Abstract
This paper proposes a highly efficient MBRP parallel algorithm for H.264 encoder, which is based on the analysis of data dependencies in H.264 encoder. In the algorithm, the video frames are partitioned into several MB regions, each of which consists of several adjoining columns of macro-blocks (MB), which could be encoded by one processor of a multi-processor system. While starting up the encoding process, the wave-front technique is adopted, and the processors begin encoding process orderly. In the MBRP parallel algorithm, the quantity of data that needs to be exchanged between processors is small, and the loads in different processors are balanced. The algorithm could efficiently encode the video sequence without any influence on the compression ratio. Simulation results show that the proposed MBRP parallel algorithm can achieve higher speedups compared to previous approaches, and the encoding quality is the same as JM 10.2.
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© 2007 Springer-Verlag Berlin Heidelberg
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Sun, S., Wang, D., Chen, S. (2007). A Highly Efficient Parallel Algorithm for H.264 Encoder Based on Macro-Block Region Partition. In: Perrott, R., Chapman, B.M., Subhlok, J., de Mello, R.F., Yang, L.T. (eds) High Performance Computing and Communications. HPCC 2007. Lecture Notes in Computer Science, vol 4782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75444-2_55
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DOI: https://doi.org/10.1007/978-3-540-75444-2_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75443-5
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