserving warping algorithm utilizing 3D motion has been acknowledged as state-of-the-art thanks to its superior stabilization performance. However, the huge computational cost of this technique is a serious burden in spite of its excellent performance. Thus, we propose a fast video stabilization algorithm that provides significantly reduced computational complexity over the state-of-the-art with the same stabilization performance. First, we estimate the 3D information of the feature points in each input frame and define the region of interest (ROI) based on the estimated 3D information. Next, we apply the proposed ROI-based pre-warping and content-preserving warping sequentially to the input frame. From intensive simulation results, we find that the proposed algorithm reduces computational complexity by 15% of that of the state-of-the-art method, while keeping almost equivalent stabilization performance.