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.
This work has been supported by the National Natural Science Foundation of China under Grant No. 60503063 and No. 60432030 and supported by 973 Project under Grant No. 2006CB303103.
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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: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_99
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DOI: https://doi.org/10.1007/11922162_99
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