Hand jitter descriptor for mobile video identification

The hand jitter usually has a negative effect on recorded video, but combined with intentional camera motion, it forms a unique global motion pattern intrinsic to the video sequence. Therefore a useful application that involves hand jitter would be to identify videos taken by hand-held devices by extracting and matching a compact descriptor entirely based on global motion. We confirm this idea via a video matching experiment that shows how even a simple and fast global motion extraction method, based on integral projections, provides excellent short clip identification and localization results, despite severe video modifications.