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

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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. © Springer-Verlag Berlin Heidelberg 2006.

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Zhang, J., Sun, L., & Zhong, Y. (2006). A novel spatial-temporal position prediction motion-compensated interpolation for frame rate up-conversion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4261 LNCS, pp. 870–879). Springer Verlag. https://doi.org/10.1007/11922162_99

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