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A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

Rafael Rodriguez-Sanchez, Jose Luis Martinez, Gerardo Fernandez-Escribano, Jose Luis Sanchez, Jose Manuel Claver
Instituto de Investigacion en Informatica de Albacete, Universidad de Castilla-La Mancha, Avenida de Espana s/n, 02071, Albacete, Spain
Advances in Multimedia Modeling, Lecture Notes in Computer Science, Volume 7131/2012, 551-562, 2012

@article{rodriguez2012fast,

   title={A Fast GPU-Based Motion Estimation Algorithm for H. 264/AVC},

   author={Rodr{‘i}guez-S{‘a}nchez, R. and Mart{‘i}nez, J. and Fern{‘a}ndez-Escribano, G. and S{‘a}nchez, J. and Claver, J.},

   journal={Advances in Multimedia Modeling},

   pages={551–562},

   year={2012},

   publisher={Springer}

}

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H.264/AVC is the most recent predictive video compression standard to outperform other existing video coding standards by means of higher computational complexity. In recent years, heterogeneous computing has emerged as a cost-efficient solution for high-performance computing. In the literature, several algorithms have been proposed to accelerate video compression, but so far there have not been many solutions that deal with video codecs using heterogeneous systems. This paper proposes an algorithm to perform H.264/AVC inter prediction. The proposed algorithm performs the motion estimation, both with full-pixel and sub-pixel accuracy, using CUDA to assist the CPU, obtaining remarkable time reductions while maintaining rate-distortion performance.
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