Efficient local transformation estimation using Lie operators
Information Sciences: an International Journal
Global motion model for stereovision-based motion analysis
EURASIP Journal on Applied Signal Processing
A general framework for automatic on-line replay detection in sports video
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Analysis of a nonlinear least squares procedure used in global positioning systems
IEEE Transactions on Signal Processing
Fast global motion estimation via iterative least-square method
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Extracting representative motion flows for effective video retrieval
Multimedia Tools and Applications
Spatiotemporal saliency detection and salient region determination for H.264 videos
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
In this paper, a four-parameter model for global motion in image sequences is proposed. The model is generalized and can accommodate global object motions besides the motions due to the camera movements. Only the pan and the zoom global motions are considered because of their relatively more frequent occurrences in real video sequences. Besides the traditional least-squares estimation scheme, two more estimation schemes based on the minimization of the motion field bit rate and the global prediction error energy are proposed. Among the three estimation schemes, the iterative least-squares estimation is observed to be the best because of the least computational complexity, accuracy of the estimated parameters, and similar performance as with the other schemes. Four global motion compensation schemes including the existing pixel-based forward compensation are proposed. It is observed that backward compensation schemes perform similarly to the corresponding forward schemes except for having one frame delay degradation. The pixel based forward compensation is observed to have the best performance. A new motion vector coding scheme is proposed which has similar performance as the two-dimensional entropy coding but needs much less computation. Using the proposed coding scheme with the pixel-based forward compensation, we obtain 61.85% savings in motion field bit rate over the conventional motion compensation for the Tennis sequence