A novel spatial-temporal position prediction motion-compensated interpolation for frame rate up-conversion

  • Authors:

  • Jianning Zhang;Lifeng Sun;Yuzhuo Zhong

  • Affiliations:

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China

  • Venue:
  • PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
  • Year:
  • 2006

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Abstract

In this paper, a novel spatial-temporal position prediction motion-compensated interpolation method (MCI) for frame rate up-conversion is proposed using the transmitted Motion Vectors (MVs). Based on our previous proposed GMPP algorithm, the new method uses the motion vectors correction (MVC) first. Then joint spatial-temporal position prediction algorithm is applied on the transmitted MVs to predict more accurately the positions the interpolated blocks really move to, which makes the MVs used for interpolation more nearer to the true motion. Then the weighted-adaptive spatial-temporal MCI algorithm is used to complete the final interpolation. Applied to the H.264 decoder, the new proposed method can achieve significant increase on PSNR and obvious decrease of the block artifacts, which can be widely used in video streaming and distributed video coding applications.