A sense of speed in camera motion
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
Super-resolution for synthetic zooming
EURASIP Journal on Applied Signal Processing
Camera motion estimation by image feature analysis
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
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Camera motion detection is essential for automated video analysis. We propose a new probabilistic model for detecting zoom-in/zoom-out operations. The model uses EM to estimate the probability of a zoom versus a non-zoom operation from standard MPEG motion vectors.Traditional methods usually set an empirical threshold after deriving parameters proportional to zoom, pan, rotate and tilt. In contrast, our probabilistic model has a solid probabilistic foundation and a clear, simple probability threshold. Experiments show that this probabilisticmodel significantly out-performs a baseline parametric method for zoom detection in both precision and recall.