New algorithm for motion estimation on interlaced video

E.B. Bellers, G. de Haan

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)111-121
Number of pages11
JournalProceedings of SPIE
Issue number1
Publication statusPublished - 1 Dec 1998
Externally publishedYes
EventVisual Communications and Image Processing '98 - San Jose, CA, United States
Duration: 28 Jan 199830 Jan 1998


  • De-interlacing
  • Generalized Sampling Theorem
  • Motion Estimation


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