Full-Frame Video Stabilization with Motion Inpainting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual attention detection in video sequences using spatiotemporal cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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Annoying shaky motion is one of the significant problems in home videos, since hand shake is an unavoidable effect when capturing by using a hand-held camcorder. Video stabilization is an important technique to solve this problem. However, the stabilized videos resulted by current methods usually have decreased resolution and are still not so stable. In this sketch, we propose a novel, robust, and practical method of video stabilization while considering users' capturing intention. Our method can produce full-frame stabilized videos, and not only the high frequency shaky motions but also the low frequency unexpected movements are removed. To guess the user's capturing intention, we first consider the regions of interest (ROI) in the video to estimate which regions or objects the user wants to capture, and then use a polyline to estimate a new stable camcorder motion path while avoiding the user's interested regions being cut out. Then, we fill the dynamic and static missing areas caused by frame alignment from other frames to keep the same resolution and quality as the original video. Furthermore, we smooth the discontinuous regions by using a 3D Poisson-based method. After the above automatic operations, a full-frame stabilized video can be achieved and the important regions can also be preserved.