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In this paper, we propose an adaptive region of interest (ROI) estimation for aerial surveillance video. The adaptive ROI estimation algorithm first analyzes how the camera is used, such as pan, tilt and zoom control parameters, from the ego-motion computed from the aerial surveillance video. Using a frame based camera operator attention model, we can not(More)
We study real-time one-pass video stabilization on mobile devices such as smartphones and tablets. A localized camera path planning framework is proposed, where through maintaining a forward or backward-looking buffer window, the short-term camera trajectory is locally optimized according to cinematographic rules. Also, we propose a hybrid auto-corrective(More)
F or generations, people have taken pictures and videos to preserve memories for personal reflection as well as for sharing experiences with others. As a result of the convenience, ease of use, and quality improvements in smartphone cameras, many people now opt to use a smartphone instead of a digital camera for multimedia capture. Sales statistics confirm(More)
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