Abstract
In modern video coding systems, motion estimation and compensation play an indispensable role among various video compression tools. However, translation motion model is still extensively employed for motion compensation, making the systems not efficient in handling complex inter-frame motion activity including scaling, rotation and various forms of distortion. In this paper, we propose a local affine motion prediction method, which manages to improve the inter-frame image prediction quality using the conventional motion vectors. Our method is characterized with no extra overhead, such that no extra bit has to be sent to the decoder for proper decoding. Experimental results show that our method manages to achieve a maximum average bit rate reduction of 5.75% compared to the conventional inter-frame prediction method using translation only motion compensation techniques, at no cost on quality degradation. Our proposed algorithm is useful for the current video standard, H.264, but is also particularly efficient for large partition size coding modes. For future video compression standards: high-efficiency video coding (HEVC) or the possible H.265, which could include partition sizes of 64 × 64 and 32 × 32, the coding gain should further be boosted by making use of our proposed algorithm.
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Acknowledgements
This work is supported by the Centre for Multimedia Signal Processing, Hong Kong Polytechnic University(G-U863) and ASTRI (Hong Kong Applied Science and Technology Research Institute)
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Cheung, HK., Siu, WC. (2013). Replacing Conventional Motion Estimation with Affine Motion Prediction for High-Quality Video Coding. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_13
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_13
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