New algorithm for motion estimation on interlaced video
Erwin B. Bellers, Gerard de Haan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
Many video processing algorithms can profit from motion information. Therefore, motion estimation is often an integral part of advanced video processing 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 tow methods, the major drawbacks of the individual MEs is eliminated. The new resulting motion estimator proves to be superior over alternatives in an evaluation.