Block-matching translation and zoom motion-compensated prediction by sub-sampling
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Long-term memory motion-compensated prediction
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Affine multipicture motion-compensated prediction
IEEE Transactions on Circuits and Systems for Video Technology
Affine Motion Prediction Based on Translational Motion Vectors
IEEE Transactions on Circuits and Systems for Video Technology
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Motion compensated prediction (MCP) implemented in most video coding schemes is based on translational motion model. However, nontranslational motions, for example, rotational motions, are common in videos. Higher-order motion model researches try to enhance the prediction accuracy of MCP by modeling those nontranslational motions. However, they require affine parameter estimation, and most of them have very high computational complexity. In this paper, a translational and rotational MCP method using special subsampling in the interpolated frame is proposed. This method is simple to implement and has low computational complexity. Experimental results show that many blocks can be better predicted by the proposed method, and therefore a higher prediction quality can be achieved with acceptable overheads. We believe this approach opens a new direction in MCP research.