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Long-term global motion estimation and its application for sprite coding, content description, and segmentation

: Smolic, A.; Sikora, T.; Ohm, J.-R.


IEEE transactions on circuits and systems for video technology 9 (1999), Nr.8, S.1227-1242
ISSN: 1051-8215
ISSN: 1558-2205
Fraunhofer HHI ()
code standards; data compression; feature extraction; image matching; image representation; image segmentation; image sequences; motion estimation; prediction theory; telecommunication standards; video coding; long-term global motion estimation; content description; image objects; estimated motion parameters; continuous motion; time-consistent motion; affine motion parameters; higher order motion models; parabolic model; feature matching; optical flow techniques; translation; closed-loop prediction; mpeg-4 sprite coding; mpeg-7 motion description; higher order motion model; on-line applications; video sequences; object-based representation; video compression

We present a new technique for long-term global motion estimation of image objects. The estimated motion parameters describe the continuous and time-consistent motion over the whole sequence relatively to a fixed reference coordinate system. The proposed method is suitable for the estimation of affine motion parameters as well as for higher order motion models like the parabolic model-combining the advantages of feature matching and optical flow techniques. A hierarchical strategy is applied for the estimation, first translation, affine motion, and finally higher order motion parameters, which is robust and computationally efficient. A closed-loop prediction scheme is applied to avoid the problem of error accumulation in long-term motion estimation. The presented results indicate that the proposed technique is a very accurate and robust approach for long-term global motion estimation, which can be used for applications such as MPEG-4 sprite coding or MPEG-7 motion description. We also show that the efficiency of global motion estimation can be significantly increased if a higher order motion model is applied, and we present a new sprite coding scheme for on-line applications. We further demonstrate that the proposed estimator serves as a powerful tool for segmentation of video sequences.