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A Fast Selection Algorithm for Multiple Reference Frames in H.264/AVC

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Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4233))

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Abstract

The newest video coding standard H.264/AVC provides multiple reference frames motion estimation in the spatial region, and the optimal frame is selected by RDO (Rate Distortion Optimization) with high coding complexity. However, the coding efficiency only depends on the attribute of sequences, not on the number of reference frames. In this paper, statistical characteristics of the best reference frame with variable block size are studied, and a fast algorithm that takes into account the correlation is proposed. The reference frame of block mode may be chosen based on the computing result of the above block mode. Experimental results show that with similar Distortion performance, the algorithm can efficiently reduce the computational complexity by 19% averagely.

This work was supported by the NSFC (60573150), the National Defense Basic Research Foundation, and the Program for New Century Excellent Talents in University, and the research was made in the State Key Lab of Software Development Environment.

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© 2006 Springer-Verlag Berlin Heidelberg

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Qing-lei, M., Chun-lian, Y., Bo, L. (2006). A Fast Selection Algorithm for Multiple Reference Frames in H.264/AVC. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893257_51

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  • DOI: https://doi.org/10.1007/11893257_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46481-5

  • Online ISBN: 978-3-540-46482-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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