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Journal of Signal Processing Systems

, Volume 61, Issue 3, pp 375–386 | Cite as

Parabolic Motion-Vector Re-estimation Algorithm for Compressed Video Downscaling

  • Chia-Hung YehEmail author
  • Ying H. Chen
  • Ming-Chieh Chi
  • Mei-Juan Chen
Article

Abstract

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.

Keywords

Motion estimation Motion vector re-estimation Video transcoding Video downscaling 

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Chia-Hung Yeh
    • 1
    Email author
  • Ying H. Chen
    • 2
  • Ming-Chieh Chi
    • 1
  • Mei-Juan Chen
    • 3
  1. 1.National Sun Yat-Sen UniversityKaohsiungRepublic of China
  2. 2.National Health Research InstituteMiaoli CountyRepublic of China
  3. 3.National Dong-Hwa UniversityHualienRepublic of China

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