Many video processing algorithms can profit from motion information. Therefore, motion estimation is often an integral part of advanced video processings algorithms. This paper focuses on the estimation of true-motion vectors, that are required for scan-rate-conversion. Two recent motion estimator methods will be discussed. By combining these two methods, the major drawbacks of the individual MEs is eliminated. The new resulting motion estimator proves to be superior over alternatives in an evaluation.
|Number of pages||11|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|Publication status||Published - 1 Dec 1998|
|Event||Visual Communications and Image Processing '98 - San Jose, CA, United States|
Duration: 28 Jan 1998 → 30 Jan 1998
- Generalized Sampling Theorem
- Motion Estimation