Two-stage motion compensation using adaptive global MC and local affine MC
IEEE Transactions on Circuits and Systems for Video Technology
Long-term memory motion-compensated prediction
IEEE Transactions on Circuits and Systems for Video Technology
Introduction to the special issue on the H.264/AVC video coding standard
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
Motion- and aliasing-compensated prediction for hybrid video coding
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
EURASIP Journal on Advances in Signal Processing
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In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some attempts toward a more general motion model usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated Prediction (BTZMP) is proposed to extend the pure translational model to a more general model with zooming in a practical way. It adopts the camera zooming and object motions that becomes zooming while projected on the video frames. The proposed BTZMP significantly improve motion compensated prediction. Experimental results show that BTZMP can give prediction gain up to 1.09dB compared to conventional sub-pixel block-matching MCP. In addition, BTZMP can be incorporated with Multiple Reference Frames (MRF) technique to give extra improvement, evidentially by the prediction gain ranging up to 2.08dB in the empirical simulations.