Parabolic motion-vector re-estimation algorithm for compressed video downscaling

Chia Hung Yeh*, Ying H. Chen, Ming Chieh Chi, Mei Juan Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


For multimedia communications, there is a need to downscale a video prior to transmission because of the limitation of the bandwidth of a channel, and/or the different standards between transcoders. However, performing motion estimation in the downscaled video is computational intensive. In this paper, a parabolic motion vector re-estimation (PMVR) algorithm is proposed to predict motion vectors of the downscaled video. The proposed algorithm can significantly reduce computational complexity with slight PSNR degradation, in comparison with full search algorithm. Experimental results show that, with few additional computation, the proposed algorithm achieves a much higher quality than several existing algorithms.

Original languageEnglish
Pages (from-to)375-386
Number of pages12
JournalJournal of Signal Processing Systems
Issue number3
Publication statusPublished - 2010 Dec
Externally publishedYes


  • Motion estimation
  • Motion vector re-estimation
  • Video downscaling
  • Video transcoding

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Modelling and Simulation
  • Hardware and Architecture


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